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Senior Software Engineer, Machine Learning - Data Platforms
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Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the team
A reliable, privacy-safe, and scalable data foundation is critical to Roku’s rapidly growing advertising business. The Ad Data Activation organization builds the identity systems, device graph pipelines, audience platforms, insights tooling, and data collaboration capabilities that power targeting, measurement, and reporting across Roku Ads.
We are hiring a Senior Machine Learning Engineer to help drive intelligence across these systems. You will work at the intersection of large-scale data platforms, applied machine learning, and generative AI — building capabilities that make Roku's advertising data more actionable for internal teams and advertisers. This includes building core generative AI platform features for Roku Advertising, while also applying traditional ML techniques to improve accuracy, automation, and decisioning across the ecosystem. If you enjoy working across data, ML, and new Gen-AI patterns — and want to shape how intelligence shows up inside Roku Ads — this role is for you.
About the role
In this role, you will design, build, and productionize intelligent capabilities that combine agentic Gen-AI systems with conventional ML pipelines across identity resolution, audience modeling, attribution, and optimization workflows. You will work with massive datasets, develop pipelines that transform raw signals into actionable features, and partner closely with product, data science, and platform teams.
What you will be doing
- Develop scalable and effective ML models and data pipelines to power identity, graph enrichment, audience segmentation, and campaign performance intelligence
- Design and run experiments, measure impact, and translate results into product decisions and customer outcomes
- Build and productionize agentic, generative-AI features — including reporting and insights agents, campaign-monitoring agents (with human-in-the-loop controls), and a semantic layer for reliable, natural-language analytics
- Improve automation, reliability, and scalability across model training, feature engineering, deployment, and monitoring frameworks
- Work closely with software and ML engineers to deliver end-to-end solutions from data ingestion through downstream systems
- Partner with senior stakeholders to shape ML and Gen-AI strategy for Ad Data Activation — identifying the right problems for AI, ensuring safety, and driving advertiser productivity.
We’re excited if you have
- 5+ years of experience applying ML or data science to real business problems at scale
- Master’s degree (or higher) and 4+ years of experience in CS, CE, ML, or a related field
- Strong CS fundamentals and ability to design efficient algorithms and production systems
- Experience with ML approaches used in large-scale data problems (e.g., regression, classification, tree-based methods, embeddings, sequence models, or basic NLP)
- Strong intuition for defining KPIs, objective functions, and evaluation frameworks for ML-driven systems
PREFERRED QUALIFICATIONS
- Knowledge of programming languages such as Python, Scala/Java, C/C++, or similar
- Experience working with large-scale data platforms (Spark, Presto/Trino, feature stores, data lakes, etc.)
- Experience building or integrating with LLM/Gen-AI pipelines (prompting, evaluation, retrieval, safety) is a plus
- Prior publications, patents, or open-source contributions are a plus
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the role
Our Search Platform sits at the heart of the Roku experience, powering voice, text, and visual discovery across 100M+ active accounts and every Roku-powered device worldwide.
We own the entire stack —from ingesting & enriching a multi-million-title knowledge graph, to low-latency retrieval services and large-scale machine-learning systems that personalize results in real time. Our work doesn’t just help users find shows; it drives core product surfaces (home-screen rows, browse hubs, Roku Voice, mobile app search) and fuels partner monetization. If you enjoy turning cutting-edge research into products used billions of times a day, you’ll thrive here.
Roku’s footprint has more than quadrupled in the past five years, and user expectations have leaped just as fast—think LLM-based query understanding, vector-DB retrieval, on-device models, and multimodal search (voice, text, image). We’re now rebuilding our relevance stack for the next decade, blending classic IR with generative-AI techniques. You will be a technical leader spearheading that transformation.
What you'll be doing
- Apply state of the art ML on search using techniques in deep learning, bandits, transformers, LLMs, causal inference, and optimizations to make our users more delighted and engaged on the platform
- Run online AB tests and analyze them against the critical business KPIs
- Collaborate with US engineering teams as well as cross-functional teams to translate business requirements into technical specifications
- Nurture our ML ecosystem to make it withstand scale, developer velocity and future business shifts
- Provide technical leadership to drive technical and ML roadmap for search ranking and monetization
- Help recruiting new engineers. Interview, train, and mentor new team members
We're excited if you have - 7+ years of experience (or PhD with 5 years of experience) applying Machine Learning to concrete problems at large-scale in domains like recommendation or search or ads
- Strong CS fundamentals. Should be able covert ideas to code with ease
- Good understanding of machine learning fundamentals like classification, deep neural nets, and sequence-based models. Familiarity with modern NLP stack and multi-modal representation learning is a plus
- We'd love to see that you've worked with big data systems (Spark, S3, and Airflow) and can program (Java, Scala, or Python)
- Good understanding of system architecture
- Experience in big data technologies and streaming architecture, data pipelines, etc.
- MS in Computer Science, Statistics, or related field, but a Ph.D. in CS or related fields is preferred
- AI literacy and curiosity.You have either tried Gen AI in your previous work or outside of work or are curious about Gen AI and have explored it.
#LI-AK1
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
In this role, you’d be joining Stripe’s growing US State & Local Tax team. Our tax team works with Stripes across the company to develop an efficient tax structure, and we are looking for a well-rounded and seasoned tax professional to help us lead this effort. This specific role will assist with a variety of US state sales tax compliance functions for Stripe and its many diverse offerings.
What you’ll do
We are seeking an experienced State & Local Tax Compliance Specialist to build, improve, and maintain Stripe’s US indirect tax reporting and compliance function. This includes helping form and implement compliance processes, supporting management, and working with our indirect tax systems & compliance leads on day to day matters, and much more. You will work for a rapidly growing Company in a fast paced environment, while collaborating with numerous functional teams across our organization. You will be an excellent communicator, with the ability to explain tax technical concepts and requirements in a simplified fashion to non-tax people.
The position will be based in Bangalore and report to the State & Local Tax Lead.
Responsibilities
- Ensure compliance with state and local sales tax rules, and other indirect tax obligations across the US.
- Manage US sales tax registrations across state and local tax authorities.
- Gather data for US sales tax audits and other indirect tax matters involving tax authorities.
- Collaborate with the international indirect tax planning team on the ongoing enhancement of the indirect tax compliance and control processes.
- Work with other tax team members and product & engineering teams to help define compliance requirements and collaborate on the design and implementation of US sales tax controls.
- Promote indirect tax awareness and knowledge including training and liaising with business and tax partners on changes to indirect tax legislation, systems, policies, and processes.
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements:
- 4-6 years of experience in US indirect tax compliance, with experience managing large-scale tax initiatives.
- Previous in-house experience within a multinational business and either legal or accountancy firm experience.
- An understanding of US state and local indirect tax laws and regulations.
- An understanding of tax liability shifting models, including MoR (reseller), marketplace facilitator, and deemed seller.
- Exceptional time-management and project-management skills.
- Excellent verbal and written communication skills. You should be able to adjust your communication style based on your audience (users, product teams, advisors, etc.).
- The ability to prioritize projects in a fast-changing environment.
- Previous experience in working with engineering teams in scoping and implementing tax compliance requirements.
Preferred qualifications:
- An advanced degree or professional qualification (CPA, JD or equivalent, Masters in Tax, or LLM or equivalent) in tax or law.
- Experience working in technology, payments, or financial services.
- Experience working in a high-growth, rapidly scaling environment.
- A willingness to work with a diverse crew of tax nerds who care deeply about Stripe’s tax issues and each other.
To apply please include the following:
- LinkedIn profile and resume
Ready to apply?
Apply to Stripe
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
The Support Experience engineering organization builds and improves Stripe’s user support from end to end: how users get help within our products, how they get in touch with us when they have questions, and how our teams use internal tools to answer those questions. We’re accountable for the quality and reliability of this support stack and we use data and firsthand experience to continuously improve it.
Providing great support to users of all sizes is culturally important to everyone at Stripe. We partner closely with Stripe’s design, product, and operational teams across a wide surface area: the external-facing support interfaces (https://support.stripe.com/), self-serve content, entry points, internal tooling, case routing, and helping product teams across the company reduce support volume by improving our products. We are also using the latest generative AI technologies to re-imagine support experiences, and are developing AI assistants for Stripe’s users and to help our operations teams be more productive.
What you’ll do
You’ll lead and grow an established, high-performing engineering team within the Support Experience organization. Your job is to start with what’s been built and make it better: grow the team, elevate the technical bar, and expand the team’s impact across Stripe.
In this role, your team will build support experiences for priority user segments, solving problems such as how platforms, enterprises, and consumer users get help from Stripe. This includes implementing new API endpoints for use across multiple products, data engineering to improve our support operations with real-time insights, or building AI-enabled product experiences designed for each segment’s unique needs. You’ll lead your team to use the best tools for each job, whether that means experimental machine learning applications or proven techniques for building scalable distributed systems.
Responsibilities
- Hire, lead, and manage a team of talented engineers, providing mentorship, guidance, and support to ensure their success.
- Collaborate with cross-functional stakeholders, including product managers and designers, to understand customer needs and translate them into technical solutions.
- Define the technical vision and roadmap for the suite of products managed by the team, aligning it with business objectives and industry best practices.
- Drive the execution of projects, overseeing the entire development lifecycle from planning to delivery, while maintaining high standards of quality and timely completion.
- Foster a collaborative and inclusive work environment, promoting innovation, knowledge sharing, and continuous improvement within the team.
- Stay up-to-date with emerging technologies, industry trends, and advancements in AI and customer experience practices to identify opportunities for improvement and innovation.
- Communicate effectively with stakeholders, providing regular updates on project status, progress, and any potential risks or challenges.
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- 3+ years of experience managing teams that build and operate full-stack web applications at scale, and 10+ years of overall industry experience
- A passion for supporting both external users and internal customers
- Successfully recruited and built great teams
- The ability to thrive with a high level of autonomy and responsibility
- The desire to encourage a healthy, inclusive work environment that’s both supportive and challenging
- Clear and persuasive writing and in-person communication
Preferred qualifications
- You have experience designing, deploying, and owning Agentic LLM solutions (e.g., multi-step orchestrators, tool use/function calling) specifically for complex customer support or internal workflow automation.
- You are comfortable planning in quarters, and can set a vision for several years
- You are excited about collaborating with teammates across Stripe’s organization to provide a wonderful support experience to users
- You are comfortable working with geographically distributed teams
- Experience managing multiple engineering teams
Ready to apply?
Apply to Stripe
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
We are experts in data, working to make it cost-effective, understandable, and trustworthy. We build pipelines processing billions of events a day and are stewards of canonical data warehouses and datasets delivering products for Stripe Users while embedding with teams to build their data products. We are experts in using the Stripe Data Platform and to scale we lead the data culture and data education to enable product teams to own their data. We invest in [AI] Data Ops to scale incident handling and serve as an escalation path for data incidents to minimize their impact. The Data Engineering Solutions team will work closely with product teams delivering trustworthy data / backend code / and innovative (AI) tools/platforms/services for data.
What you’ll do
We're looking for a person who could drive the Data Engineering Solutions Team in solving high-impact, cutting-edge data problems. The ideal candidate will be someone that has built data pipelines for large scale volume, is deeply knowledgeable of Data Engineering tools including Airflow/Spark/Kafka/Flink, is empathetic, excels at building strong relationships, and collaborates effectively with other Stripe teams to understand their use cases and unlock new capabilities.
You will:
- Lead the technical outcomes for a team of ambitious, talented engineers, providing mentorship, guidance, and support to ensure their success.
- Partner with our recruiting team to attract and hire top talent.
- Deliver cutting-edge data pipelines that scale to users' needs, focusing on reliability and efficiency.
- Develop strong subject matter expertise and manage the SLAs of data pipelines and full stack web applications that support critical stakeholders.
- Collaborate with product managers and peers across the company to create/improve canonical datasets and data warehouses, use golden paths, and ensure Stripes and customers are using trustworthy data.
- Leverage AI/LLM and Agents at scale to produce and analyze high-quality data on ambiguous problems
- Have an opportunity to work with Spark, Flink, Kafka, Trino, Pinot, Airflow, Scala, Java, SQL, and Python and many other big data technologies.
- Have the opportunity to drive the execution of key data initiatives for Stripe, overseeing the entire development lifecycle from planning to delivery while maintaining high standards of quality and timely completion.
- Foster a collaborative and inclusive work environment, promoting innovation, knowledge sharing, and continuous improvement within the team.
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
We’re looking for someone who has:
- 10+ Years of engineering experience with 5+ Years of hands-on experience building+operating data systems/pipelines, datasets/data warehouses, infrastructure, and leading small teams to deliver exceptional solutions.
- A strong engineering background and passion for data.
- Prior experience with writing and debugging data pipelines using a distributed data framework (Spark / Hadoop / Trino / etc)
- An inquisitive nature in diving into data inconsistencies to pinpoint issues, and resolve deep rooted data quality issues
- Knowledge of a backend development language (such as Scala, Java, or Go) and strong SQL experience
- Extreme customer focus, with a commitment to partnering with Product Managers, leaders, and other Stripe engineers to understand their use cases.
- Effective cross-functional collaboration, with the ability to think rigorously, communicate clearly, and make or coordinate difficult decisions and trade-offs.
- Thrive with high autonomy and responsibility in an ambiguous environment.
- Ability to foster and work in a healthy, inclusive, challenging, and supportive work environment.
Preferred qualifications
- Expertise in Iceberg, Kafka, Change Data Capture, Flink, Spark, Airflow, Hive Metastore, Pinot, Trino, AWS Cloud, and influencing open-source contributions is a plus.
- Experience creating and maintaining Data Marts / Data Warehouses to power business reporting needs
- Experience working with Product or Go-To-Market (GTM - Sales/Marketing) teams
- Genuine enjoyment of innovation and a deep interest in understanding how things work, with the ability to question and direct architectural decisions.
- Strong written and verbal communication skills for various audiences, including leadership, users, and company-wide.
Ready to apply?
Apply to Stripe
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team:
As we expand our product offering as well as our footprint internationally, our transfer pricing policies and documentation will be increasingly subject to scrutiny by governmental authorities. We are seeking an experienced Transfer Pricing Specialist to ensure Stripe is compliant with the ever-changing regulations that govern transfer pricing and to bring subject matter expertise to audit defense and resolution.
What you’ll do:
The Transfer Pricing Specialist will be a hands-on team member, who works collaboratively across the organization to develop and execute compliant and practical transfer pricing policies and processes. This individual will be an excellent communicator, with the ability to explain transfer pricing concepts in a simplified fashion to non-tax people. The ideal candidate will have experience in a high-growth technology or financial services company partnering with various functional teams and other members of the tax department.
Responsibilities:
- Partner with teams within and outside of Finance to develop, execute, and maintain transfer pricing policies for Stripe’s current and future operating structure and product offerings with a strong moral compass and integrity.
- Dive deep into financial information in order to design, prepare, and review detailed transfer pricing calculations.
- Assist in the preparation of legal entity forecasts and support the tax provision process.
- Navigate the transfer pricing impacts of special projects related to restructurings, acquisitions, and corporate initiatives.
- Ensure operating models are fit-for-purpose in the context of evolving global tax frameworks and transfer pricing regulations.
- Build relationships with technology and business leaders to gain a deep understanding of their organizational structure and activities and flex transfer pricing policies in response to changes therein;
- Assist finance and tax teams in government and regulatory audits.
- Support Stripe’s participation in tax audits, advanced pricing agreements, and competent authority proceedings.
- Prepare and maintain the company’s suite of transfer pricing documentation and compliance in accordance with OECD guidelines and local requirements, ensuring efficiency and quality across a subset of assigned jurisdictions.
- Build, and/or streamline, transfer pricing models for clarity, efficiency, and ease of use.
Who you are:
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum Requirements:
- Bachelor’s or Master’s Degree (or above) in accounting, economics, business, law, or other related fields.
- 8 + years of relevant experience
- Robust knowledge of global transfer pricing laws and regulations.
- Experience with international tax planning for a multinational.
- Experience managing transfer pricing documentation and compliance.
- Practical experience with various transfer pricing dispute resolution tracks, including audits and advanced pricing agreement / competent authority negotiations.
- Experience with developing, maintaining, and implementing intercompany agreements.
- Knowledge of financial accounting concepts including accounting for intercompany transactions.
- Excellent written, verbal communication and presentation skills coupled with strong interpersonal and team-building capabilities across different functional areas and cultures.
- Enjoys working with, and digging into, data from multiple sources.
- Professional experience in Excel, Oracle, Smartview.
- Curiosity, empathy, and humility.
Preferred qualifications:
- An advanced degree or professional qualification in tax, accounting, economics or law (CPA, JD, LLM).
- Experience working in a high-growth, rapidly scaling environment.
- Industry experience at a multinational organization; experience working in technology, payments, or financial services is a plus.
- Professional experience in Alteryx and/or robotic process automation software.
Ready to apply?
Apply to Stripe
Senior Machine Learning Engineer
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HackerRank helps companies like NVIDIA, Amazon, and Microsoft hire and upskill the next generation of developers based on skills, not pedigree. Our platform is trusted by over 2,500 of the world’s most innovative companies to build strong engineering teams ready for what’s next.
Software has entered an era where humans and AI build side by side. As this shift accelerates, the definition of strong technical talent is changing. We give companies better ways to identify and invest in next-generation skills.
People at HackerRank care deeply about the impact of their work and sweat the small details so our customers can be wildly successful with products they genuinely love to use. We move with urgency and believe great outcomes come from high standards
About the role
Hiring is one of the most consequential decisions a company makes. 3,000+ enterprises rely on HackerRank to get it right. We are now reinventing how that works for the agentic era. The ML systems that power this platform are not auxiliary features. They are the product.
Open Problems
The agentic era is reshaping every layer of the hiring stack. These are some of the core problems you'll be working across, none of them fully solved.
- Chakra: Building an autonomous AI interviewer that conducts, adapts to, and evaluates technical interviews end to end.
- Integrity: Detecting fraud and suspicious behavior across multiple signal types. The ways candidates game assessments change frequently, and the models need to keep up.
- Evaluation: Measuring technical skill in a world where AI writes the code. The old proxies no longer hold and the new ones have not been defined yet.
Your focus will shift across these depending on where the highest-leverage work is at any given time.
What you will do
- Design and ship production ML systems across Chakra, integrity, and evaluation domains.
- Own the full ML lifecycle: problem framing, data strategy, experimentation, deployment, and iteration.
- Build evaluation infrastructure and benchmarking pipelines that reliably measure model quality before and after deployment.
- Define the architecture and production bar for different signal categories from scratch.
- Mentor and support junior ML engineers, helping shape their technical thinking and raise the quality bar across the team.
- Establish ML best practices for the team: monitoring, model feedback loops, and quality standards.
Who you are
- 4+ years building and shipping ML systems that run in production at scale.
- Systems thinking comes naturally. Model accuracy, data pipelines, serving infrastructure, and customer outcomes are one problem, not four.
- Evaluation methodology matters as much as model performance. A metric measured wrong is worse than no metric.
- Proficient in Python, with practical experience building data pipelines and deploying models to production.
Even better if you have
- Experience with multimodal systems: vision, NLP, audio, or behavioral signal pipelines.
- LLM experience: fine-tuning, RLHF, or multi-turn agentic systems.
- Background in adversarial ML, fraud detection, or anomaly detection.
- Publications or open-source contributions in detection, robustness, or evaluation methodology.
You will thrive here if
- Messy, undefined problems are more interesting to you than optimizing within clean ones.
- Ambiguity energizes you, especially when the right framing is itself part of the work.
- Direct access to leadership, fast feedback loops, and genuinely unsolved problems is what you are looking for.
- Defining what a system should be is more compelling than maintaining what already exists.
Want to learn more about HackerRank? Check out HackerRank.com to explore our products, solutions and resources, and dive into our story and mission here.
HackerRank is a proud equal employment opportunity and affirmative action employer. We provide equal opportunity to everyone for employment based on individual performance and qualification. We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
Linkedin | X | Blog | Instagram | Life@HackerRank
Notice to prospective HackerRank job applicants:
- Our Recruiters use @hackerrank.com email addresses.
- We never ask for payment or credit check information to apply, interview, or work here.
Ready to apply?
Apply to HackerRank Careers
Head of Machine Learning
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At Prodigal, we are building AI Agents for loan servicing and collections. Founded in 2018 by IITB alumni, our journey began with one bold mission: to eradicate the inefficiencies and confusion that have plagued the lending and collections industry for decades. We are backed by Y Combinator, Accel and Menlo Ventures.
Today, we stand at the forefront of a seismic shift in the industry, building Agentic AI applications for consumer finance. Powered by our cutting-edge platform, Prodigal’s Intelligence Engine (PIE), we’re creating the next-generation agentic workforce - one that empowers companies to achieve unprecedented levels of operational excellence and intelligence.
With over half a billion consumer finance interactions processed and a growing impact on more than 100 leading companies across North America, we’ve established ourselves as the go-to partner for organizations that demand more from their AI solutions. Our unparalleled experience, coupled with our trusted customer relationships, uniquely positions us to build Agentic AI applications that will revolutionize the future of consumer finance.
At Prodigal, we are driven by a singular, unrelenting purpose: to transform how consumer finance companies engage with their customers and, in turn, drive successful outcomes for all.
We're seeking a Head of Machine Learning to own and scale the ML function at Prodigal. This is the senior-most ML role in the company — partnering directly with the CTO as a peer technical leader, defining the multi-year ML vision, building and leading a world-class team, and translating cutting-edge research into production systems that move the needle for over 100 customers and millions of consumers. You'll set the bar for technical excellence, hire and develop the next generation of ML leaders, and shape what consumer finance intelligence looks like over the next decade. If you've operated at this level before — or are ready to step into it at a company where ML is the engine of the product — we want to talk.
Responsibilities:
- Own the ML function end-to-end — vision, roadmap, team, delivery, and measurable business impact across classical ML, NLP, GenAI, and Agentic AI
- Partner with the CTO as the senior ML leader to set company-wide technical direction and shape the long-term roadmap for Prodigal's Intelligence Engine
- Build and lead a high-performing ML organization — hire, mentor, and develop ML engineers, applied scientists, and tech leads across multiple pods
- Translate research into product — drive the application of LLMs, Agentic AI, the modern NLP stack, recommendation systems, and classical ML into production systems serving 100+ customers
- Set technical standards for model development, deployment, monitoring, evaluation, and experimentation that scale across the org
- Architect data and ML infrastructure in partnership with the platform and engineering teams to support large-scale training and reliable, low-latency inference
- Communicate strategy and outcomes clearly to the founders, board, customers, and broader engineering organization
- Represent Prodigal externally — at conferences, in research collaborations, and as a senior voice in the consumer finance AI community
- Stay at the frontier of ML and GenAI research, identifying where new techniques unlock product and business advantage
- Collaborate cross-functionally with product, engineering, GTM, and customer success leaders to ensure ML investment ties directly to revenue, retention, and customer outcomes
Requirements:
- 10+ years of experience in machine learning and software development at a tech or product company, with 4+ years leading ML teams (managing engineers and/or tech leads)
- Proven track record of shipping ML products in production at scale with measurable business impact
- Deep technical fluency across classical ML, deep learning, and the modern NLP/LLM stack — you can still go deep in design reviews, not just review at the surface
- Strong coding skills in Python. Hands-on with PyTorch, scikit-learn, Pandas, and Spark
- Demonstrated success hiring, mentoring, and growing ML talent — including team leads and senior engineers
- Strong executive communication and the ability to set technical direction with founders, peers, and the board
- A bias for outcomes — you connect model work to revenue, engagement, and operational metrics
Preferred Qualifications:
- Experience as a founding ML hire, ML lead, or applied science leader at a high-growth AI/ML product company
- Background in voice AI, conversational AI, speech, NLP on unstructured text, or fintech/lending domains
- Experience with cloud services (AWS), Databricks, and building scalable, distributed systems
- Track record of running A/B testing and experimentation programs at scale
- Patents, publications, or open-source contributions; strong institutional pedigree (IIT, BITS, NIT, IISc)
- Experience scaling an ML org through a hypergrowth phase
Job Benefits
- GenAI at the core – Lead the ML function at a company where AI isn't a feature, it's the product. Shape groundbreaking work that redefines consumer finance intelligence.
- World-class team - You'll get the chance to learn from (and teach) some of the brightest and most skilled people you'll ever meet. Our team members have been part of BCG, Deloitte, EY, Blackstone, Meta, Amazon and are IIT, IIM, BITS alumnus.
- Continuous education - As relentless seekers of knowledge, we sponsor and support any training materials, books, courses, and exam fees for upskilling yourself in areas related to your role - but that's not where it ends. If you make a good case for some extra learning, we're delighted to foot the tab.
- Food at the office – Meals are on us. We won't let your stomach grumble while you hustle.
- Health insurance - Health always comes first. The health of your family is as important to us as it is to you. We offer insurance coverage for both you and your family.
- Flexible schedule - We're not a "clock in, clock out" company. Morning person? Start work while the world's still sleeping. Night owl? Ramp things up while others are winding down. You're fully trusted to create the right conditions for your own personal peak productivity. We only ask that you be available to your teammates for seamless collaboration.
- Generous leave policy - Take all the time you need to recharge your batteries - no cap on vacation here. Because a rested, relaxed, and refreshed mind is a happy and effective mind.
- Recreation & team activities – We regularly indulge in friendly football, table tennis, cooking sessions, and challenge each other to do those extra push-ups or chug that 4th drink (of course, that's Nimbu Pani).
Meet Sangram (Cofounder and CTO) and hear his vision for Prodigal: https://www.youtube.com/embed/FTWlN9fwiIA?feature=shared
From day 1, Prodigal has been defined by talented, humble, and hungry leaders and we want this mindset and culture to continue to blossom from top to bottom in the company. If you have an entrepreneurial spirit and want to work in a fast-paced, intellectually-stimulating environment where you will be pushed to grow, then please reach out because we are looking to build a transformational company that reinvents one of the biggest industries in the US.
To learn more about us - please visit the following:
Our Story - https://www.prodigaltech.com/our-story
What shapes our thinking - https://link.prodigaltech.com/our-thesis
Ready to apply?
Apply to Prodigal
Sr AI/ML Engineer
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As a Senior AI/ML Engineer in our AdTech team, you will be a hands-on individual contributor building and deploying machine learning models and AI-driven features for our advertising platform. You will partner with engineering, product, and data science to deliver production-grade ML for campaign optimization, user personalization, and creative intelligence—operating at large scale and low latency across billions of ad events per day. You will contribute to modern ML/LLM capabilities and agentic workflows that automate and enhance campaign operations, with a strong focus on reliability, performance, and measurable business impact.
Key Responsibilities
- Machine Learning Delivery: Design, implement, and ship scalable ML solutions for core AdTech use cases (targeting, ranking, pacing, measurement). Own features end-to-end from experimentation to production rollout.
- ML System Design: Build and evolve the ML lifecycle—data preparation, training, evaluation, and real-time inference—ensuring models integrate cleanly with ad serving systems and meet low-latency, high-throughput requirements.
- Technical Contribution: Contribute to the AI/ML technical roadmap by evaluating tools and techniques (including deep learning, LLMs, and retrieval/feature systems). Make pragmatic trade-offs with an eye toward maintainability and operational excellence.
- AI & Agentic Applications: Develop and integrate LLM-powered features and agentic workflows that assist with campaign workflows such as audience insights, bid/budget recommendations, and creative generation—within well-defined guardrails.
- Cross-Functional Collaboration: Work closely with engineering, product, and data science partners to translate marketing objectives into ML-driven solutions, define success metrics, and deliver iterative improvements.
- Performance & Reliability: Operate ML services in a high-concurrency, latency-sensitive environment. Optimize inference paths, implement monitoring/alerting, manage model drift, and ensure safe deployment practices (A/B testing, canaries, rollbacks).
- Mentorship & Best Practices: Mentor and support other engineers through code/model reviews and knowledge sharing. Champion engineering rigor in testing, observability, documentation, and reproducible ML workflows.
Required Qualifications
- 5+ years of experience in software engineering and/or applied machine learning, with a track record of shipping ML systems to production.
- Experience designing and building high-throughput, low-latency services or data pipelines for large-scale applications.
- Working knowledge of the programmatic advertising ecosystem (DSP/SSP/RTB) is a plus; strong adjacent experience (recommendation, ranking, marketplaces) is also valued.
- Proficiency in at least one of Java, Go, or Python for backend services and ML tooling.
- Hands-on experience with ML frameworks (PyTorch or TensorFlow) and common modeling approaches (classification, ranking, embeddings, deep learning).
- Experience with big data and streaming frameworks (e.g., Spark, Kafka) for processing and analyzing large datasets.
- Experience deploying ML to cloud environments (preferably AWS) and operating services at scale.
- Familiarity with data stores (SQL/NoSQL) such as PostgreSQL/MySQL, Cassandra/DynamoDB, Redis, etc.
- Familiarity with containerization/orchestration (Docker, Kubernetes) and CI/CD practices.
- Strong communication skills and ability to collaborate across disciplines; comfort explaining technical concepts to both technical and non-technical stakeholders.
Preferred Qualifications
- Experience with Large Language Models (LLMs) and generative AI applied to advertising (e.g., ad copy generation, creative optimization, or personalized messaging).
- Experience designing and implementing agentic workflows that support autonomous or semi-autonomous decision-making with strong safety/observability guardrails.
- Experience with model serving and optimization for real-time inference (latency-critical environments).
- Familiarity with modern data lake and table formats (e.g., Apache Iceberg, Apache Hudi) for managing large-scale analytical datasets.
- Knowledge of microservices architecture and event-driven design patterns in distributed systems.
- Contributions to open-source projects, publications, or speaking engagements that demonstrate thought leadership in AI/ML are a plus.
WHO WE ARE
Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.
PEOPLE & CULTURE AT ZETA
Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.
We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/
ZETA IN THE NEWS!
Ready to apply?
Apply to Zeta GlobalSecure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
Okta seeks a skilled Staff Full Stack Engineer with expertise in NetSuite and/or Oracle Fusion Cloud Applications. As part of our Business Technology team, you will be responsible for developing and optimizing full-stack solutions, including custom scripts, workflows, integrations, and system enhancements for both NetSuite and Oracle Fusion to improve business processes and scalability. This role will report to the Manager in Bangalore, India. We’d love to hear from you!
Job Duties and Responsibilities
- Design, develop, and maintain full-stack solutions for Finance Tech stack like NetSuite, Coupa and Oracle Fusion Cloud Applications etc., using any of the full-stack applications like Node Js/React
- Develop and maintain robust off-platform integration scripts using Python & LangChain to manage data transfer and interactions between NetSuite (via SuiteTalk or RESTlets) and AI Platforms
- Architect and implement scalable, secure, and cost-efficient cloud-native solutions on AWS for RAG, MCP, and Agentic AI (LangGraph)
- Closely work with the BT Product Manager to design, develop, test, implement & support system solutions primarily in Finance Technology
- Provide technical consultation, best practices, and problem resolution for AI and Agentic AI for the Finance tech stack NetSuite, Oracle Fusion, and associated integrated systems
- Support & resolve production issues across the full application stack
- Develop and maintain integrations with third-party applications via REST/SOAP APIs
- Design and implement custom Generative AI solutions using the SuiteScript Generative AI API for practical NetSuite use cases and explore similar capabilities in Oracle Fusion
Required Skills:
- 9+ years in Python and its libraries (e.g., Pandas, Boto3) for data manipulation, ETL processes, and developing serverless functions to interact with foundational AI services on platforms like AWS Bedrock.
- Deep hands-on experience with AWS solutioning, including designing and deploying production applications using core services such as AWS EC2, AWS Lambda, Amazon S3, Amazon RDS, and API Gateway. Familiarity with Infrastructure as Code (IaC) tools like CloudFormation or Terraform is essential.
- Proficiency in NetSuite development experience (SuiteScript, SuiteFlow, SuiteTalk).
- Experience with SuiteCloud tools, REST/SOAP APIs, and third-party integrations.
- Experience with the SuiteScript Generative AI APIs to integrate LLM capabilities for advanced scripting solutions
- Strong understanding of Finance Business processes (Order Management, Billing, Vendor bill, etc.).
- Proficiency in JavaScript, SQL, and related web technologies
- Configure NetSuite modules to align with business needs, including leveraging Prompt Studio to customize and manage NetSuite AI functions like Text Enhance.
- Ability to drive and architect solutions with other developers, focusing on maximizing the value of embedded NetSuite AI capabilities
- Working Experience on the MCP and familiar with SaaS MCP connectors, like NetSuite MCP or similar
- Working experience with foundational AI services, with a desire to use a unified platform like AWS Bedrock for Generative AI development and deployment
- Nice to have some core Amazon Machine Learning (ML) services, specifically AWS SageMaker (for building, training, and deploying custom ML models), AWS Comprehend (for natural language processing and text analytics), and Retrieval Augmented Generation (RAG)
Education and Certifications
- A Bachelor’s degree in Computer Science, Information Systems, or equivalent years of industry experience
- AWS cloud Certification or any ERP foundation certificate is a plus
#P16568_3435773
#LI_Hybrid
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
Ready to apply?
Apply to Okta
Staff Software Engineer - AI Traffic & Inference Infrastructure
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Please complete the attached Internal Transfer Request Form and submit.
Please make sure to apply with your Coupang e-mail address.
Company Introduction
We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.
We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.
Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.
Role Overview
As a Staff Engineer on our Coupang intelligent Cloud Infrastructure team, you will design and scale the intelligent nervous system of our CIC Cloud AI platform. You won't just be moving packets; you’ll be building the orchestration and routing layers that ensure our LLMs and foundation models are highly available, low-latency, and cost-efficient. You will own the end-to-end lifecycle of traffic management from global load balancing to hardware-aware request routing across thousands of accelerators.
What You Will Do
-
Intelligent Routing: Design and implement sophisticated load-balancing algorithms tailored for AI workloads (training, inference), optimizing request distribution based on model availability, and accelerator health.
-
Inference Orchestration: Architect and evolve our inference infrastructure to support seamless model deployment, auto-scaling, and multi-AZ failover.
-
Performance Engineering: Drive initiatives to minimize tail latency (P95 /P99) and maximize throughput using advanced batching, caching, and streaming token delivery techniques.
-
Fleet Automation: Build robust infrastructure-as-code and CI/CD pipelines to manage dynamic compute fleets, ensuring they automatically scale to meet production and research demands.
-
Observability & Optimization: Leverage deep telemetry data to tune system performance and hardware-agnostic scheduling across diverse GPU/TPU environments.
-
Technical Leadership: Lead cross-functional initiatives across infrastructure and SW team, ML teams, providing mentorship and setting up the long-term technical roadmap for traffic management.
Basic Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
-
Experience: 8–12 years of progressive software engineering experience, with a heavy emphasis on distributed systems, cloud-native architectures, or platform operations.
-
Programming: Strong proficiency in Go or Python, with a deep understanding of networked systems and performance optimization.
-
Orchestration: Expert-level knowledge of Kubernetes internals (scheduling, controllers) and containerization ecosystems.
-
Traffic Management: Proven experience with load balancing, service mesh, and request routing at scale.
-
Operational Excellence: A strong "ownership" mindset with a track record of maintaining mission-critical, high-availability systems in production.
Preferred Qualifications
-
AI/ML Domain Knowledge: Prior experience building infrastructure specifically for LLM inference or large-scale training clusters.
-
Low-Level Optimization: Familiarity with inference, including mixed precision, kernel tuning, or custom hardware accelerators.
-
Public/Private Cloud: Experience managing hybrid-cloud or multi-AZ deployments across AWS, Azure, or GCP.
-
Compliance: Experience operating in regulated environments with strict security and compliance requirements.
Type of work model
- Hybrid
Details to consider
- Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.
Privacy Notice
- Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://privacy.coupang.com/en/land/jobs/
Ready to apply?
Apply to Coupang Internal
Staff Software Engineer - AI Traffic & Inference Infrastructure
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Company Introduction
We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.
We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.
Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.
Role Overview
As a Staff Engineer on our Coupang intelligent Cloud Infrastructure team, you will design and scale the intelligent nervous system of our CIC Cloud AI platform. You won't just be moving packets; you’ll be building the orchestration and routing layers that ensure our LLMs and foundation models are highly available, low-latency, and cost-efficient. You will own the end-to-end lifecycle of traffic management from global load balancing to hardware-aware request routing across thousands of accelerators.
What You Will Do
-
Intelligent Routing: Design and implement sophisticated load-balancing algorithms tailored for AI workloads (training, inference), optimizing request distribution based on model availability, and accelerator health.
-
Inference Orchestration: Architect and evolve our inference infrastructure to support seamless model deployment, auto-scaling, and multi-AZ failover.
-
Performance Engineering: Drive initiatives to minimize tail latency (P95 /P99) and maximize throughput using advanced batching, caching, and streaming token delivery techniques.
-
Fleet Automation: Build robust infrastructure-as-code and CI/CD pipelines to manage dynamic compute fleets, ensuring they automatically scale to meet production and research demands.
-
Observability & Optimization: Leverage deep telemetry data to tune system performance and hardware-agnostic scheduling across diverse GPU/TPU environments.
-
Technical Leadership: Lead cross-functional initiatives across infrastructure and SW team, ML teams, providing mentorship and setting up the long-term technical roadmap for traffic management.
Basic Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
-
Experience: 8–12 years of progressive software engineering experience, with a heavy emphasis on distributed systems, cloud-native architectures, or platform operations.
-
Programming: Strong proficiency in Go or Python, with a deep understanding of networked systems and performance optimization.
-
Orchestration: Expert-level knowledge of Kubernetes internals (scheduling, controllers) and containerization ecosystems.
-
Traffic Management: Proven experience with load balancing, service mesh, and request routing at scale.
-
Operational Excellence: A strong "ownership" mindset with a track record of maintaining mission-critical, high-availability systems in production.
Preferred Qualifications
-
AI/ML Domain Knowledge: Prior experience building infrastructure specifically for LLM inference or large-scale training clusters.
-
Low-Level Optimization: Familiarity with inference, including mixed precision, kernel tuning, or custom hardware accelerators.
-
Public/Private Cloud: Experience managing hybrid-cloud or multi-AZ deployments across AWS, Azure, or GCP.
-
Compliance: Experience operating in regulated environments with strict security and compliance requirements.
Type of work model
- Hybrid
Details to consider
- Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.
Privacy Notice
- Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://privacy.coupang.com/en/land/jobs/
Ready to apply?
Apply to Coupang
A Career with Point72's Technology Team
As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity.
What you'll do
- Lead the design, development, and operation of scalable, enterprise-grade AI/ML architectures and systems with a strong emphasis on reliability, availability, and performance.
- Lead and mentor a team of engineers, driving technical direction, code quality, and iterative delivery of large-scale solutions.
- Partner closely with data scientists, engineers, product teams, and compliance to integrate AI/ML solutions into existing and new products.
- Own the end-to-end lifecycle of GenAI services, including LLM inference, model serving, and proxy/gateway layers that support multiple downstream applications.
- Define and uphold engineering best practices around observability, scalability, security, and cost efficiency for AI/ML platforms.
- Evaluate tools, technologies, and processes to ensure the highest quality and performance of AI/ML systems.
- Stay abreast of the latest advancements in AI/ML technologies and methodologies, and translate them into pragmatic solutions for the business.
- Ensure compliance with industry standards and best practices in AI/ML.
What's required
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 10+ years of experience in software/AI/ML engineering, with a proven track record of successful delivery of complex, production-grade systems.
- Demonstrated experience building large-scale enterprise-grade services with high reliability, availability, and observability (SLO/SLA-driven environments).
- Experience leading other engineers in delivering large-scale solutions iteratively, including setting technical vision, reviewing designs, and growing team capabilities.
- Proficiency in programming languages such as Python, Java, or C++.
- Strong understanding of distributed systems, cloud platforms (AWS/Azure/GCP), containerization (Docker/Kubernetes), and modern CI/CD practices.
- Excellent problem-solving skills and the ability to work independently and collaboratively.
- Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders and influence across teams.
- Commitment to highest ethical standards.
About Point72
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit www.Point72.com/about.
Ready to apply?
Apply to Point72
Machine Learning Engineer, Chakra
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HackerRank helps companies like NVIDIA, Amazon, and Microsoft hire and upskill the next generation of developers based on skills, not pedigree. Our platform is trusted by over 2,500 of the world’s most innovative companies to build strong engineering teams ready for what’s next.
Software has entered an era where humans and AI build side by side. As this shift accelerates, the definition of strong technical talent is changing. We give companies better ways to identify and invest in next-generation skills.
People at HackerRank care deeply about the impact of their work and sweat the small details so our customers can be wildly successful with products they genuinely love to use. We move with urgency and believe great outcomes come from high standards
About the role
The developer's job is shifting from writing code to directing AI agents, and hiring needs to catch up. HackerRank has shaped how 3000+ companies identify engineering talent, with 30M+ developers assessed on our platform. Chakra is our bet on what the next generation of that looks like: an AI interviewer built for a world where the interview itself has to be as intelligent as the candidates it is evaluating.
Open Problem
An interview that thinks, listens and gets it right every time.
Running an interview is easy. Running a good one is hard.
Chakra is an AI interviewer. It holds a conversation with a candidate, asks follow-up questions, evaluates how they think, and produces a report a hiring manager can actually act on. It is to conduct interviews that are more consistent, more probing, and more fair than most human interviewers manage in practice.
Here is the problem. A great human interviewer can do this. They read the candidate. They push on the right things. They know when an answer is shallow and when it just sounds shallow. Getting a model to do that reliably is genuinely difficult. Not because the technology cannot hold a conversation. It can. The gap is in judgment. Knowing what to probe. Knowing what the answer actually reveals about the candidate. Knowing when to move on.
Now do that 200,000 times. With candidates who speak differently, think differently, and approach problems differently. Without the model drifting. Without it being gamed. Without every report reading like it was written by the same template.
That is where the field currently falls short. Closing that gap is the work.
What you'll do
- Architect and develop Chakra end to end: the agent design, conversation management, real-time response evaluation, scoring methodology, and report generation.
- Build the systems that ensure interview consistency at scale. Not just model capability, but the infrastructure that makes the 200,000th interview as coherent as the first.
- Design evaluation and benchmarking pipelines that measure interview quality, candidate experience consistency, and report defensibility.
- Build fine-tuning and RLHF workflows to push model judgment past what off-the-shelf models deliver for this specific task.
- Own the quality bar. Define what a good interview looks like, instrument how well the system meets that bar, and close the gap systematically.
- Work across the full stack: data pipelines, model serving, latency constraints, and the product experience the candidate actually encounters.
Who you are
- You have built and shipped agentic or conversational AI systems in production, not just prototypes.
- You have a strong intuition for where LLM behavior breaks down under real-world conditions and how to address it systematically.
- You think in systems. The conversation architecture, the evaluation model, the serving infrastructure, and the candidate experience are one problem to you.
- You care about the quality bar at the level of a user who depends on the output, not just a researcher measuring aggregate metrics.
Even better if you have
- Experience building multi-turn conversational agents or interview-style AI systems.
- Worked with RLHF, Constitutional AI, or preference-based fine-tuning methods.
- Background in dialogue systems, conversational evaluation, or rubric-based scoring.
- Publications or contributions in agentic AI, LLM reliability, or evaluation of generative systems.
You will thrive in this role if
- You are energized by the full scope of a hard product problem, from model architecture through the conversation a candidate actually has.
- You hold the product bar as high as the technical bar. You want to build something that works extraordinarily well for every single person who uses it.
Want to learn more about HackerRank? Check out HackerRank.com to explore our products, solutions and resources, and dive into our story and mission here.
HackerRank is a proud equal employment opportunity and affirmative action employer. We provide equal opportunity to everyone for employment based on individual performance and qualification. We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
Linkedin | X | Blog | Instagram | Life@HackerRank
Notice to prospective HackerRank job applicants:
- Our Recruiters use @hackerrank.com email addresses.
- We never ask for payment or credit check information to apply, interview, or work here.
Ready to apply?
Apply to HackerRank CareersMachine Learning Engineer, Evaluation
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HackerRank helps companies like NVIDIA, Amazon, and Microsoft hire and upskill the next generation of developers based on skills, not pedigree. Our platform is trusted by over 2,500 of the world’s most innovative companies to build strong engineering teams ready for what’s next.
Software has entered an era where humans and AI build side by side. As this shift accelerates, the definition of strong technical talent is changing. We give companies better ways to identify and invest in next-generation skills.
People at HackerRank care deeply about the impact of their work and sweat the small details so our customers can be wildly successful with products they genuinely love to use. We move with urgency and believe great outcomes come from high standards
About the role
How developers were evaluated previously was whether they can write functionally correct code. How developers are being evaluated now is whether they can orchestrate AI to accomplish the task while still having the fundamentals underneath. That shift, between what used to matter and what matters now, is exactly the problem this role is hired to solve.
Open Problem
How do you measure skill when AI is already in the room?
Software engineering has moved from writing code to using AI to solve problems. That shift sounds simple. The implications for assessment are not. This is not just a take-home assignment problem. It spans live interviews, async assessments, AI-assisted coding environments, pair programming with agents, and every other context in which someone is trying to figure out how good a developer actually is. The tools developers use are changing fast. The frameworks we use to evaluate them have not kept up.
For over a decade, skills-based hiring relied on deterministic evaluation: a candidate's code either passed test cases or it did not. The score was binary and reproducible. What replaces it is genuinely unsolved. Nobody has cracked how to fairly assess human skill in a world where AI assistance is ambient and invisible, where the question is no longer "can you write this function" but "how effectively do you use AI to solve a real problem."
We are moving from a deterministic evaluation to evaluation by a council of LLMs. But making that consistent, scalable, and defensible across hundreds of thousands of assessments is a hard research and engineering problem. How do you ensure the same rubric is applied the same way to the 200,000th candidate as to the first? How do you detect when your evaluation model is drifting? How do you explain a score to a candidate who believes they were assessed unfairly?
HackerRank sits at the center of this problem with a rare combination of scale, longitudinal data, and direct relationships with the companies making hiring decisions. The opportunity here is to define what rigorous, fair, and meaningful skill evaluation looks like in the agentic era. That methodology does not exist yet. This role exists to build it.
What you will do
- Build LLM-powered evaluation pipelines that assess AI usage skills consistently, fairly, and at production scale.
- Own the evaluation methodology end to end- what the rubric is, how the model applies it, how you measure whether it is being applied correctly, and how you audit for bias.
- Design and run experiments to determine what good evaluation actually looks like. The answer is not known. You will be finding it.
- Build RAG pipelines and fine-tuning workflows that make evaluation models adhere reliably to the rules we set for them.
- Define the benchmarking infrastructure: how we know when our evaluation quality has improved, and how we catch regressions before candidates do.
- Translate model behavior into outcomes that product managers, enterprise customers, and candidates can understand and trust.
Who you are
- You have shipped LLM-powered systems in production where consistency and reliability were hard constraints, not nice-to-haves.
- You think as rigorously about how you measure your model as about the model itself. A poorly constructed eval is a worse outcome than a weaker model.
- You have a research mindset. You are comfortable operating in a space where the right methodology does not exist yet and needs to be invented.
- You think in systems. The data pipeline, the model, the serving layer, and the rubric it enforces are one problem to you.
- You can defend ML judgment in plain language to people who are not ML engineers, because the translation layer is part of the job.
Even better if you have
- Experience building evaluation frameworks for generative or conversational AI systems.
- Background in educational assessment, psychometrics, or human-in-the-loop evaluation at scale.
- Publications or open-source contributions in LLM evaluation, benchmarking, or alignment.
- Prior work at the interface of research and product, where you had to ship science, not just publish it.
You will thrive here if
- You find the measurement problem as interesting as the model problem, maybe more interesting.
- You hold evaluation methodology to the same standard as model performance, and you are uncomfortable shipping something you cannot explain.
- You want your work to define what good looks like in a field that is just now figuring that out.
Want to learn more about HackerRank? Check out HackerRank.com to explore our products, solutions and resources, and dive into our story and mission here.
HackerRank is a proud equal employment opportunity and affirmative action employer. We provide equal opportunity to everyone for employment based on individual performance and qualification. We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
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Notice to prospective HackerRank job applicants:
- Our Recruiters use @hackerrank.com email addresses.
- We never ask for payment or credit check information to apply, interview, or work here.
Ready to apply?
Apply to HackerRank CareersHeadquartered in Los Altos, CA. Backed by SAIGroup.
Learn more about JazzX AI:
Website: https://jazzx.ai
LinkedIn: https://www.linkedin.com/company/jazzx-ai
Learn more about SAIGroup:
Website: https://saigroup.ai
Role Overview
At JazzX, we are building a modern cloud-native platform ecosystem focused on scalability, reliability, automation, security, and developer self-service. Our platform leverages Microsoft Azure, Cloudflare, AI/LLM-driven operations, and Agentic workflows to automate infrastructure management, deployment operations, incident response, platform intelligence, and customer instance lifecycle management.
We are looking for a highly experienced Staff Platform Engineer to lead the architecture, automation, scalability, and operational maturity of our platform infrastructure and engineering ecosystem. This role requires deep expertise across cloud infrastructure, distributed systems, networking, DevOps, platform engineering, security, and intelligent automation.
As a senior technical leader, you will drive platform strategy, define engineering standards, mentor engineers, and build highly scalable and resilient systems that improve developer productivity, operational efficiency, security, and customer experience.
Platform Architecture, Engineering & Reliability
- Architect and build scalable, secure, and highly available cloud-native platforms on Microsoft Azure
- Design and manage infrastructure automation using Terraform, GitOps, and Infrastructure as Code (IaC)
- Build and improve CI/CD systems, deployment orchestration, environment provisioning, and self-service developer platforms
- Design secure networking and authentication systems using Cloudflare, API gateways, private networking, and Zero Trust principles
- Drive platform reliability, scalability, observability, security, and operational excellence across production environments
- Lead incident management, root cause analysis, operational governance, deployment reliability, and resiliency improvements
- Build AI/LLM and Agentic operational workflows for troubleshooting, automation, operational insights, and intelligent platform management
- Improve operational efficiency through automation, intelligent tooling, anomaly detection, and cloud cost optimization
- Strong hands-on coding experience in Python, Go, or modern programming languages with strong system design and problem-solving fundamentals
- Deep understanding of cloud-native architectures, distributed systems, networking, CI/CD, infrastructure automation, and platform engineering principles
- Experience building internal developer platforms, self-service systems, operational tooling, and AI-assisted engineering workflows
- Strong understanding of SDLC, DevOps practices, Agile methodologies, release governance, and production operational models
- Strong troubleshooting and debugging skills across infrastructure, cloud, deployment, networking, and application layers
Technical Leadership & Collaboration
- Partner with engineering, architecture, security, and product teams to define platform standards and long-term technical strategy
- Improve developer experience, platform adoption, deployment reliability, and operational maturity across teams
- Lead architecture discussions, operational reviews, and production readiness initiatives
- Mentor engineers and drive engineering best practices across platform and infrastructure domains
- Drive engineering culture around automation, scalability, reliability, operational excellence, and platform standardization
- Strong communication, collaboration, stakeholder management, and technical leadership skills
Experience
- 10+ years of experience in Platform Engineering, Infrastructure Engineering, DevOps, SRE, or Cloud Engineering
- Extensive experience managing large-scale production environments on Microsoft Azure
- Experience with Kubernetes, container platforms, GitOps, Terraform, and cloud-native systems
- Experience building enterprise-grade CI/CD and deployment automation platforms
- Experience driving operational excellence, observability, reliability engineering, and infrastructure automation initiatives
- Experience leading cross-functional technical initiatives and mentoring engineers
- Experience with AI/LLM workflows, coding agents, and intelligent automation systems is a strong plus
Technical Skills
Cloud & Infrastructure
- Microsoft Azure, Azure Networking, VNet, NSG, Load Balancer, Private Endpoints, Azure Kubernetes Service (AKS), Azure Container Apps, Azure API Management, Azure Entra ID, Azure Monitor and Log Analytics
Infra, DevOps, Automation and Building Platform
- Terraform,GitHub Actions / Azure DevOps, CI/CD Pipeline Design, Infrastructure as Code (IaC), GitOps, Python / Go any programming language
Networking & Security
- Cloudflare Gateway / WAF, API Security, Authentication & Authorization, SSO Integration (Okta, Entra ID), Network Security and Zero Trust concepts
Observability & Operations
- Monitoring and Alerting, Logging and Tracing, Incident Management, Root Cause Analysis, Reliability Engineering
AI & Platform Intelligence
- LLM-based operational workflows, Agentic automation systems, AI-assisted incident analysis and remediation, Intelligent anomaly detection and operational insights
Nice To Have
- Kubernetes ecosystem tools, Service Mesh, Vector databases, MCP/Agentic orchestration frameworks, FinOps and cloud cost optimization tools
Why Join JazzX AI:
What draws people to JazzX AI is the opportunity to build something truly foundational.
We are at the beginning of a new era — one where enterprise systems will no longer be static tools, but dynamic collaborators that learn, reason, and evolve alongside the people who use them. At JazzX AI, you’ll help build a platform that redefines how work happens in the AGI era.
JazzX AI brings together vision, deep technology, and purpose. This is not about experimenting with AI features; it’s about turning the promise of AGI into practical, auditable, and human-aligned systems that enterprises can trust and rely on at scale. The work here directly impacts productivity, efficiency, and decision-making in complex, real-world environments.
If you’re motivated by building systems that matter — systems that combine intelligence with responsibility — JazzX AI offers the chance to do that work at a deeper level, with real ownership and lasting impact.
Ready to apply?
Apply to JazzX AIHeadquartered in Los Altos, CA. Backed by SAIGroup.
Learn more about JazzX AI:
Website: https://jazzx.ai
LinkedIn: https://www.linkedin.com/company/jazzx-ai
Learn more about SAIGroup:
Website: https://saigroup.ai
Role Overview
At JazzX, we are building a modern cloud-native platform ecosystem focused on scalability, reliability, automation, security, and developer self-service. We leverage Microsoft Azure, Cloudflare, AI/LLM-driven operations, and Agentic workflows to simplify infrastructure management, deployment automation, incident response, and platform operations across multiple environments and customer instances.
We are looking for a highly skilled Senior Platform Engineer who can design, build, automate, and operate large-scale cloud platforms while driving engineering excellence across infrastructure, networking, security, CI/CD, observability, and platform automation.
This role requires strong hands-on technical expertise, ownership mindset, system thinking, and the ability to collaborate across engineering, DevOps, security, and product teams.
Platform Engineering & Operational Excellence
- Design, build, and operate scalable, secure, and highly available cloud infrastructure on Microsoft Azure
- Build and manage platform services including networking, authentication, CI/CD, observability, deployment automation, and self-service systems
- Develop reusable Infrastructure as Code (IaC) frameworks using Terraform, GitOps, and modern automation practices
- Design secure network architectures including VNets, private networking, routing, WAF, API gateways, and Zero Trust principles
- Build automated deployment, environment provisioning, and multi-instance platform management workflows
- Improve platform reliability, operational stability, monitoring, alerting, logging, tracing, and incident response processes
- Drive operational automation, platform resilience, release governance, rollback strategies, and deployment reliability
- Build developer productivity tooling and self-service workflows for platform operations and environment management
- Contribute hands-on using Python, Go, or modern programming languages to build scalable systems, internal platforms, and automation frameworks
- Apply strong system design, distributed systems, troubleshooting, and problem-solving skills across cloud, network, deployment, and infrastructure layers
- Leverage AI/LLM-driven workflows, coding agents, and Agentic systems to improve operational efficiency, automation, incident management, and platform intelligence
- Drive cloud cost optimization, usage visibility, anomaly detection, and operational efficiency initiatives
- Strong understanding of SDLC, DevOps, Agile methodologies, release governance, production operations, and Site Reliability Engineering (SRE) practices
- Strong ownership mindset with focus on scalability, automation, reliability, operational excellence, and developer productivity
Collaboration & Leadership
- Partner with engineering, security, architecture, and product teams to define platform standards, operational processes, and long-term technical strategy
- Work closely with application teams to improve platform adoption, deployment reliability, and developer experience
- Collaborate with security teams to implement authentication, authorization, governance, compliance, and operational security standards
- Participate in architecture reviews, production readiness reviews, operational planning, and incident management discussions
- Mentor engineers and contribute to platform engineering best practices, technical standards, and documentation
- Drive technical discussions and contribute to platform modernization and intelligent automation initiatives
Experience
- 6+ years of experience in Platform Engineering, DevOps, SRE, or Cloud Infrastructure Engineering
- Hands-on experience managing production-scale Azure environments and enterprise-grade CI/CD systems
- Experience working with Kubernetes, cloud-native platforms, infrastructure automation, observability, and distributed systems
- Experience supporting multi-environment and multi-tenant platform operations at scale
- Experience with AI-assisted engineering workflows, operational tooling, or intelligent automation systems is a strong plus
- Strong communication, collaboration, and technical leadership capabilities
Technical Skills
Cloud & Infrastructure
- Microsoft Azure, Azure Networking, VNet, NSG, Load Balancer, Private Endpoints, Azure Kubernetes Service (AKS), Azure Container Apps, Azure API Management, Azure Entra ID, Azure Monitor and Log Analytics
Infra, DevOps, Automation and Building Platform
- Terraform,GitHub Actions / Azure DevOps, CI/CD Pipeline Design, Infrastructure as Code (IaC), GitOps, Python / Go any programming language
Networking & Security
- Cloudflare Gateway / WAF, API Security, Authentication & Authorization, SSO Integration (Okta, Entra ID), Network Security and Zero Trust concepts
Observability & Operations
- Monitoring and Alerting, Logging and Tracing, Incident Management, Root Cause Analysis, Reliability Engineering
AI & Platform Intelligence
- LLM-based operational workflows, Agentic automation systems, AI-assisted incident analysis and remediation, Intelligent anomaly detection and operational insights
Nice To Have
- Kubernetes ecosystem tools, Service Mesh, Vector databases, MCP/Agentic orchestration frameworks, FinOps and cloud cost optimization tools
Why Join Us
At JazzX AI, you have the opportunity to become an integral part of a pioneering team that is pushing the envelope of AI capabilities to create an autonomous intelligence driven future. We champion bold innovation, continuous learning, and embrace the challenges and rewards of crafting something genuinely groundbreaking.
Your work will directly contribute to pioneering solutions that have the potential to transform industries and redefine how we interact with technology. As an early member of our team, your voice will be pivotal in steering the direction of our projects and culture, offering a unique chance to leave your mark on the future of AI.
We offer a competitive salary, equity options, and an attractive benefits package, including health, dental, and vision insurance, flexible working arrangements, and more.
We are an equal opportunity employer and celebrate diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Why Join JazzX AI:
What draws people to JazzX AI is the opportunity to build something truly foundational.
We are at the beginning of a new era — one where enterprise systems will no longer be static tools, but dynamic collaborators that learn, reason, and evolve alongside the people who use them. At JazzX AI, you’ll help build a platform that redefines how work happens in the AGI era.
JazzX AI brings together vision, deep technology, and purpose. This is not about experimenting with AI features; it’s about turning the promise of AGI into practical, auditable, and human-aligned systems that enterprises can trust and rely on at scale. The work here directly impacts productivity, efficiency, and decision-making in complex, real-world environments.
If you’re motivated by building systems that matter — systems that combine intelligence with responsibility — JazzX AI offers the chance to do that work at a deeper level, with real ownership and lasting impact.
Ready to apply?
Apply to JazzX AIAbout EarnIn
As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks.
We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We’re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey.
POSITION SUMMARY
EarnIn is seeking a Platform Engineer to help with strategic design, automation, and optimization of our cloud infrastructure. This role involves innovation in cloud operations, enabling rapid development and scaling solutions across teams and systems. This is an impactful role within the organization, designed for those who excel at critically evaluating the needs of a rapidly growing company and at anticipating and solving cloud challenges at scale.
This position will be hybrid, based in our Bengaluru office (HSR Layout), as part of our expanding site. EarnIn offers our employees excellent benefits, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and opportunities to travel to our Mountain View HQ. Our salary ranges are determined by role, level, and location. We are unable to provide visa sponsorship or immigration support for this position.WHAT YOU'LL DO
- AI-Agent Development: Design, build, and iterate on AI agents that automate platform operations, from service and infra bootstrap, intelligent incident diagnosis, automated runbook execution, to self-healing infrastructure and PR-review bots. Own the agent lifecycle: prompt engineering, tool/function-call orchestration, evaluation, and production monitoring.
- Workflow Automation with AI: Identify and eliminate repetitive human-in-the-loop workflows across CI/CD, environment management, access provisioning, and change management.
- Kubernetes Infrastructure: Support our Kubernetes platform on AWS EKS, with a focus on environment hygiene and security; execute cluster-level tasks and updates with minimal support, and leverage AI for anomaly detection, capacity recommendations, and automated remediation.
- Developer Experience: Utilize our developer control plane (Cortex) to maintain paved paths and self-service actions, helping teams move from idea to production with minimal friction.
- Observability & Excellence: Strengthen operational excellence by monitoring SLOs/error budgets and utilizing Datadog for metrics, traces, and logs to improve system reliability.
- Platform Development: Develop platform services using industry best practices that enable operational excellence for Data, CI/CD, and Security.
- Service Standardization: Maintain service scaffolds and templates that encode testing and telemetry standards, ensure alignment with platform baselines, and use AI to auto-generate and validate configurations against them.
WHAT WE'RE LOOKING FOR
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 3+ years in platform, infrastructure, or backend engineering with deep knowledge of Kubernetes (EKS) and cloud-native architectures on AWS.
- Demonstrated experience building AI agents or agentic workflows, not just using Copilot or ChatGPT, but designing multi-step AI systems that autonomously perform operational tasks (e.g., LLM-powered runbook agents, intelligent CI/CD bots, self-service assistants with tool-use/function-calling).
- Track record of automating away repetitive workflows with AI. You should be able to point to specific examples where you replaced manual processes with AI-driven automation that let a team do more with fewer resources.
- Experience in GitOps (ArgoCD) and CI (GitHub Actions) for multi-service systems.
- Strong coding skills in Go and/or Python, treating infrastructure as software.
- Excellent communication skills; able to clearly convey technical issues and advocate for both the team's and the customer's needs.
- Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, CrewAI, or custom agent architectures) and prompt engineering for production systems.
- Mission-Driven: A strong advocate for the customer who takes initiative to fix issues and constantly asks, "can an AI agent do this instead of a human?"
- Experience using AI-assisted development tools (e.g., Copilot, Cursor, LLMs) is a plus
- Experience with service mesh (e.g., Linkerd) and traffic management patterns.
- Hands-on contributions to developer productivity insights and observability for cost-aware engineering decisions.
At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community. Our team is diverse not only in background and experience but also in perspective. We celebrate our diversity and strive to create a culture of belonging. EarnIn does not unlawfully discriminate based on race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant.
EarnIn does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team.
Ready to apply?
Apply to EarnIn
What we want to accomplish and why we need you.
Suki is a leading technology company that provides AI voice solutions for healthcare. Its mission is to reimagine the healthcare technology stack, making it invisible and assistive to lift the administrative burden from clinicians. Its flagship product is Suki Assistant, an AI assistant that uses generative AI to automatically create clinical documentation by ambiently listening to patient-clinician conversations. Suki helps clinicians complete notes 72% faster on average, assists with other tasks including coding and answering questions, and generates incremental revenue for organizations, delivering a 9X ROI in year 1. Suki also offers its proprietary AI and speech platform, Suki Platform, to partners who want to create best-in-class ambient and voice experiences for their solutions. Clinicians that use Suki already spend over 70% less time on administrative tasks, and we’re striving to do even better. Come and join us!
We are a user-driven company and are committed to making sure every pixel of our product is in service of the doctors. We’re a team of technologists, clinicians, and industry experts working together to push the limits on technology used in medicine. We’re confident enough to move fast and talented enough not to break things.
What will you do every day?
We are looking for a Software Architect to join our Engineering team. Suki's architecture practice is at an inflection point. We have sustained significant CCU growth, completed a demanding OLTP Database scaling journey, leveraged Redis Streams based service orchestration, deployed self-hosted ML models, built agent-driven workflows, launched an Offline Data Platform, and maintained a client surface spanning iOS, Android, Web, SDKs, and a Chrome extension — with on-device ML capabilities across all of them.
The Architect is the person who holds institutional memory and architectural coherence across this surface area — so that decisions made in isolation don't quietly contradict each other, patterns are reused rather than reinvented, and deviations from established patterns are documented, not silently absorbed. The work ahead includes enhanced agentic capabilities, continued multi-region expansion, investments on stream-based/offline data processing, and a growing ML inference footprint.
On a day to day basis, you will:
- Maintain architectural coherence across a complex and wide surface area.
- Own the load-bearing substrate through future growth and failure scenarios. The system must survive several multiples of current enterprise scale and every class of infrastructure event we can name.
- Drive the structural decomposition of platform and domain boundaries, service boundaries across the microservice portfolio, agentic framework direction, auth and access-control architecture, and cross-cutting concerns like observability and rate limiting.
- Bridge AI research and production infrastructure. Translate LLM and model requirements into efficient, production-grade services. Lead the agentic framework direction — memory architectures, tool orchestration, A2A patterns, semantic caching. Operate a GPU fleet at high duty cycle and understand dynamic batching, cross-session batching tradeoffs, and HPA calibration for GPU workloads.
- Document architectural patterns and deviations. Write Architectural Design Records, RFCs, and breaking-points documents that stand alone for readers unfamiliar with the context. Document deviations from established patterns with their reasons — not as failures, but as data points.
- Remain hands-on — stay connected to the craft, read and write code. Prototype new architectures. Review pull requests for patterns that matter. Implement the hard parts of a new pattern yourself when it matters. Lead resolution of the most critical incidents.
- Mentor and elevate the engineering organization. Act as a technical multiplier for senior engineers across backend, data, and ML disciplines. Hold a room, defend a position under pushback without collapsing into agreement, and adjust register for engineering vs. product vs. leadership audiences. Foster a culture of deep technical understanding, not just pattern-matching.
- Represent Suki’s architecture and engineering both in internal and external forums through technical blogs, conferences and meetups
QUALIFICATIONS
- Bachelor's or Master's degree in Computer Science or a related field, or equivalent production experience
- 10+ years of professional software engineering experience, with a proven track record operating at an Architect, Staff, or Principal level
- Expert-level proficiency in Go or Python, with the ability to lead architectural decisions and remain hands-on in code
- Production ownership of a real-time streaming system (Redis Streams, Kafka, Pulsar, or equivalent) at scale — including personal pager experience and a specific debugging story for a duplicate-processing or lost-message bug
- Experience operating multi-TB storage systems with active OLTP traffic
- Hands-on experience with offline/batch architectures: Airflow or equivalent orchestration, columnar formats (Iceberg, Delta, or Hudi), and warehouse-scale query engines (BigQuery, Snowflake, or Redshift)
- Experience designing and operating GPU inference infrastructure at scale, including dynamic batching, Triton/TensorRT, and HPA calibration for GPU workloads — or equivalent ML inference platform depth
- Experience integrating and scaling systems using LLM APIs or foundation models, with opinions about agent framework design, memory architectures, and tool orchestration
- Demonstrated experience navigating product-vs-platform decomposition in a real organization — including having been wrong, and articulating what the reversing signal was
- Proven ability to reason about client-side implications of backend decisions across native mobile, web, SDK, and browser extension surfaces
- Familiarity with healthcare-adjacent regulation (HIPAA, PIPEDA, PHIPA, SOC2, or HITRUST) as a design constraint, not just a compliance requirement, will be a strong plus
- Strong experience with GCP, Kubernetes, Docker, gRPC, and Protocol Buffers; multi-region architecture and data residency design will be a strong plus
What We're Looking For
- Distinguished Technical Expertise: You are a recognized expert with a proven history of architecting, building, and operating complex systems with a strong software engineering talent.
- Strategic, Systems-Level Thinker: You look beyond immediate requirements to anticipate future challenges. You can navigate deep ambiguity, identify long-term risks, and make high-judgment decisions that balance technical purity with business velocity.
- Pragmatic and Action-Oriented: You have a bias for action and a data-driven approach to problem-solving. You understand the entire lifecycle of an ML-powered feature, from data to deployment, and know how to ship robust solutions quickly.
- Leadership Through Influence: You have a demonstrated ability to lead complex, cross-functional technical initiatives without direct authority. You build
Tell me more about Suki
- On a roll: Named by Fast Company as one of the most innovative companies, named Google’s Partner of the Year for AI/ML, named by Forbes as one of the top 50 companies in AI .
- Great team: Founded, managed, and backed by successful tech veterans from Google and Apple and medical leaders from UCSF and Stanford. We have technologists and doctors working side-by-side to solve complex problems.
- Great investors: We’re backed by Venrock, First Round Capital, Flare Capital, March Capital, Hedosophia and others. With our $165M raised so far, we have the resources to scale.
- Huge market: Disrupting a massive, growing $30+ billion market for transcription, dictation, and order-entry solutions. Our vision is to become the voice user interface for healthcare, relieving the administrative burden on doctors instead of adding to it.
- Great customers: Our solutions are used in health systems and clinics across the country, supporting clinicians across dozens of specialties. Check out what one of our users says about how Suki has helped his practice.
- Impact: You’ll make an impact from day one. You’ll join a team working towards a shared purpose with a culture built upon deep empathy for doctors and passion for making their lives better.
Suki is an Equal Opportunity Employer. We are dedicated to building a company that fosters inclusion and belonging and reflects the diverse communities we serve across the country. We know we are stronger this way, and we look forward to growing our team with these shared values.
Ready to apply?
Apply to Suki
Senior Staff Software Engineer ( Machine learning Platform)
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About Tekion:
Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the revolutionary Automotive Retail Cloud (ARC) for retailers, Automotive Enterprise Cloud (AEC) for manufacturers and other large automotive enterprises and Automotive Partner Cloud (APC) for technology and industry partners. Tekion connects the entire spectrum of the automotive retail ecosystem through one seamless platform. The transformative platform uses cutting-edge technology, big data, machine learning, and AI to seamlessly bring together OEMs, retailers/dealers and consumers. With its highly configurable integration and greater customer engagement capabilities, Tekion is enabling the best automotive retail experiences ever. Tekion employs close to 3,000 people across North America, Asia and Europe.
Why This Role Matters
This role powers Tekion’s AI‑native, end‑to‑end automotive platform by turning unified dealership data across DMS, CRM, Digital Retail, Service, and Payments into real‑time intelligence. You’ll operationalize a graph‑based contextual ecosystem so agents can retrieve the right context, enforce policy, and personalize experiences that drive measurable dealer outcomes. You’ll also build the resilient control layer - MCP and the LLM Gateway - that enables safe, cost‑efficient, multi‑provider LLM usage. Finally, you’ll define the standards for building, evaluating, deploying, and governing agentic systems so product teams can ship AI features quickly, safely, and at scale. In addition to enabling agentic systems powered by LLMs, this role also drives building the platform for classical ML models driving optimization across dealership operations.
What Makes This Opportunity Unique
This role offers direct, measurable impact on dealer outcomes and consumer experiences across Tekion’s Automotive Retail Cloud and Automotive Enterprise Cloud, with end‑to‑end ownership of an LLM control plane and gateway that serve multi‑tenant workloads under SLAs and, quality and cost guardrails. You’ll leverage a rich vertical dataset and domain graph spanning sales, service, parts, F&I, accounting, and consumer touchpoints to power context‑aware agents and retrieval‑augmented generation. You’ll also shape core levers - agent orchestration patterns, evaluation frameworks, and safety guardrails - so improvements in latency, reliability, evaluation quality, and safety translate into dealer KPIs like upsell, cycle time, CSAT, and service revenue. You’ll also maintain and enhance the platform to support classical supervised and unsupervised ML models .
Responsibilities
- Build and run the LLM control plane/gateway: smart routing, rate limits/quotas, failover, and token/cost tracking.
- Ship a unified API and SDKs (REST/gRPC) with normalized schemas, structured outputs, caching, and full observability (traces/logs/metrics).
- Enforce safety and privacy by default: content filtering, prompt/response validation, and PII redaction.
- Enable multi‑model, multi‑vendor use LLMs with automated canarying and versioning.
- Own the agent runtime: tool registry, permissions, function calling, grounding, and retrieval.
- Design orchestration patterns (sequential, planner‑executor, streaming) and manage agent state and long‑running workflows.
- Enabling platform components for training and scoring pipelines for classical ML (e.g., XGBoost/LightGBM/linear/trees) and deep models; standardize experiment tracking and packaging.
- Create components to Monitor model and data drift, retraining and tuning models as needed to maintain accuracy and relevance.
- Add human‑in‑the‑loop review and safe‑actioning before agents touch dealer systems.
- Evolve the domain graph and entity resolution; build reliable data ingestion pipelines.
- Serve real‑time context to agents (profiles, inventory, pricing, appointments, service history) with access controls and lineage.
- Power retrieval with hybrid search (graph + vector + keyword) and smart cache/TTL to balance accuracy, latency, and cost.
- Run continuous offline/online evaluations for quality, factuality, bias, and safety for the platform sanity.
- Define SLOs for latency (p50/p95), uptime, and cost view capabilities; enable autoscaling and spend controls.
- Maintain a model/agent registry, versioning, approvals, audit trails, and reproducibility; support compliances where needed.
- Provide templates/CLIs, sandboxes, and docs so product teams can build and ship fast; mentor engineers and champion MLOps and AI safety best practices.
Desired Skills & Experience
- 12–15+ years building large‑scale data/ML or platform systems; strong software engineering fundamentals (Abstracted API design, concurrency, distributed systems).
- Production experience with Python plus one of Java/Scala/Go; microservices and API design.
- MLOps at scale: pipelines (Airflow/Kubeflow), tracking/registry (MLflow), CI/CD for models, A/B testing, shadow/canary, and online feature computation (Spark/Flink/Kafka).
- Cloud and containers: AWS (preferred), plus Docker/Kubernetes; performance, reliability, and cost engineering in multi‑tenant SaaS.
- Practical ML knowledge (feature engineering, training, evaluation, drift detection); experience deploying models that power user‑facing workflows.
- Built or operated an LLM gateway/control plane: provider adapters, routing/policies, caching, quota/rate‑limit, cost and token accounting.
- Agentic systems: tool use/function calling, orchestration frameworks, human‑in‑the‑loop, safety/guardrails, and online evaluation/telemetry.
- Graph and retrieval: knowledge graphs (e.g., Neo4j/Neptune/TigerGraph), GraphQL, vector search (e.g., pgvector/Qdrant/Milvus), hybrid retrieval patterns.
Preferred Mindset
- Platform‑as‑product: obsess over developer experience, paved roads, and clear SLAs.
- Thinks in systems - observability, fallback, access control are core, not afterthoughts.
- Passionate about AI - enjoys enabling real-world LLM and agentic use cases.
- Cost‑aware builder: you treat latency and dollars as first‑class metrics and design for graceful degradation.
- Vendor‑agnostic thinker: choose the right model/provider per use case; build for portability and resilience.
- Documentation and teaching: you make complex systems understandable; you uplevel teams.
Tekion is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, victim of violence or having a family member who is a victim of violence, the intersectionality of two or more protected categories, or other applicable legally protected characteristics.
For more information on our privacy practices, please refer to our Applicant Privacy Notice here.
Ready to apply?
Apply to Tekion
Narvar is Growing! We are looking for a high-potential B.Tech graduate with a strong foundation in Artificial Intelligence and process automation to join our team as an AI Consultant for a 12-month engagement. You will work directly on high-impact projects that use AI to automate and transform our HR and Finance functions.
This is a senior internship role with real ownership and accountability. You will be expected to independently drive projects end-to-end — from understanding the problem, designing the solution, building and testing it, and handing it over to business teams. You will work closely with senior HR and Finance leaders, and your output will directly affect how hundreds of employees experience these functions.
Given the compensation and duration, we expect candidates who can demonstrate either strong academic performance in AI/ML, prior projects, or hands-on experience with AI tools. Fresh thinking combined with technical seriousness is what we are looking for.
Day-to-day
HR Projects
Chatbot & Knowledge Management
- Build and maintain an AI-powered HR chatbot that answers employee questions about policies, leave, payroll, and benefits
- Design and test conversation flows for the chatbot — writing instructions, testing responses, and continuously improving accuracy
- Help digitise and organise HR policy documents so the AI can read and reference them correctly
- Analyse common employee queries to identify gaps in HR documentation and recommend content updates
HR Operations Automation
- Automate repetitive HR tasks such as leave tracking, onboarding checklists, exit checklists, and document collection using appropriate tools
- Build AI agents that monitor, update, and distribute HR dashboards to Executives and Managers — reducing manual reporting effort
- Design automated workflows that surface key HR metrics (headcount, attrition, leave utilisation) to the right stakeholders at the right time
Performance Management Automation
- Automate performance review cycle processes — reminder workflows, form collection, status tracking, and escalation nudges
- Build tools to aggregate and visualise performance data for managers, removing manual consolidation from spreadsheets
- Design AI-assisted pipelines to flag review completion rates, identify bottlenecks, and generate summary reports for HR leadership
Talent Acquisition & Recruitment
- Build dashboards and automated reports tracking talent acquisition metrics — pipeline volume, source effectiveness, time-to-offer, and offer acceptance rates
- Design AI-assisted application review workflows to help the recruitment team prioritise and triage high volumes of applications faster
- Automate candidate communication touchpoints such as acknowledgement emails, status updates, and interview scheduling reminders
- Create tools that surface hiring funnel analytics to Hiring Managers and HR leadership in real time
Finance Projects
- Automate routine finance workflows such as invoice processing, expense categorisation, and reimbursement tracking
- Build simple AI-assisted tools to flag anomalies or inconsistencies in financial data
- Create automated reports and dashboards using Google Sheets or similar tools, reducing manual data entry
- Assist in mapping existing manual finance processes and proposing AI-based alternatives
- Test and document automation tools before they are rolled out to the finance team
What we’re looking for
- B.Tech degree in Computer Science, AI/ML, Data Science, Electronics, or related branch — 2024 or 2025 pass-out
- Demonstrable hands-on experience with AI tools — projects, hackathons, internships, or self-built tools all count
- Working knowledge of Python — able to write scripts, use libraries, and debug independently
- Strong understanding of at least one AI/ML concept: LLMs, NLP, classification, automation pipelines, or similar
- Comfortable working with Google Workspace (Docs, Sheets, Drive) and cloud-based tools
- Excellent written communication in English — you will be writing specifications, documentation, and chatbot content
- Ability to manage your own work, meet deadlines, and proactively communicate blockers
Bonus points
- Experience with LLM APIs — OpenAI, Anthropic Claude, or Google Gemini
- Prior internship or freelance project involving AI, automation, or data — even if short
- Familiarity with no-code/low-code tools: Zapier, Make, Botpress, Flowise, or similar
- Basic understanding of HR or Finance workflows from coursework, projects, or prior exposure
- A GitHub profile, portfolio, or any public evidence of what you have built
- Experience with prompt engineering, RAG pipelines, or building chatbots
What you will earn
- By the end of this internship, you will have hands-on experience that most fresh graduates do not get from classroom learning alone:
- How to build and deploy a working AI chatbot using real enterprise tools
- How to design automated workflows that replace manual, repetitive tasks
- How to work with HR and Finance stakeholders to understand their pain points and translate them into technical solutions
- Practical exposure to AI tools, APIs, and no-code platforms used in Indian companies
- How to document, test, and hand over a technical project to a non-technical team
- Real experience you can put on your resume and explain confidently in interviews
Why Narvar?
We're on a mission to simplify the everyday lives of consumers. Post-purchase is a critical phase of the customer journey. That's why we created Narvar - a platform focused on driving customer loyalty through seamless post-purchase experiences that allow retailers to retain, engage, and delight customers. If you've ever bought something online, there's a good chance you've used our platform!
From the hottest new direct-to-consumer companies to retail’s most renowned brands, Narvar works with GameStop, Neiman Marcus, Sonos, Nike, and 1300+ other brands. With hubs in San Francisco, Atlanta, London, and Bangalore, we've served over 125 million consumers worldwide across 10+ billion interactions, 38 countries, and 55 languages.
Pioneering the post-purchase movement means navigating into the unknown. Our team thrives on this sense of adventure while nurturing a mindset of innovation. We're a home for big hearts and we leave our egos at the door. We work hard but we always make time to celebrate professional wins, baby showers, birthday parties, and everything in between.
We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Please read our Privacy Policy to learn what personal information we collect in connection with your job application, and how we may use and share it.
Ready to apply?
Apply to Narvar
Staff Machine Learning Engineer - Analytics Automation
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Please complete the attached Internal Transfer Request Form and submit.
Please make sure to apply with your Coupang e-mail address.
Company Introduction
We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.
We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.
Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.
Role Overview
The Taiwan Data, Analytics & AI team is the engine driving Coupang’s rapid expansion in the Taiwan market. Our mission is to transform massive datasets into actionable intelligence and automated systems that power business decisions. As we scale, we are transitioning from foundational growth to a sophisticated enterprise AI ecosystem. We are building the next generation of data services that ensure every stakeholder across the Taiwan organization has access to high-integrity, automated, and intelligent insights.
As a Staff Machine Learning Engineer, you will be a technical leader responsible for the architecture and automation of our regional data intelligence layer. Your primary focus will be bridging the gap between raw data and organizational knowledge. You will lead the automation of our Knowledge Base, govern the integrity of our core metrics, and scale our analytics services to support the entire Taiwan organization.
This is a high-impact role where technology meet business, and you will design systems that not only provide data but ensure that the "truth" behind the data is refreshed, accurate, and easily accessible through AI-driven interfaces and help us become true AI first Analytics Organisation.
What You Will Do
-
Automated Knowledge Engineering: Design and implement end-to-end ML pipelines to automate the creation and maintenance of a centralized Knowledge Base, utilizing LLMs and RAG (Retrieval-Augmented Generation) to synthesize complex business logic.
-
Metric Integrity & Governance: Develop systemic checks and automated validation frameworks to ensure the integrity of business metrics. You will be the architect of a "Single Source of Truth," ensuring definitions remain consistent across all AI and reporting services.
-
AI-Driven Pipeline Automation: Architect "Self-Healing" data pipelines using AI tools to automate schema mapping, error detection, and recovery. Implement LLM-powered agents to generate, optimize, and document ETL code, reducing manual engineering overhead.
-
Scalable AI Services: Architect and scale existing Data and Analytics services to handle the increasing demands of the entire Taiwan organization, ensuring high availability and low-latency access to insights.
-
Feedback & Refresh Loops: Build automated feedback mechanisms to identify "stale" content or drifting metric definitions. You will design the workflows that ensure both new and existing knowledge content is refreshed regularly based on user behavior and data shifts.
-
Systemic Optimization: Drive innovation in semantic retrieval and query understanding to allow non-technical stakeholders to interact with complex data layers using natural language.
-
Enablement & Training: Act as a force multiplier by enabling and training various reporting functions (Finance, Ops, Marketing). You will create the tools and frameworks that allow these teams to self-serve with high confidence.
-
Technical Mentorship: Lead by example in code quality, system design, and experimentation. Mentor senior and mid-level engineers, fostering a culture of technical excellence and continuous improvement.
Basic Qualifications
-
Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related technical field.
-
8+ years of professional experience in software engineering and applied machine learning (with at least 2 years in a Staff or Lead capacity).
-
Proficiency in Python or Java, with deep experience building production-grade ML systems and scalable data pipelines.
-
Strong experience with SQL and big data technologies (e.g., Spark, Presto/Trino, Airflow).
Preferred Qualifications
-
Advanced Degree: Master’s or PhD in a relevant technical field.
-
AI/LLM Expertise: Proven track record of deploying Large Language Models (LLMs), vector databases, and embedding-based retrieval systems in a production environment.
-
Automated Management: Experience with AI-powered data management tools (e.g., automated data profiling, AI-driven data catalogs, or LLM-assisted SQL generation).
-
Enterprise Scaling: Experience transitioning data organizations from "growth-phase" scripts to "enterprise-phase" robust microservices.
-
Cloud Proficiency: Hands-on experience with AWS or GCP (SageMaker, Vertex AI, BigQuery).
-
MLOps Mastery: Experience with ML lifecycle tools like MLflow, Kubeflow, or Weights & Biases to manage model lineage and data drift.
-
Communication: Exceptional ability to communicate technical roadmaps to non-technical business leaders and influence cross-functional stakeholders in a fast-paced, global environment.
Type of work model
- Hybrid
Details to consider
- Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.
Privacy Notice
- Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://privacy.coupang.com/en/land/jobs/
Ready to apply?
Apply to Coupang InternalCompany Introduction
We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.
We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.
Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.
Role Overview
The Taiwan Data, Analytics & AI team is the engine driving Coupang’s rapid expansion in the Taiwan market. Our mission is to transform massive datasets into actionable intelligence and automated systems that power business decisions. As we scale, we are transitioning from foundational growth to a sophisticated enterprise AI ecosystem. We are building the next generation of data services that ensure every stakeholder across the Taiwan organization has access to high-integrity, automated, and intelligent insights.
As a Staff Machine Learning Engineer, you will be a technical leader responsible for the architecture and automation of our regional data intelligence layer. Your primary focus will be bridging the gap between raw data and organizational knowledge. You will lead the automation of our Knowledge Base, govern the integrity of our core metrics, and scale our analytics services to support the entire Taiwan organization.
This is a high-impact role where technology meet business, and you will design systems that not only provide data but ensure that the "truth" behind the data is refreshed, accurate, and easily accessible through AI-driven interfaces and help us become true AI first Analytics Organisation.
What You Will Do
-
Automated Knowledge Engineering: Design and implement end-to-end ML pipelines to automate the creation and maintenance of a centralized Knowledge Base, utilizing LLMs and RAG (Retrieval-Augmented Generation) to synthesize complex business logic.
-
Metric Integrity & Governance: Develop systemic checks and automated validation frameworks to ensure the integrity of business metrics. You will be the architect of a "Single Source of Truth," ensuring definitions remain consistent across all AI and reporting services.
-
AI-Driven Pipeline Automation: Architect "Self-Healing" data pipelines using AI tools to automate schema mapping, error detection, and recovery. Implement LLM-powered agents to generate, optimize, and document ETL code, reducing manual engineering overhead.
-
Scalable AI Services: Architect and scale existing Data and Analytics services to handle the increasing demands of the entire Taiwan organization, ensuring high availability and low-latency access to insights.
-
Feedback & Refresh Loops: Build automated feedback mechanisms to identify "stale" content or drifting metric definitions. You will design the workflows that ensure both new and existing knowledge content is refreshed regularly based on user behavior and data shifts.
-
Systemic Optimization: Drive innovation in semantic retrieval and query understanding to allow non-technical stakeholders to interact with complex data layers using natural language.
-
Enablement & Training: Act as a force multiplier by enabling and training various reporting functions (Finance, Ops, Marketing). You will create the tools and frameworks that allow these teams to self-serve with high confidence.
-
Technical Mentorship: Lead by example in code quality, system design, and experimentation. Mentor senior and mid-level engineers, fostering a culture of technical excellence and continuous improvement.
Basic Qualifications
-
Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related technical field.
-
8+ years of professional experience in software engineering and applied machine learning (with at least 2 years in a Staff or Lead capacity).
-
Proficiency in Python or Java, with deep experience building production-grade ML systems and scalable data pipelines.
-
Strong experience with SQL and big data technologies (e.g., Spark, Presto/Trino, Airflow).
Preferred Qualifications
-
Advanced Degree: Master’s or PhD in a relevant technical field.
-
AI/LLM Expertise: Proven track record of deploying Large Language Models (LLMs), vector databases, and embedding-based retrieval systems in a production environment.
-
Automated Management: Experience with AI-powered data management tools (e.g., automated data profiling, AI-driven data catalogs, or LLM-assisted SQL generation).
-
Enterprise Scaling: Experience transitioning data organizations from "growth-phase" scripts to "enterprise-phase" robust microservices.
-
Cloud Proficiency: Hands-on experience with AWS or GCP (SageMaker, Vertex AI, BigQuery).
-
MLOps Mastery: Experience with ML lifecycle tools like MLflow, Kubeflow, or Weights & Biases to manage model lineage and data drift.
-
Communication: Exceptional ability to communicate technical roadmaps to non-technical business leaders and influence cross-functional stakeholders in a fast-paced, global environment.
Type of work model
- Hybrid
Details to consider
- Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.
Privacy Notice
- Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://privacy.coupang.com/en/land/jobs/
Ready to apply?
Apply to Coupang
AI Engineer
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About Us
With electric vehicles expected to be nearly 30% of new vehicle sales by 2025 and more than 50% by 2040, electric mobility is becoming a reality. ChargePoint (NYSE: CHPT) is at the center of this revolution, powering one of the world’s leading EV charging networks and a comprehensive set of hardware, software and mobile solutions for every charging need across North America and Europe. We bring together drivers, businesses, automakers, policymakers, utilities and other stakeholders to make e-mobility a global reality.
Since our founding in 2007, ChargePoint has focused solely on making the transition to electric easy for businesses, fleets and drivers. ChargePoint offers a once-in-a-lifetime opportunity to create an all-electric future and a trillion-dollar market.
At ChargePoint, we foster a positive and productive work environment by committing to live our values of Be Courageous, Charge Together, Love our Customers, Operate with Openness, and Relentlessly Pursue Awesome. These values guide how we show up every day, align, and work together to build a brighter future for all of us.
Join the team that is building the EV charging industry and make your mark on how people and goods will get everywhere they need to go, in any context, for generations to come.
Reports To
Director, NOC Delivery & Automation
What You Will Be Doing
- Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
- You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
- Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.
What You Will Bring to ChargePoint
- Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
- Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
- Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
- Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
- Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
- Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
- Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
- Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
- Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)
Requirements
- 8+ years of software engineering experience with 4+ years focused on AI/ML systems in production
- Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
- Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
- Background in computer vision, image processing, or visual transformer architectures
- Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
- Experience working with massive datasets (50TB+) and building scalable data pipelines
- Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
- Familiarity with RLHF-style preference tuning and model alignment techniques
- Experience with observability and monitoring stacks including metrics, logging, and tracing
- Certifications in Generative AI, Agentic AI, or related specialization.
Location
Bangalore, India
We are committed to an inclusive and diverse team. ChargePoint is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.
If there is a match between your experiences/skills and the Company needs, we will contact you directly.
ChargePoint is committed to fostering an inclusive workplace that welcomes and supports all qualified individuals. In alignment with this commitment, we ensure that persons with disabilities are provided with reasonable accommodations throughout the employment process.
If you need a reasonable accommodation to participate in the application or interview process, to perform essential job functions, or to access any other benefits and privileges of employment, please contact us at accommodations@chargepoint.com.
ChargePoint is an equal opportunity employer.
Applicants only - Recruiting agencies do not contact.
Ready to apply?
Apply to ChargePoint
Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
Get to know Okta
Okta is The World’s Identity Company. We free everyone to safely use any technology—anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth.
At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box, we’re looking for lifelong learners and people who can make us better with their unique experiences.
Join our team! We’re building a world where Identity belongs to you.
The Data Enablement Team
Auth0 is an easy-to-implement authentication and authorization platform designed by developers for developers. We make access to applications safe, secure, and seamless for the more than 100 million daily logins around the world. Our modern approach to identity enables this Tier 0 global service to deliver convenience, privacy, and security so customers can focus on innovation.
Within the Data organization, the Data Enablement team is chartered with creating scalable semantic models that make it safe for anyone to see and understand data. By partnering with product and engineering leaders, this team owns the data lifecycle from strategy to prototyping to implementation, executive dashboard and product level self-service support.
The Senior Data Analyst Opportunity
Reporting to the Manager, Data Enablement - this role will be responsible for unlocking analytics across the company. You will do this through a combination of data lifecycle ownership, data tooling enablement and outreach programs designed to foster the safe usage of scalable data models for reporting and analytic consumption.
You'll serve as a critical data and technical partner that empowers our Sales, TAM, and Customer Success teams with the deep product insights they need to succeed. An average week will find you partnering with these teams to understand their measurement needs, reviewing engineering plans to ensure we capture critical data signals from the Auth0 product and developing data products that drive key success metrics. You will have multiple tools and teams at your disposal to achieve the core outcome of creating product and customer insights that help our partners drive value and long-term customer success.
What you’ll be doing
- Partner with peers and leaders in Sales, TAM, Customer Success, Product, Engineering and Program Management to develop scalable measurement strategies for our data assets, products and services
- Drive scalable, semantic data models that can support stakeholders both inside of Auth0 and across the enterprise
- Educate and enlighten data stakeholders with newly available objects and models that will unlock product, revenue, sales and business insights
- Build reusable data models that support key concepts of the business (Entitlement, Activation, Utilization, Engagement, etc.)
- Deliver executive dashboards and product insights based on foundational productionalized data models
- Partner with other analysts to create composite measures and insights that span Auth0 and the enterprise
- Ensure that data privacy and governance is a first priority at all stages of the data lifecycle
What you’ll bring to the role
- 5+ years of experience in analytics, data engineering, or analytics engineering, or product management
- 5+ years of hands-on experience with data visualization tools (Tableau, Looker, Streamlit, PowerBI, Sigma, Omni, etc.)
- 5+ years of SQL experience
- Strong understanding of data lifecycle management including instrumentation, governance, modeling and self-service interfaces
- Experience working within a Jira/Agile environment to manage and prioritize technical work.
- Build relationships with partners and stakeholders to understand product data needs, distill business requirements into technical documentation and prioritize work accordingly
- Excellent business acumen and emotional intelligence in ambiguous environments
- BA or higher, preferred; additional relevant work experience in lieu of a degree is acceptable
And extra credit if you have experience in any of the following!
- Cloud based data warehouse technologies (Snowflake, BigQuery, Databricks, etc.)
- Data engineering (Python, dbt, Kafka, Parquet, DuckDB, etc.)
- Experience with version control systems (e.g., Git) and the Pull Request process.
- Proficiency with advanced data skills/code, such as working with Claude code or other LLM-based data analysis tools.
- Paywall, subscription or authentication based products
What you can look forward to as an Okta employee!
- Amazing Benefits
- Making Social Impact
- Fostering Diversity, Equity, Inclusion and Belonging at Okta
Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.
Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/.
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The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
Ready to apply?
Apply to Okta
Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
Okta seeks a skilled Staff Full Stack Engineer with expertise in NetSuite and/or Oracle Fusion Cloud Applications. As part of our Business Technology team, you will be responsible for developing and optimizing full-stack solutions, including custom scripts, workflows, integrations, and system enhancements for both NetSuite and Oracle Fusion to improve business processes and scalability. This role will report to the Manager in Bangalore, India. We’d love to hear from you!
Job Duties and Responsibilities
- Design, develop, and maintain full-stack solutions for Finance Tech stack like NetSuite, Coupa and Oracle Fusion Cloud Applications etc., using any of the full-stack applications like Node Js/React
- Develop and maintain robust off-platform integration scripts using Python & LangChain to manage data transfer and interactions between NetSuite (via SuiteTalk or RESTlets) and AI Platforms
- Architect and implement scalable, secure, and cost-efficient cloud-native solutions on AWS for RAG, MCP, and Agentic AI (LangGraph)
- Closely work with the BT Product Manager to design, develop, test, implement & support system solutions primarily in Finance Technology
- Provide technical consultation, best practices, and problem resolution for AI and Agentic AI for the Finance tech stack NetSuite, Oracle Fusion, and associated integrated systems
- Support & resolve production issues across the full application stack
- Develop and maintain integrations with third-party applications via REST/SOAP APIs
- Design and implement custom Generative AI solutions using the SuiteScript Generative AI API for practical NetSuite use cases and explore similar capabilities in Oracle Fusion
Required Skills:
- 9+ years in Python and its libraries (e.g., Pandas, Boto3) for data manipulation, ETL processes, and developing serverless functions to interact with foundational AI services on platforms like AWS Bedrock.
- Deep hands-on experience with AWS solutioning, including designing and deploying production applications using core services such as AWS EC2, AWS Lambda, Amazon S3, Amazon RDS, and API Gateway. Familiarity with Infrastructure as Code (IaC) tools like CloudFormation or Terraform is essential.
- Proficiency in NetSuite development experience (SuiteScript, SuiteFlow, SuiteTalk).
- Experience with SuiteCloud tools, REST/SOAP APIs, and third-party integrations.
- Experience with the SuiteScript Generative AI APIs to integrate LLM capabilities for advanced scripting solutions
- Strong understanding of Finance Business processes (Order Management, Billing, Vendor bill, etc.).
- Proficiency in JavaScript, SQL, and related web technologies
- Configure NetSuite modules to align with business needs, including leveraging Prompt Studio to customize and manage NetSuite AI functions like Text Enhance.
- Ability to drive and architect solutions with other developers, focusing on maximizing the value of embedded NetSuite AI capabilities
- Working Experience on the MCP and familiar with SaaS MCP connectors, like NetSuite MCP or similar
- Working experience with foundational AI services, with a desire to use a unified platform like AWS Bedrock for Generative AI development and deployment
- Nice to have some core Amazon Machine Learning (ML) services, specifically AWS SageMaker (for building, training, and deploying custom ML models), AWS Comprehend (for natural language processing and text analytics), and Retrieval Augmented Generation (RAG)
Education and Certifications
- A Bachelor’s degree in Computer Science, Information Systems, or equivalent years of industry experience
- AWS cloud Certification or any ERP foundation certificate is a plus
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The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
Ready to apply?
Apply to Okta
Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
Okta seeks a skilled NetSuite Developer to optimize, customize, and maintain our NetSuite ERP system. As part of our Business Technology team, you will be responsible for developing scripts, workflows, integrations, and system enhancements to improve business processes and scalability. This role will report to the Manager in Bangalore, India. We would love to hear from you!
Job Duties and Responsibilities
- Design and implement custom Generative AI solutions using the SuiteScript Generative AI API for practical NetSuite use cases
- Develop and maintain robust off-platform integration scripts, utilizing Python & LangChain and to manage data transfer and interaction between NetSuite (via SuiteTalk or RESTlets) and external AI/ML platforms, particularly for data preprocessing before RAG operations.1..
- Closely work with the BT team to design, develop, test, implement & support system solutions primarily in Finance Technology.
- Provide technical consultant, best practices, and problem resolution.
- Support & resolve production issues
- Develop and maintain integrations with third-party applications via REST/SOAP APIs
Required Skills:
- 9+ years in Python and its libraries (e.g., Pandas, Boto3) for data manipulation, ETL processes, and developing serverless functions to interact with foundational AI services on platforms like AWS Bedrock.
- Proficiency in NetSuite development experience (SuiteScript, SuiteFlow, SuiteTalk).
- Experience with SuiteCloud tools, REST/SOAP APIs, and third-party integrations.
- Experience with the SuiteScript Generative AI APIs to integrate LLM capabilities for advanced scripting solutions.
- Strong understanding of NetSuite ERP modules (Order Management, Billing, Vendor bill, etc.).
- Proficiency in JavaScript, SQL, and related web technologies
- Configure NetSuite modules to align with business needs, including leveraging Prompt Studio to customize and manage NetSuite AI functions like Text Enhance.
- Ability to drive and architect solutions with other developers, focusing on maximizing the value of embedded NetSuite AI capabilities.
- Deep practical experience in Prompt Engineering and iterative refinement of prompts within NetSuite Prompt Studio to maximize the relevance and accuracy of NetSuite AI outputs like Text Enhance.1
- Familiarity with containerization and orchestration tools (e.g., Docker) for deploying Python-based external services that augment NetSuite's capabilities
- Experience with ERP like Oracle Fusion Cloud Applications or SAP H4/HANA is a plus.
- Nice to have some experience with foundational AI services, including the desire to utilize a unified platform like AWS Bedrock for Generative AI development and deployment
Education and Certifications
- A Bachelor’s degree in Computer Science or Information Systems or equivalent years of industry experience
- NetSuite Administration or ERP consultant certification is an advantage
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The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
Ready to apply?
Apply to Okta
Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
Get to know Okta
Okta is The World’s Identity Company. We free everyone to safely use any technology—anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth.
At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box, we’re looking for lifelong learners and people who can make us better with their unique experiences.
Join our team! We’re building a world where Identity belongs to you.
The Data Enablement Team
Auth0 is an easy-to-implement authentication and authorization platform designed by developers for developers. We make access to applications safe, secure, and seamless for the more than 100 million daily logins around the world. Our modern approach to identity enables this Tier 0 global service to deliver convenience, privacy, and security so customers can focus on innovation.
Within the Data organization, the Data Enablement team is chartered with creating scalable semantic models that make it safe for anyone to see and understand data. By partnering with product and engineering leaders, this team owns the data lifecycle from strategy to prototyping to implementation, executive dashboard and product level self-service support.
The Senior Data Analyst Opportunity
Reporting to the Manager, Data Enablement - this role will be responsible for unlocking analytics across the company. You will do this through a combination of data lifecycle ownership, data tooling enablement and outreach programs designed to foster the safe usage of scalable data models for reporting and analytic consumption.
You'll serve as a critical data and technical partner that empowers our Sales, TAM, and Customer Success teams with the deep product insights they need to succeed. An average week will find you partnering with these teams to understand their measurement needs, reviewing engineering plans to ensure we capture critical data signals from the Auth0 product and developing data products that drive key success metrics. You will have multiple tools and teams at your disposal to achieve the core outcome of creating product and customer insights that help our partners drive value and long-term customer success.
What you’ll be doing
- Partner with peers and leaders in Sales, TAM, Customer Success, Product, Engineering and Program Management to develop scalable measurement strategies for our data assets, products and services
- Drive scalable, semantic data models that can support stakeholders both inside of Auth0 and across the enterprise
- Educate and enlighten data stakeholders with newly available objects and models that will unlock product, revenue, sales and business insights
- Build reusable data models that support key concepts of the business (Entitlement, Activation, Utilization, Engagement, etc.)
- Deliver executive dashboards and product insights based on foundational productionalized data models
- Partner with other analysts to create composite measures and insights that span Auth0 and the enterprise
- Ensure that data privacy and governance is a first priority at all stages of the data lifecycle
What you’ll bring to the role
- 5+ years of experience in analytics, data engineering, or analytics engineering, or product management
- 5+ years of hands-on experience with data visualization tools (Tableau, Looker, Streamlit, PowerBI, Sigma, Omni, etc.)
- 5+ years of SQL experience
- Strong understanding of data lifecycle management including instrumentation, governance, modeling and self-service interfaces
- Experience working within a Jira/Agile environment to manage and prioritize technical work.
- Build relationships with partners and stakeholders to understand product data needs, distill business requirements into technical documentation and prioritize work accordingly
- Excellent business acumen and emotional intelligence in ambiguous environments
- BA or higher, preferred; additional relevant work experience in lieu of a degree is acceptable
And extra credit if you have experience in any of the following!
- Cloud based data warehouse technologies (Snowflake, BigQuery, Databricks, etc.)
- Data engineering (Python, dbt, Kafka, Parquet, DuckDB, etc.)
- Experience with version control systems (e.g., Git) and the Pull Request process.
- Proficiency with advanced data skills/code, such as working with Claude code or other LLM-based data analysis tools.
- Paywall, subscription or authentication based products
What you can look forward to as an Okta employee!
- Amazing Benefits
- Making Social Impact
- Fostering Diversity, Equity, Inclusion and Belonging at Okta
Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.
Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/.
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#LI_Linkedin P24589_3405679
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
Ready to apply?
Apply to Okta
Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
Get to know Okta
Okta is The World's Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth.
At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box — we're looking for lifelong learners and people who can make us better with their unique experiences.
Join our team! We're building a world where Identity belongs to you.
Auth0 is an easy-to-implement authentication and authorization platform designed by developers for developers. We make access to applications safe, secure, and seamless for the more than 100 million daily logins around the world. Our modern approach to identity enables this Tier-0 global service to deliver convenience, privacy, and security so customers can focus on innovation.
The Engineering Architect Team
The Architecture team is a small group of very senior engineers reporting to our VP of Engineering Excellence, working broadly across the organization in collaboration with Engineering, Product, and Security. We partner deeply with other Engineering teams for large projects, and provide direction and architectural guidance for smaller initiatives. We have a dual-pronged charter to "level up the tech stack and level up the people stack" via both technical contributions and partnerships and mentoring.
The Role
Auth0 is a developer product at its core — and increasingly, the developers building with us aren't just humans. AI agents are now a first-class consumer of our SDKs, APIs, and documentation.
This role owns the architectural vision for how Auth0 is experienced across three dimensions: DX (Developer Experience — how human developers build with Auth0), UX (User Experience — how users experience Auth0 products), and AX (Agentic Experience — how AI agents interact with and build on Auth0).
You'll work across our SDK ecosystem, public APIs, documentation, and product surfaces to ensure that every touchpoint is consistent, delightful, and easy to build on — whether the builder is a human or an agent.
You'll also contribute directly to how we build internally: creating the skills, guardrails, and patterns that our own in-house agents use, ensuring that agent-assisted development at Auth0 produces the same high-quality, consistent output as human-led development.
What you'll be doing
- Define and drive the architectural vision for DX, UX, and AX across Auth0's public products, SDKs, and APIs
- Identify and address inconsistencies across Auth0's product surfaces, establishing patterns and standards that make the experience feel unified and intentional
- Architect and contribute to the SDK and API design layer, ensuring our developer-facing interfaces are ergonomic, consistent, and built for both human and agent consumers
- Design and build agent skills, guardrails, and contextual tooling (MCP servers, SKILL.md, llms.txt, structured documentation) that enable agents to build correctly with Auth0
- Embed within Engineering teams for large initiatives, providing architectural guidance and lighter-touch direction for smaller efforts
- Partner closely with the Design team as a key stakeholder, ensuring engineering implementation reflects and reinforces the product's UX direction
- Contribute to Auth0's Developer Experience Principles in practice — not just as guidance, but through hands-on implementation that raises the bar
- Lead by doing: reviewing, prototyping, and contributing code across SDKs, tooling, and documentation systems
- Participate in our Engineering Leadership Team with other architects, directors, and executives
- Mentor and uplevel engineers across the organization on experience-focused architecture
What you'll bring to the role
- Experience : 15 to 20 year .
- Deep experience designing developer-facing products: SDKs, APIs, CLIs, documentation systems, or developer portals
- A strong point of view on what great DX looks like — and the ability to identify, articulate, and fix where it falls short
- Familiarity with the emerging AX space: agent-readable documentation formats, MCP servers, agent skills, and how AI agents consume APIs and tooling auth0.com
- Knowledge of Identity protocols such as OAuth, OIDC, and SAML, and how they surface in developer-facing products
- Experience working across multiple product surfaces to drive consistency — you've seen what fragmentation looks like and know how to fix it
- Hands-on coding ability: this is not a purely advisory role; you'll be expected to build, prototype, and contribute directly
- Very strong written and verbal communication skills, with the ability to influence engineers, product managers, and designers
- Ability to drive technical decisions to conclusion while balancing quality, velocity, and pragmatism
- Excellence at creating clarity and alignment across teams without direct authority
Extra credit:
- Experience contributing to or maintaining open source SDKs or libraries
- Familiarity with structured content and documentation systems designed for LLM consumption (llms.txt, OpenAPI, structured changelogs)
- Experience with frontend or full-stack development, particularly in the context of developer tooling or product surfaces like Universal Login
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The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
Ready to apply?
Apply to Okta
Senior Analyst, Data Scientist
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Company Overview
Arcesium is a global financial technology firm that solves complex data-driven challenges faced by some of the world’s most sophisticated financial institutions. We constantly innovate our platform and capabilities to meet tomorrow’s challenges, anticipate the risks our clients encounter, and design advanced solutions to help our clients achieve transformational business outcomes.
Financial technology is a high-growth industry as change and innovation continue to disrupt the status-quo and prompt major transformation. Arcesium is at a particularly interesting time in our own growth as we look to leverage our successfully established market position and expand operations in pursuit of strategic new business opportunities. We value intellectual curiosity, proactive ownership, and collaboration with colleagues, and we empower you to meaningfully contribute from day one and accelerate your professional development.
Position Summary
Arcesium seeks an experienced Data Scientist professional to join our Business Operations team within the Client and Partner Development (CPD) organization. The ideal candidate will be comfortable working across large volumes of varied datasets spanning pricing, headcount, market research, commercial performance, and translating that data into the models, frameworks, and insights that drive decision-making. Beyond building models and reporting on data, this person will be expected to draw principled conclusions from their analysis and present clear, strategic recommendations to senior leadership. You will also play an active role in identifying AI-driven solutions that improve how the team works and be a part of AI strategy for CPD. You will collaborate closely with global CPD teams across Sales & Partnership, Revenue Operations, Marketing, Forward Deployed, Account Management and Client Success, Service and Solutions teams to execute complex projects and help the organization scale through data-backed governance.
What you'll do:
- Identify relevant data sources and work with CPD stakeholders across functions to collect, analyze, and interpret large structured and unstructured datasets spanning domains such as pricing, headcount, market research, and operational metrics.
- Devise and apply algorithms and models to extract insight from large data stores. Conduct data and error analysis to improve model performance, and clean and validate data for uniformity and accuracy.
- Analyze data for trends and patterns with clear objectives in mind. Interpret outputs and draw principled conclusions rather than stopping at the analysis itself, ensuring findings inform real decisions.
- Implement analytical models and reporting frameworks end to end, from data ingestion through to leadership-ready outputs.
- Conduct what-if and scenario analyses and translate outputs into clear narratives that are actionable at the senior leadership level.
- Design and develop automation scripts and data pipelines to synthesize and structure data from diverse sources, applying critical thinking to move toward zero-touch processes and maximize end-to-end efficiency.
- Produce KPI dashboards and performance reports using historical data to surface trends and productivity insights for executive audiences, with a focus on telling the story behind the data.
- Act as the primary internal champion for responsible, practical AI use within CPD, educating stakeholders, setting best practices, and ensuring solutions are sustainable and governed.
- Develop reusable AI frameworks, prompt libraries, and automation components that scale adoption across the CPD organization and serve as a foundation for future capabilities.
What you'll need:
- Strong verbal and written communication skills, with the ability to present analytical findings clearly to senior leadership and stakeholders across functions.
- 4 to 7 years of experience in a data analytics or business operations role. Prior experience at a financial technology firm is a plus.
- Advanced proficiency in Excel including complex formulas and VBA Macro programming. Strong Excel fundamentals are a core expectation of this role.
- Proficiency in Python or similar scripting languages for data transformation, automation, and analysis.
- Working knowledge of SQL for querying and managing structured datasets.
- Experience with data visualization tools, particularly Power BI, to build dashboards and reports for executive and operational audiences.
- Experience with data mining and statistical analysis, including segmentation techniques and statistical packages for working with large datasets.
- Proven ability to conduct what-if and scenario analysis and communicate implications clearly to non-technical senior stakeholders.
- Experience tracking KPIs and relevant metrics for revenue organizations, aligned with broader organizational performance indicators.
- Demonstrated hands-on experience building AI-powered workflows, automation pipelines, or LLM-assisted tools in a business context.
- Genuine intellectual curiosity about AI and a track record of applying it to real operational problems.
- Ability to balance medium to long-term analytical projects alongside day-to-day operational responsibilities.
Arcesium's Personal Data Privacy Notice for Candidates is linked here.
Recruiting Security
Emails from genuine Arcesium recruiters who are employees of the company will always come from the @arcesium.com domain. In some cases, you may also be contacted by independent search firms engaged to recruit on our behalf; emails from their employees should always come from their firm's applicable domain. We'll never ask for your banking information or any payment as part of the recruiting process. If something seems off or you're contacted by an unexpected third party, please reach out to us at careers@arcesium.com (US/UK) or careers-india@arcesium.com (India).
Arcesium is an equal opportunity employer.
Ready to apply?
Apply to Arcesium LLC
Staff AI Engineer
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About Us
With electric vehicles expected to be nearly 30% of new vehicle sales by 2025 and more than 50% by 2040, electric mobility is becoming a reality. ChargePoint (NYSE: CHPT) is at the center of this revolution, powering one of the world’s leading EV charging networks and a comprehensive set of hardware, software and mobile solutions for every charging need across North America and Europe. We bring together drivers, businesses, automakers, policymakers, utilities and other stakeholders to make e-mobility a global reality.
Since our founding in 2007, ChargePoint has focused solely on making the transition to electric easy for businesses, fleets and drivers. ChargePoint offers a once-in-a-lifetime opportunity to create an all-electric future and a trillion-dollar market.
At ChargePoint, we foster a positive and productive work environment by committing to live our values of Be Courageous, Charge Together, Love our Customers, Operate with Openness, and Relentlessly Pursue Awesome. These values guide how we show up every day, align, and work together to build a brighter future for all of us.
Join the team that is building the EV charging industry and make your mark on how people and goods will get everywhere they need to go, in any context, for generations to come.
Reports To
Director, NOC Delivery & Automation
What You Will Be Doing
- Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
- You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
- Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.
What You Will Bring to ChargePoint
- Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
- Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
- Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
- Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
- Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
- Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
- Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
- Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
- Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)
Requirements
- 8+ years of software engineering experience with 4+ years focused on AI/ML systems in production
- Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
- Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
- Background in computer vision, image processing, or visual transformer architectures
- Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
- Experience working with massive datasets (50TB+) and building scalable data pipelines
- Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
- Familiarity with RLHF-style preference tuning and model alignment techniques
- Experience with observability and monitoring stacks including metrics, logging, and tracing
- Certifications in Generative AI, Agentic AI, or related specialization.
Location
Bangalore, India
We are committed to an inclusive and diverse team. ChargePoint is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.
If there is a match between your experiences/skills and the Company needs, we will contact you directly.
ChargePoint is committed to fostering an inclusive workplace that welcomes and supports all qualified individuals. In alignment with this commitment, we ensure that persons with disabilities are provided with reasonable accommodations throughout the employment process.
If you need a reasonable accommodation to participate in the application or interview process, to perform essential job functions, or to access any other benefits and privileges of employment, please contact us at accommodations@chargepoint.com.
ChargePoint is an equal opportunity employer.
Applicants only - Recruiting agencies do not contact.
Ready to apply?
Apply to ChargePoint
Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.
The opportunity
At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.
We are proud of:
- The work we do and the innovation we drive
- Our values of share, care and dare
- A workplace culture that fosters creativity, diversity and autonomy
- Our borderless, global framework, which enables seamless collaboration
The role
As a Cloud Engineer, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 6+ YEARS of experience, a growth mindset and a drive to make a lasting impact.
You will thrive in this role if you are:
- A curious problem solver who challenges the status quo
- A collaborator who values teamwork and knowledge-sharing
- Excited by the intersection of technology, creativity and data
- Experienced in Agile methodologies and consulting (a plus)
Role responsibilities
- Design GCP-native architectures using services such as BigQuery, Dataflow (Apache Beam), Cloud Composer (Airflow), Pub/Sub, Cloud Storage, Vertex AI, and Cloud Run
- Build and maintain data pipelines — batch and streaming — following medallion architecture patterns (Bronze / Silver / Gold)
- Implement infrastructure as code using Terraform and manage deployments via Cloud Build or equivalent CI/CD tooling
- Define and apply GCP landing zone standards including IAM, VPC, Shared VPC, Private Service Connect, and Org policies
- Develop end-to-end Lakehouse solutions on Databricks — including Delta Lake table design, Unity Catalog governance, and MLflow model tracking
- Write and optimise PySpark and SQL workloads for large-scale transformations and feature engineering
- Configure Databricks clusters, job scheduling, auto-scaling, and cost controls in a GCP (DBX on GCP) environment
- Implement Databricks Workflows and Asset Bundles for orchestration and deployment automation
- Advise clients on Databricks platform adoption, including migration pathways from legacy Hadoop or on-premise data warehouses
- Lead technical workshops and requirements-gathering sessions with client technical and business teams
- Produce high-quality client-facing deliverables: architecture diagrams, technical specifications, migration runbooks, and data dictionaries
- Present solution designs and progress updates to client stakeholders — adapting technical communication to audience level (CTO to Business Analyst)
- Manage technical dependencies, risks, and issues across delivery workstreams — escalating to Delivery Managers as appropriate
- Participate in sprint ceremonies and maintain delivery velocity within Agile/Scrum or Kanban frameworks
- Implement data quality frameworks using tools such as Great Expectations, dbt tests, or Databricks Delta constraints
- Support data catalogue initiatives and metadata management using Dataplex or Unity Catalog
- Ensure GDPR/data residency compliance is embedded into solution design from the outset
- Support practice leads in responding to RFPs and RFIs — contributing to effort estimation, solution sizing, and proposal narrative
- Contribute to internal knowledge-sharing — through documentation, runbooks, and team enablement sessions
- Stay current with GCP and Databricks product roadmaps and proactively identify opportunities to introduce new capabilities to clients
Must have qualifications
- Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience
- 6+ years of hands-on professional experience in cloud data engineering or GCP platform roles.
- Google Cloud Professional Data Engineer or Professional Cloud Architect certification
- Databricks Certified Associate Developer for Apache Spark or Databricks Certified Data Engineer certification
- BigQuery — advanced SQL, partitioning, clustering, cost optimization
- Cloud Storage, Cloud Functions, Cloud Run
- Dataflow (Apache Beam) — batch & streaming pipelines
- Cloud Composer / Airflow — DAG authoring and management
- Pub/Sub — event-driven architectures
- Vertex AI — model serving and Pipelines exposure
- IAM, VPC, Org Policies — security and governance
- Cloud Build / Artifact Registry — CI/CD and containerization
- Terraform — infrastructure as code on GCP
- Looker / Looker Studio — reporting layer familiarity
- PySpark — DataFrame API, optimization, broadcast joins
- Delta Lake — ACID transactions, time travel, Z-ordering
- Unity Catalog — governance, lineage, access control
- Databricks Workflows / Job orchestration
- Databricks on GCP — cluster config, instance pools
- MLflow — experiment tracking, model registry
- dbt on Databricks or BigQuery
- Databricks Asset Bundles / CI/CD integration
- Python — data engineering and scripting proficiency
- SQL — advanced analytical queries
- Git / version control — branching, PR workflows
- Docker — containerization basics
- Unit testing and data pipeline testing practices
- REST API integration patterns
Nice to have qualifications
- Experience with Azure or AWS alongside GCP — hybrid cloud delivery experience
- Familiarity with commercetools, Contentful, or other composable commerce/content platforms
- Exposure to Salesforce Marketing Cloud data connectors or CDPs
- Knowledge of Generative AI / LLM integration patterns — Vertex AI GenAI Studio, Gemini APIs
- Experience with Databricks Agent Framework or LangChain for agentic AI workloads
- Apache Kafka or Confluent Cloud for event streaming architectures
- Google Cloud Professional Machine Learning Engineer
- HashiCorp Terraform Associate.
- Experience in luxury, retail, or FMCG verticals — understanding of product data models and PIM systems
If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.
Commitment to reaching all kinds of people
We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.
The benefits
This is a Full Time position based in Bengaluru
Beyond a competitive compensation package, we offer:
- Flexibility, with remote and hybrid work options (country-dependent)
- Career advancement, with international mobility and professional development programs
- Learning and development, with access to cutting-edge tools, training and industry experts
Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.
Your application process
Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.
⚠️ Beware of recruitment fraud!
We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.
About Valtech
Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.
At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.
At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.
Are you ready to create what’s next? Join us.
Ready to apply?
Apply to Valtech
Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.
The opportunity
At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.
We are proud of:
- The work we do and the innovation we drive
- Our values of share, care and dare
- A workplace culture that fosters creativity, diversity and autonomy
- Our borderless, global framework, which enables seamless collaboration
The role
As a Data Architect, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 10+ YEARS of experience, a growth mindset and a drive to make a lasting impact.
You will thrive in this role if you are:
- A curious problem solver who challenges the status quo
- A collaborator who values teamwork and knowledge-sharing
- Excited by the intersection of technology, creativity and data
- Experienced in Agile methodologies and consulting (a plus)
Role responsibilities
- Define and document the end-to-end target-state data architecture for enterprise client programmes — covering ingestion, storage, transformation, serving, and consumption layers
- Establish domain-driven data architecture boundaries aligned to business domains (e.g. Product, Customer, Order, Finance) using Domain-Driven Design (DDD) principles
- Lead architecture design sessions with clients to align on technology choices, topology, and migration sequencing
- Produce architecture artefacts to a consultancy standard: C4 diagrams, data flow diagrams, architecture decision records (ADRs), and technology selection rationale documents
- Evaluate and recommend GCP-native vs. third-party component trade-offs — with clear cost, scalability, and maintainability justification
- Define and enforce enterprise data modelling standards across the programme — covering 3NF (operational layer), dimensional modelling (Kimball star/snowflake for analytics), and Data Vault 2.0 (historized, auditable Lakehouse layers) as appropriate
- Establish canonical data models for core business domains — ensuring consistency across squads and brands or business units
- Design and govern the metadata framework: schema standards, naming conventions, entity definitions, data dictionaries, and lineage documentation
- Oversee data contract design between producing and consuming domains — defining SLAs, schemas, versioning, and change management protocols
- Ensure models are optimized for the target query engine — BigQuery partitioning/clustering strategies, Delta Lake Z-ordering, and Databricks Photon engine considerations
- Design reusable, domain-oriented data product patterns — encapsulating ingestion, transformation, quality, and serving logic as deployable, versioned units
- Define the data product interface contract: output ports (APIs, tables, streams), SLOs, ownership, and discoverability metadata in Unity Catalog or Dataplex
- Establish a data product taxonomy aligned to business capability domains — enabling a self-serve data mesh posture for mature clients
- Create accelerators and reference implementations that mid-level engineers can adopt — reducing bespoke build and enforcing consistency
- Collaborate with Data Science and Analytics Engineering teams to ensure feature stores and ML feature pipelines are aligned to the broader data product architecture
- Drive data governance strategy across the programme — defining policies for data classification, access control, retention, and quality thresholds
- Design the governance operating model: data stewardship roles, data ownership accountability (domain owners vs. platform owners), and escalation paths
- Define the data release sequencing strategy — prioritizing domains and data products based on business value, dependency mapping, and technical readiness
- Establish lifecycle management policies for schema evolution, deprecation, and backward compatibility — enforced through Unity Catalog or equivalent cataloguing tooling
- Implement or oversee data quality frameworks (Great Expectations, dbt tests, Databricks Delta constraints) aligned to governance thresholds
- Provide hands-on architectural oversight during foundational delivery phases (Milestone 1 and equivalent programme gates) — ensuring the build conforms to the agreed architecture and standards
- Conduct architecture reviews and code/design walkthroughs with engineering squads — identifying deviations, technical debt, and remediation paths
- Chair Architecture Review Board (ARB) sessions with client technical leadership — presenting architecture decisions, trade-offs, and risk assessments
- Define and track architecture fitness functions — measurable criteria that validate the architecture is being implemented correctly across squads
- Serve as the escalation point for cross-squad architectural decisions, integration conflicts, and technology blockers
- Lead client architecture workshops, data strategy sessions, and roadmap definition exercises at executive and technical levels
- Produce and present strategic client-facing artefacts: Data Platform Vision documents, Architecture Blueprints, Governance Frameworks, and Capability Roadmaps
- Contribute to pre-sales and bid activities — leading the data architecture strand of RFP/RFI responses, solution sizing, and pitch presentations
- Represent Valtech's data architecture capability externally — through client advisory conversations, partner events, and thought leadership content.
Must have qualifications
To be considered for this role, you must meet the following essential qualifications:
- Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or equivalent professional experience
- 10+ years of progressive experience in data architecture, data platform engineering, or enterprise BI/analytics roles
- Demonstrable experience as a lead data architect on at least two large-scale enterprise data platform programmes
- 3NF — operational and transactional layer design
- Dimensional modelling — Kimball star/snowflake, slowly changing dimensions
- Data Vault 2.0 — hubs, links, satellites, business keys
- Data mesh & domain-oriented data product design
- Architecture Decision Records (ADRs) and C4 modelling
- Data contract design — schema, SLAs, versioning
- Data catalogue & metadata management design
- Data quality framework design and governance policy
- BigQuery — advanced design, partitioning, clustering, BI Engine
- Dataflow (Apache Beam) — streaming and batch architecture
- Cloud Composer / Airflow — orchestration design
- Pub/Sub — event-driven data product patterns
- Dataplex — data cataloguing, lineage, data quality
- Vertex AI Pipelines — ML feature pipeline integration
- Cloud Storage — data lake zone design (raw/curated/serving)
- Terraform — IaC standards and landing zone design
- Databricks Lakehouse — medallion architecture, zone design
- Delta Lake — ACID, time travel, schema evolution, Z-ordering
- Unity Catalog — governance, lineage, access control, data products
- Databricks Workflows and Asset Bundles — lifecycle automation
- PySpark — advanced optimization, broadcast, AQE, dynamic pruning
- dbt on Databricks — transformation layer standards
- Databricks on GCP — cluster policy, instance pools, cost governance
- MLflow — model registry integration with data product layer
- Unity Catalog — fine-grained access, row/column security
- Dataplex — data mesh governance on GCP
- Data lineage — column-level lineage design and tooling
- GDPR, data residency, and privacy-by-design principles
- Data stewardship operating models
- Metadata standards — Dublin Core, OpenLineage, OpenMetadata
- Google Cloud Professional Data Engineer or Professional Cloud Architect certification
- Databricks Certified Professional Data Engineer or Databricks Certified Associate Developer for Apache Spark
- TOGAF, Zachman, or equivalent enterprise architecture framework certification.
Nice to have qualifications
- Azure Synapse / Microsoft Fabric — cross-cloud architecture experience
- Apache Iceberg or Apache Hudi — open table format evaluation and migration experience
- Event-driven architecture — Apache Kafka, Confluent Cloud, or Pub/Sub advanced patterns
- Generative AI integration patterns — RAG pipelines, vector stores (AlloyDB, Vertex AI Vector Search), LLM-as-data-product
- Exposure to composable commerce data models — product, pricing, inventory, order domains (commercetools, SFCC, SAP Commerce)
- Experience in luxury, retail, or FMCG verticals — multi-brand data architectures, PIM/DAM integration patterns
- OpenMetadata or Collibra — enterprise-grade data catalogue implementation
- Familiarity with Salesforce Marketing Cloud data connectors or Customer Data Platforms (CDPs)
- Google Cloud Professional Machine Learning Engineer
- CDMP (Certified Data Management Professional) — DAMA certification
- HashiCorp Terraform Associate
If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.
Commitment to reaching all kinds of people
We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.
The benefits
This is a Fulltime position based in Bengaluru.
Beyond a competitive compensation package, we offer:
- Flexibility, with remote and hybrid work options (country-dependent)
- Career advancement, with international mobility and professional development programs
- Learning and development, with access to cutting-edge tools, training and industry experts
Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.
Your application process
Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.
⚠️ Beware of recruitment fraud!
We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.
About Valtech
Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.
At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.
At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.
Are you ready to create what’s next? Join us.
Ready to apply?
Apply to Valtech
About Dialpad
Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time.
More than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights.
We’re now leading the shift to Agentic AI: intelligent agents that don’t just analyze conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time. Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do.
Visit dialpad.com to learn more.
Being a Dialer
At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more.
We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves.
We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.
Your role
Dialpad’s QA team ensures the quality and reliability of our AI-first platform across web, mobile, and backend systems.
As a QA Automation Engineer, you will be a hands-on contributor responsible for automation execution and quality ownership of specific features/modules, leveraging modern tools and AI-assisted development to improve speed and coverage.
This position requires a hybrid work arrangement, with three days in the office. The role reports to the Manager of Quality Assurance, who is located in Bangalore.
What you’ll do
- Build, execute, and maintain UI and API automated tests (Playwright/Selenium, Java/Python)
- Perform end-to-end and regression testing, ensuring release readiness
- Own QA for assigned modules, including:
- Test planning and design
- Automation coverage and execution
- Regression sign-off
- Achieve ~70–80% automation coverage with stable, reliable test suites
- Analyze failures, identify defects, and provide clear root cause insights
- Use AI tools (Copilot, Cursor, Gemini, etc.) to generate tests, debug, and improve coverage
- Validate AI/LLM-driven features (prompt/response accuracy)
- Collaborate with engineering on debugging and fix verification
- Contribute to CI/CD pipelines (GitHub Actions)
Skills you’ll bring
- 5–8 years in QA / Test Automation
- Strong experience in Java or Python + Playwright/Selenium
- Solid understanding of UI, API, functional, and regression testing
- Experience with REST APIs, Postman, and CI/CD pipelines
- Exposure to AI-assisted coding tools (or willingness to learn)
- Strong debugging, analytical, and communication skill
Nice to Have
- Experience with VoIP, contact center, or communication platforms
- Exposure to performance or reliability testing
Tech Stack
- Languages: Java, Python
- Automation: Selenium, Playwright, TestNG, BDD
- API Testing: REST Assured, Postman
- CI/CD: GitHub Actions (GHA)
- Dev Tools: Git, GitHub, Jira
Why Join Dialpad
- Work at the center of the AI transformation in business communications
- Build and ship agentic AI products that are redefining how companies operate
- Join a team where AI amplifies every employee’s impact
- Competitive salary, comprehensive benefits, and real opportunities for growth
We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential. We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection. Our exceptional culture, repeatedly recognized as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success.
Don’t meet every single requirement? If you’re excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn’t meet every qualification, we encourage you to apply.
Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.
Ready to apply?
Apply to Dialpad
Senior Software Development Engineer in Test
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From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About the Role
We’re looking for a Senior Software Development Engineer in Test with extensive industry experience to define and execute the design, development, and maintenance of Fivetran’s test automation tools and framework using reliable and scalable techniques.
As a Senior SDET, you will focus on solving complex testing difficulties by designing, developing and improving automation and reporting frameworks. You will invest in improving test stability and performance of the framework by developing innovative solutions to boost Fivetran’s testing efficiency. You will also coach Fivetran quality engineers to be the best in class automation engineers, and will continuously work with the team to ensure high standards for automation. The ideal candidate will be highly technical, detail-oriented, creative, motivated, and focused on achieving results.
This is a full-time position based out of our Bangalore office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
- Java11, JUnit5,
- Docker and Kubernetes
- AWS, GCP
- Terraform, WireMock, RestAssured
- Bazel, BuildKite
What You’ll Do
- Review requirements, specifications and technical design documents to provide meaningful, risk-focused feedback.
- Design and evolve scalable automation frameworks in Java with a strong emphasis on reliability, performance, and data correctness.
- Write high-signal test strategies for complex features and automate them across multiple environments.
- Improve CI/CD pipelines by building robust validation layers that prevent silent failures and regressions.
- Build internal tools and proof-of-concepts using AI/LLM technologies to:
- Accelerate debugging and failure triaging
- Generate high-quality test scenarios
- Detect flaky patterns or regression risks
- Improve log analysis and root-cause identification
- Enhance developer and QA productivity
- Design AI-assisted workflows that integrate seamlessly into the existing automation and release pipelines.
- Experiment with and implement agent-based systems or LLM-powered tooling that streamline development and testing processes.
- Actively measure and improve engineering impact through reliability metrics, automation efficiency, and defect prevention signals.
- Collaborate with engineering teams to drive a culture of quality ownership and automation-first thinking.
Skills We’re Looking For
- 5+ years of experience in the software industry with strong passion for quality, automation, and engineering excellence.
- Deep understanding of OOP principles and strong proficiency in Java.
- Expertise in designing scalable automation frameworks and identifying negative, edge, and high-risk scenarios.
- Strong understanding of distributed systems risks such as schema drift, idempotency failures, data inconsistencies, and race conditions.
- Hands-on experience with cloud platforms (AWS, GCP, Azure) and containerized environments (Docker, Kubernetes).
- Experience building and maintaining CI/CD pipelines with tools such as Jenkins, CircleCI, Buildkite.
- Experience working with backend automation frameworks.
- Knowledge of database testing and ETL/data pipeline validation is a strong plus.
AI & Productivity Engineering
- Demonstrated ability to leverage AI/LLM tools to significantly accelerate development, debugging, test design or automation activities.
- Experience building AI-assisted tools, workflows, or agents that integrate into engineering pipelines.
- Ability to design prompt strategies, validate LLM outputs rigorously and implement safeguards to prevent hallucinations or unsafe automation.
- Experience streamlining workflows using AI to improve measurable engineering productivity.
- Comfortable feeding, tuning and orchestrating AI agents to solve real engineering problems.
- Strong outcome orientation, measures success through impact, reliability gains and velocity improvements rather than output volume.
#LI-HYBRID #LI-VM1
Perks and Benefits
- 100% employer-paid medical insurance*
- Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days off
- RSU stock grants*
- Professional development and training opportunities
- Company virtual happy hours, free food, and fun team-building activities
- Monthly cell phone stipend
- Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*May vary by country and worker type - please reach out to your recruiter for more information
Click here to learn more about Fivetran's Benefits by Region.
We’re honored to be valued at over $5.6 billion, but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream. Read about us in Forbes.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video.
To learn more about our candidate privacy policy, you can read our statement here.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
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Sr. Enterprise Applications Developer
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WHO WE ARE:
Aviatrix® is pioneering the Cloud Native Security Fabric — the architecture the Containment Era requires. The Cloud Native Security Fabric governs every workload communication path across every cloud, every VPC, every Kubernetes cluster, and every serverless function, from a single policy plane. One rule. Universal propagation. Enforced at the workload, not at a chokepoint. Trusted by more than 500 of the world's leading enterprises. For more information, visit aviatrix.ai.
ABOUT THE ROLE: Sr. Enterprise Applications Developer
Join our Tech Ops team in Bangalore, India as a Sr. Enterprise Applications Developer. Reporting to the Manager, Enterprise Applications, you will design, develop, and maintain secure, reliable, and scalable enterprise applications that support critical business functions across Aviatrix. This role is ideal for an experienced engineer who thrives in a collaborative environment, enjoys solving technical challenges, and is eager to learn from experienced leaders.
Responsibilities
- Design, build, and deliver enterprise applications using AWS Lambda, AWS Step Functions, Node.js, Python, React, and Postgres.
- Develop and maintain integrations across internal systems and external services, ensuring reliability, scalability, and security.
- Implement features and enhancements for internal business applications, ensuring high standards of security, reliability, and performance.
- Participate in code reviews, testing, and debugging to maintain code quality and operational excellence.
- Assist in integrating cloud platforms (AWS, Azure, GCP) and serverless architectures.
- Support the development of LLM-powered applications and agents, leveraging AI tools for code generation, test automation, and architecture exploration.
- Contribute to Single Sign-On (SSO) integrations and other secure authentication solutions.
- Document technical designs, APIs, and workflows for team knowledge sharing.
- Collaborate cross-functionally with IT, security, and business stakeholders to align on system requirements and deliverables.
- Engage in regular 1:1s, feedback sessions, and career development discussions with the Manager Enterprise Applications
- Participate in technical hiring processes and team growth initiatives as needed.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 5+ years of professional software development experience.
- Hands-on experience with AWS Lambda, AWS Step Functions, Node.js, Python, React, and Postgres.
- Familiarity with cloud platforms (AWS, Azure, GCP) and serverless architectures.
- Understanding of distributed systems, API design, and application security.
- Ability to leverage AI tools in the development workflow.
- Strong communication and collaboration skills; comfortable working in cross-functional teams.
- Willingness to learn, take feedback, and grow within the team.
Preferred Qualifications
- Experience building IT applications for sales, support, or marketing functions.
- Familiarity with DevOps practices, CI/CD, and test automation
BENEFITS
US: We cover 100% of employee premiums and 88% of dependent(s) premiums for medical, dental and vision coverage, 401(k) match, short and long-term disability, life/AD&D insurance, $1,000/year education reimbursement, and a flexible vacation policy.
Outside the US: We offer a comprehensive benefits package which, (subject to regional variations) could include pension, private medical for you and dependents, generous holiday allowance, life assurance, long-term disability, annual wellbeing stipend
Your total compensation package will be based on job-related knowledge, education, certifications and location, per our aligned ranges.
About Aviatrix
Aviatrix® is the cloud network security company trusted by more than 500 of the world’s leading enterprises. As cloud infrastructures become more complex and costly, the Aviatrix Cloud Network Security platform gives companies back the power, control, security, and simplicity they need to modernize their cloud strategies. Aviatrix is the only secure networking solution built specifically for the cloud, that ensures companies are ready for AI and what’s next. Combined with the Aviatrix Certified Engineer (ACE) Program, the industry’s leading secure multicloud networking certification, Aviatrix unifies cloud, networking, and security teams and unlocks greater potential across any cloud.
WE WANT TO INCLUDE YOU
We embrace the fact that not everyone’s journey took the same route or started at the same place. If your experience doesn’t quite meet the requirements but the opportunity excites you and you believe you could be great, don’t let that hold you back from applying. Tell us what you CAN bring and what makes you special.
Aviatrix is a community where everyone's career can grow and we want to help you achieve your goals and be “your best YOU,” however that looks. If you're seeking an opportunity where you can be excited to start work every morning with enthusiastic people, make a real difference and be part of something amazing then let’s talk. We want to get to know you and how we could grow together.
Aviatrix, Inc. is an equal opportunity employer and does not make hiring decisions based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
CPRA - California Applicant Privacy Notice
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Sr. Security Engineer - Vulnerability Operations
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Our Mission:
6sense's mission is to multiply what matters: growth, retention, and efficiency. We envision a future where companies, teams and people reach their full potential.
Our People:
People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Win as One Team, Stay Curious, Do The Right Thing, Own the Outcome, and Create Belonging. Every 6sensor plays a part in defining the future of our industry-leading technology. 6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers. We want 6sense to be the best chapter of your career.
Purpose of the Job :
As members of 6sense’s Security department, the Security Engineering team protects the platform across application, infrastructure, and cloud domains. The Vulnerability Operations function ensures that vulnerabilities are identified, triaged, validated, and remediated in a consistent, timely, and risk‑based manner. Senior Security Engineers work closely with Engineering, CloudOps, Product, and GRC teams to operationalize vulnerability management processes, build automation, standardize workflows, and ensure secure-by-default practices.
Responsibilities & Accountabilities :
- Ensure vulnerability management tools (e.g., Wiz, Invicti, Rapid7, GHAS, Ox) are correctly configured for appropriate coverage and accurate detection.
- Perform hands-on triage, validation, and root cause analysis of vulnerabilities across AppSec, InfraSec, and CloudSec.
- Track and report vulnerability status against SLAs, escalating to engineering owners as needed.
- Build and maintain dashboards, filters, reports, and triage scripts to support visibility and automation.
- Assist engineering teams in reproducing and remediating vulnerabilities, providing actionable guidance.
- Support the bug bounty program operations (not ownership), including validation and coordination with engineering teams.
- Conduct security reviews and threat modeling for high-risk systems or changes.
- Participate in initiatives that holistically address systemic or multi‑domain vulnerabilities.
- Contribute to development of automated security testing pipelines for validation of fixes.
- Participate in on-call or off‑hours incident response related to critical vulnerabilities and time‑sensitive patches.
- Contribute to quarterly OKRs and security engineering roadmap initiatives.
Performance Measurement :
- Understands 6sense’s product, architecture, cloud footprint, and environment in depth.
- Takes ownership of vulnerability triage and prioritization while escalating where required.
- Proactively identifies and escalates AI/ML‑related vulnerabilities or misconfigurations in systems integrating LLMs or automated decisioning.
- Meets tight deadlines and SLAs for vulnerability response and validation.
- Maintains accurate and up-to-date triage scripts, documentation, dashboards, and workflows.
- Participates in weekly 1:1s and skip levels; provides clear progress updates.
- Supports security engineers and development teams with accurate, actionable analysis.
- Effectively participates in incident response and post‑incident remediation.
Educational and Experience Requirements :
- 5+ years of experience in security engineering across vulnerability management, AppSec, CloudSec, or InfraSec.
- Experience with vulnerability tools (e.g., Wiz, Rapid7, Invicti, GHAS, SAST/DAST) and triage workflows.
- Understanding of cloud security (AWS preferred) and modern microservices architectures.
- Experience identifying and mitigating AI/ML‑related security risks, including model abuse, prompt‑injection vulnerabilities, and risks introduced by LLM‑based features.
- Experience with scripting/automation (Python, Bash, JavaScript, etc.).
- Experience working directly with engineering teams to address vulnerabilities.
- Familiarity with frameworks such as OWASP, NIST, CIS Benchmarks, MITRE ATT&CK.
- Experience with IaC security (Terraform, CloudFormation, Pulumi) preferred but not required.
Preferred Qualifications :
- Bachelor's degree in a related field
- Relevant industry certifications, such as AWS, CNCF, and GIAC are highly desirable
Competencies and Behaviors :
- Establishes strong credibility with engineering partners.
- Maintains a professional, outcome-focused demeanor.
- Advocates for vulnerability and security best practices.
- Works independently on complex triage and analysis tasks.
- Manages competing priorities effectively, escalating when appropriate.
- Communicates clearly across technical and non-technical audiences.
- Maintains accuracy, attention to detail, and documentation hygiene.
Our Benefits:
Full-time employees can take advantage of health coverage, paid parental leave, generous paid time-off and holidays, quarterly self-care days off, and stock options. We’ll make sure you have the equipment and support you need to work and connect with your teams, at home or in one of our offices.
We have a growth mindset culture that is represented in all that we do, from onboarding through to numerous learning and development initiatives including access to our LinkedIn Learning platform. Employee well-being is also top of mind for us. We host quarterly wellness education sessions to encourage self care and personal growth. From wellness days to ERG-hosted events, we celebrate and energize all 6sense employees and their backgrounds.
Equal Opportunity Employer:
6sense is an Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to jobs@6sense.com.
We are aware of recruiting impersonation attempts that are not affiliated with 6sense in any way. All email communications from 6sense will originate from the @6sense.com domain. We will not initially contact you via text message and will never request payments. If you are uncertain whether you have been contacted by an official 6sense employee, reach out to jobs@6sense.com
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Staff Engineer - Software Development
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Who We Are:
Aviatrix® is pioneering the Cloud Native Security Fabric — the architecture the Containment Era requires. The Cloud Native Security Fabric governs every workload communication path across every cloud, every VPC, every Kubernetes cluster, and every serverless function, from a single policy plane. One rule. Universal propagation. Enforced at the workload, not at a chokepoint. Trusted by more than 500 of the world's leading enterprises. For more information, visit aviatrix.ai.
About the Role - Staff Engineer – Software Development.
Our SaaS platform serves enterprise customers with a reliable, secure, and scalable product built on modern microservices, event-driven data pipelines, and increasingly, AI-powered capabilities.
We are seeking a Staff Engineer – Software Engineering to join our SaaS Platform team. Staff Engineers at Aviatrix operate at the intersection of technical depth and cross-team influence. You will drive the design and delivery of complex backend systems — including AI-augmented data pipelines and agentic AI integrations — while raising the technical bar across the organization. This role is ideal for an engineer who is deeply technical, thrives on solving ambiguous problems, and is ready to shape both the platform’s architecture and the team’s engineering culture.
Position Responsibilities
Architecture & Technical Leadership
- Lead the architecture and delivery of complex backend platform features spanning multiple microservices; break down large, ambiguous projects into well-scoped sub-projects and guide senior engineers through execution.
- Define technical standards, patterns, and best practices for backend microservices development across the team — covering API design, service communication, data modeling, and reliability.
- Own the architectural design of AI-augmented data pipelines: integrating model inference, agentic workflows, and LLM-based processing steps into streaming and batch data flows on AWS.
- Evaluate and recommend agentic AI frameworks and tooling (such as LangChain, LlamaIndex, Amazon Bedrock Agents, or equivalent) for use in platform components; establish integration patterns the broader team can follow.
- Write and present comprehensive design documents and technical proposals that articulate complex problems, solution trade-offs, and long-term platform direction.
- Drive improvements to Aviatrix’s product and security posture, including contributions outside your immediate project area.
AI-Augmented Data Pipelines
- Design and implement data pipelines that incorporate AI/ML model inference as a first-class processing step, enabling intelligent enrichment, classification, anomaly detection, and summarization of platform telemetry and events.
- Architect agentic AI workflows that operate autonomously within data pipelines — orchestrating tool use, retrieval-augmented generation (RAG), and multi-step reasoning to drive platform automation.
- Integrate large language models (LLMs) and foundation models via managed APIs (Amazon Bedrock, OpenAI, Anthropic) and self-hosted inference endpoints into backend services and pipeline stages.
- Build robust prompt engineering and context management layers that make AI model calls reliable, observable, cost-efficient, and safe in a production SaaS context.
- Establish guardrails, evaluation frameworks, and monitoring strategies for AI components in pipelines — including output validation, hallucination detection, latency tracking, and cost controls.
- Collaborate with data and ML teams to define feature stores, embedding pipelines, vector database integrations (e.g., Amazon OpenSearch, pgvector), and model lifecycle management practices.
Backend & Microservices Engineering
- Design and implement high-performance, production-grade microservices in Golang using gRPC and REST; ensure services are secure, observable, and operationally resilient.
- Drive the design of event-driven architectures using AWS data pipeline services — Kinesis, MSK (Kafka), Glue, Step Functions, and EMR — to support real-time and batch processing at scale.
- Enforce strong security and networking practices: AWS VPC architecture, IAM least-privilege access, PrivateLink for private service connectivity, and encryption in transit and at rest.
- Lead platform-wide reliability initiatives: SLO definition, distributed tracing, structured logging, alerting, and chaos engineering practices.
- Conduct rigorous design and code reviews; set a high bar for correctness, testability, and operational readiness.
Team Influence & Collaboration
- Serve as a technical anchor for the team — raising engineering quality through mentorship, design guidance, and a culture of rigorous technical thinking.
- Collaborate with product management and leadership to align technical roadmap investments with business priorities and customer needs.
- Partner with senior engineers across teams to drive consistency in platform architecture and avoid redundant solutions.
- Provide expert guidance during escalations and critical production incidents; drive root-cause analysis and long-term remediation.
- Contribute to recruiting and interviewing; help define bar-raising standards for backend and AI engineering roles.
Requirements
Experience & Education
- 7–10+ years of professional software engineering experience, with a strong track record of technical leadership on backend systems.
- Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
- Demonstrated experience designing and operating SaaS or PaaS products at scale, with multi-tenancy and high-availability requirements.
- Strong foundation in data structures, algorithms, operating systems, and distributed systems.
- Experience working in fast-paced, high-growth technology companies with geographically distributed teams.
Backend & Microservices
- Strong proficiency in Golang; experience building production-grade gRPC-based microservices.
- Deep understanding of distributed systems: consistency, fault tolerance, service discovery, back-pressure, and distributed tracing.
- Expertise in RESTful and gRPC API design, with a strong sense of API contracts, versioning, and backward compatibility.
- Experience building event-driven architectures with message queue and streaming systems (Kafka/MSK, Kinesis, SQS/SNS).
- Strong understanding of elegant and robust system design; ability to evaluate and articulate key engineering trade-offs.
Agentic AI & LLM Integration
- Hands-on experience integrating large language models (LLMs) and foundation models into production backend systems via managed APIs or self-hosted inference.
- Practical knowledge of agentic AI concepts: tool use, autonomous multi-step reasoning, agent orchestration, and human-in-the-loop patterns.
- Experience with at least one agentic AI framework or platform (e.g., LangChain, LlamaIndex, Amazon Bedrock Agents, AutoGen, or similar).
- Familiarity with retrieval-augmented generation (RAG): embedding models, vector databases (OpenSearch, pgvector, Pinecone), and context retrieval strategies.
- Understanding of prompt engineering principles: structured prompts, few-shot examples, chain-of-thought reasoning, and output validation.
- Experience designing AI guardrails and evaluation pipelines to ensure reliability, safety, and cost-efficiency of LLM components in production.
Data Pipelines
- Proven experience designing and operating large-scale data pipelines for real-time streaming and batch workloads.
- Strong working knowledge of AWS data pipeline services: Amazon Kinesis (Data Streams & Firehose), AWS Glue, Amazon MSK, AWS Step Functions, and Amazon EMR.
- Ability to embed AI/ML inference steps — including LLM calls, embedding generation, and model scoring — as processing stages within data pipelines.
- Familiarity with pipeline observability: data lineage, quality monitoring, SLA management, and alerting.
- Experience with schema management, data quality enforcement, and data catalog practices (e.g., AWS Glue Data Catalog).
AWS & Cloud Infrastructure
- Deep experience with AWS as a primary cloud platform; strong understanding of high-availability, multi-AZ deployment patterns.
- Solid knowledge of AWS networking and security: VPC architecture, IAM roles and policies, AWS PrivateLink, Transit Gateway, and security groups.
- Proficiency with Kubernetes (EKS), including workload scheduling, RBAC, networking (CNI), and cluster operations.
- Experience with infrastructure-as-code (Terraform, CDK, or CloudFormation) and CI/CD pipelines for cloud-native backend services.
- Familiarity with Amazon Bedrock or equivalent managed AI/ML platforms for model deployment and inference at scale.
Nice to Have
- Experience fine-tuning or adapting foundation models for domain-specific tasks.
- Familiarity with ML frameworks (PyTorch, HuggingFace Transformers) and model serving infrastructure (SageMaker, TorchServe).
- Background in network security, cloud networking, or SASE/SD-WAN technologies.
- Experience with multi-cloud environments (Azure, GCP) alongside AWS.
- Contributions to open-source AI, data engineering, or cloud-native projects.
Interpersonal & Communication
- Excellent written and verbal communication; able to produce clear technical documents and present confidently to engineering and product leadership.
- Demonstrated ability to lead through influence, build consensus across teams, and drive outcomes without direct authority.
- Team player who thrives in collaborative, geographically distributed environments and startup-paced cultures.
BENEFITS
US: We cover 100% of employee premiums and 88% of dependent(s) premiums for medical, dental and vision coverage, 401(k) match, short and long-term disability, life/AD&D insurance, $1,000/year education reimbursement, and a flexible vacation policy.
Outside the US: We offer a comprehensive benefits package which, (subject to regional variations) could include pension, private medical for you and dependents, generous holiday allowance, life assurance, long-term disability, annual wellbeing stipend
Your total compensation package will be based on job-related knowledge, education, certifications and location, per our aligned ranges.
About Aviatrix
Aviatrix® is the cloud network security company trusted by more than 500 of the world’s leading enterprises. As cloud infrastructures become more complex and costly, the Aviatrix Cloud Network Security platform gives companies back the power, control, security, and simplicity they need to modernize their cloud strategies. Aviatrix is the only secure networking solution built specifically for the cloud, that ensures companies are ready for AI and what’s next. Combined with the Aviatrix Certified Engineer (ACE) Program, the industry’s leading secure multicloud networking certification, Aviatrix unifies cloud, networking, and security teams and unlocks greater potential across any cloud.
WE WANT TO INCLUDE YOU
We embrace the fact that not everyone’s journey took the same route or started at the same place. If your experience doesn’t quite meet the requirements but the opportunity excites you and you believe you could be great, don’t let that hold you back from applying. Tell us what you CAN bring and what makes you special.
Aviatrix is a community where everyone's career can grow and we want to help you achieve your goals and be “your best YOU,” however that looks. If you're seeking an opportunity where you can be excited to start work every morning with enthusiastic people, make a real difference and be part of something amazing then let’s talk. We want to get to know you and how we could grow together.
Aviatrix, Inc. is an equal opportunity employer and does not make hiring decisions based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
CPRA - California Applicant Privacy Notice
Ready to apply?
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Sr.MTS - Software Development
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Who We Are:
Aviatrix® is pioneering the Cloud Native Security Fabric — the architecture the Containment Era requires. The Cloud Native Security Fabric governs every workload communication path across every cloud, every VPC, every Kubernetes cluster, and every serverless function, from a single policy plane. One rule. Universal propagation. Enforced at the workload, not at a chokepoint. Trusted by more than 500 of the world's leading enterprises. For more information, visit aviatrix.ai.
About the Role – Senior Member of Technical Staff – Software Development
Our SaaS platform serves enterprise customers with a reliable, secure, and scalable product built on modern microservices, event-driven data pipelines, and AI-powered capabilities.We are seeking a Senior Member of Technical Staff (Sr MTS) – Software Development to join our SaaS Platform team. This role is ideal for a backend engineer who has moved beyond writing individual features and is ready to take meaningful ownership of platform components, contribute to technical design, and start influencing the direction of the team. You will work alongside Staff and Principal Engineers on building microservices, data pipelines, and AI-integrated backend systems on AWS — developing both your technical depth and your ability to lead within a team.
Position Responsibilities:
Feature Development & Ownership
- Take end-to-end ownership of backend features and services — from requirements and design through implementation, testing, deployment, and monitoring.
- Design and implement production-grade microservices in Golang, following team standards for gRPC and RESTful API patterns.
- Contribute meaningfully to technical design discussions; author design documents for features and components you own, incorporating feedback from senior engineers.
- Write well-tested, maintainable code; champion testing practices including unit, integration, and end-to-end tests within your feature area.
- Participate in on-call rotations; debug and resolve issues in distributed backend services and contribute to post-incident reviews.
Data Pipelines & AI Integration
- Build and extend data pipeline components that process, enrich, and route platform telemetry and events using AWS streaming and batch services (Kinesis, MSK, Glue, Step Functions).
- Integrate AI and LLM capabilities into backend services and pipeline stages — including model inference calls, output parsing, and result handling — under the guidance of Staff Engineers.
- Implement agentic AI workflow components such as tool-use handlers, retrieval-augmented generation (RAG) steps, and prompt orchestration layers as part of broader pipeline designs.
- Contribute to the reliability and correctness of AI pipeline components through thorough testing, output validation, and adherence to team guardrail standards.
Platform Reliability & Operations
- Ensure backend services you build are observable from day one: structured logging, metrics, distributed tracing, and alerting are treated as part of the definition of done.
- Apply AWS networking and security best practices in the services you build: secure IAM roles, VPC-aware service communication, and encryption in transit and at rest.
- Proactively identify and address reliability gaps, performance bottlenecks, and technical debt in platform components you own.
- Support deployment of services on AWS using team CI/CD pipelines and infrastructure-as-code tooling.
Collaboration & Team Contribution
- Collaborate effectively with Staff and Principal Engineers, product managers, and peers across a geographically distributed team.
- Conduct thorough code reviews and provide constructive, actionable feedback; help MTS engineers grow through mentorship on your area of expertise.
- Document APIs, service behavior, data flows, and runbooks clearly so teammates can understand, operate, and evolve your work.
- Participate actively in planning, estimation, and sprint ceremonies; raise technical risks and dependencies early.
Requirements
Experience & Education
- 3+ years of professional software engineering experience in backend development.
- Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
- Solid foundation in computer science fundamentals: data structures, algorithms, and operating systems.
- Demonstrated experience owning and shipping backend features or services in a production cloud environment.
- Experience working in collaborative, agile engineering teams; comfortable operating in fast-paced, high-growth environments.
Backend & Microservices
- Proficiency in Golang or a comparable strongly typed backend language; willingness to work primarily in Golang.
- Working understanding of microservices architecture: service boundaries, inter-service communication via REST and gRPC, and the trade-offs of distributed systems.
- Experience designing and implementing APIs with attention to correctness, reliability, and ease of use by other services.
- Familiarity with event-driven patterns and messaging systems such as Kafka, Kinesis, or SQS/SNS.
- Strong testing practices: unit, integration, and contract testing for backend services.
Agentic AI & LLM Integration
- Working knowledge of large language models (LLMs) and how they are integrated into backend systems via API calls (e.g., Amazon Bedrock, OpenAI, or Anthropic APIs).
- Familiarity with agentic AI concepts: tool use, multi-step reasoning, and agent orchestration frameworks such as LangChain, LlamaIndex, or Amazon Bedrock Agents.
- Ability to implement prompt templates, manage context windows, and handle model outputs reliably within backend service logic.
- Understanding of retrieval-augmented generation (RAG) patterns: embedding generation, vector store queries, and context injection into prompts.
- Awareness of production considerations for AI components: output validation, error handling, latency management, and cost awareness.
Data Pipelines
- Practical experience building or contributing to data pipelines for real-time or batch processing workloads.
- Familiarity with AWS data pipeline services: Amazon Kinesis, AWS Glue, Amazon MSK (Kafka), AWS Step Functions, or Amazon EMR.
- Understanding of how to embed AI/ML model inference calls as processing steps within a data pipeline.
- Ability to add pipeline observability: tracking throughput, latency, error rates, and data quality metrics.
AWS & Cloud Infrastructure
- Hands-on experience deploying and operating backend services on AWS; familiarity with core services including EC2, ECS/EKS, S3, RDS, and SQS/SNS.
- Basic understanding of AWS networking and security: VPC, security groups, IAM roles and policies, and encrypted communications.
- Experience with containerization (Docker) and deploying services in container-based environments.
- Comfort working with CI/CD pipelines, Git-based workflows, and infrastructure-as-code tooling (Terraform or AWS CDK is a plus).
Nice to Have
- Experience with Kubernetes (EKS) for container orchestration.
- Hands-on use of Amazon Bedrock or equivalent managed AI platforms for LLM inference.
- Experience with vector databases or embedding stores (OpenSearch, pgvector, Pinecone).
- Exposure to AWS managed data services such as Amazon Redshift, DynamoDB, or Aurora.
- Background in network security, cloud networking, or multi-cloud environments.
- Interest in or exposure to ML model lifecycle management and MLOps practices.
Interpersonal & Communication
- Clear written and verbal communication; able to write design documents, articulate technical decisions, and give constructive code review feedback.
- Collaborative team player who works well in cross-functional, geographically distributed teams.
- A growth mindset — eager to deepen expertise, take on new challenges, and mentor peers as you develop.
BENEFITS
US: We cover 100% of employee premiums and 88% of dependent(s) premiums for medical, dental and vision coverage, 401(k) match, short and long-term disability, life/AD&D insurance, $1,000/year education reimbursement, and a flexible vacation policy.
Outside the US: We offer a comprehensive benefits package which, (subject to regional variations) could include pension, private medical for you and dependents, generous holiday allowance, life assurance, long-term disability, annual wellbeing stipend
Your total compensation package will be based on job-related knowledge, education, certifications and location, per our aligned ranges.
About Aviatrix
Aviatrix® is the cloud network security company trusted by more than 500 of the world’s leading enterprises. As cloud infrastructures become more complex and costly, the Aviatrix Cloud Network Security platform gives companies back the power, control, security, and simplicity they need to modernize their cloud strategies. Aviatrix is the only secure networking solution built specifically for the cloud, that ensures companies are ready for AI and what’s next. Combined with the Aviatrix Certified Engineer (ACE) Program, the industry’s leading secure multicloud networking certification, Aviatrix unifies cloud, networking, and security teams and unlocks greater potential across any cloud.
WE WANT TO INCLUDE YOU
We embrace the fact that not everyone’s journey took the same route or started at the same place. If your experience doesn’t quite meet the requirements but the opportunity excites you and you believe you could be great, don’t let that hold you back from applying. Tell us what you CAN bring and what makes you special.
Aviatrix is a community where everyone's career can grow and we want to help you achieve your goals and be “your best YOU,” however that looks. If you're seeking an opportunity where you can be excited to start work every morning with enthusiastic people, make a real difference and be part of something amazing then let’s talk. We want to get to know you and how we could grow together.
Aviatrix, Inc. is an equal opportunity employer and does not make hiring decisions based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
CPRA - California Applicant Privacy Notice
Ready to apply?
Apply to Aviatrix
WHO WE ARE:
Aviatrix® is pioneering the Cloud Native Security Fabric — the architecture the Containment Era requires. The Cloud Native Security Fabric governs every workload communication path across every cloud, every VPC, every Kubernetes cluster, and every serverless function, from a single policy plane. One rule. Universal propagation. Enforced at the workload, not at a chokepoint. Trusted by more than 500 of the world's leading enterprises. For more information, visit aviatrix.ai.
About the Role: Distinguished Engineer
Overview
We are seeking a Cloud AI Network Security Developer to architect and deliver advanced AI-driven network security capabilities across multi-cloud environments.
You’ll lead the design of Python/Go-based distributed systems that power intelligent firewalls, real-time telemetry analytics, and LLM-integrated threat automation.
This role combines deep knowledge of cloud networking, firewall technologies, data engineering, and AI model integration to create secure, adaptive, and self-learning security systems.
Key Responsibilities
- Lead the architecture, design, and development of advanced cloud networking solutions.
- Mentor and provide technical guidance to engineering teams, fostering a culture of innovation and excellence.
- Collaborate with cross-functional teams to develop and implement strategies that enhance cloud network performance, scalability, and security.
- Drive the adoption of new technologies and best practices in cloud networking.
- Conduct in-depth research and analysis to identify emerging trends and technologies in cloud networking.
- Present technical vision and roadmap to stakeholders, ensuring alignment with business goals.
- Contribute to the development of industry standards and participate in technical conferences and committees.
Required Skills
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
- 15+ years of experience in software development and cloud networking.
- Deep understanding of cloud networking architectures, protocols, and technologies
- Proven experience in leading and mentoring engineering teams.
- Strong problem-solving skills and the ability to think strategically.
- Excellent communication and presentation skills.
- Demonstrated ability to drive innovation and influence industry standards.
- Solid experience in Kubernetes, microservices architecture, and observability systems (Prometheus, ELK, Grafana).
- Familiarity with security frameworks (Zero Trust, NIST CSF, CIS Benchmarks).
- Should have architected security and networking solutions, delivering key innovations.
- Patent holders in cloud networking or security are preferred.
- Must be hands-on, serve as a subject matter expert (SME), and provide both technical and thought leadership to a global team of engineers.
- Should have led large-scale initiatives across geographies within the company, including hackathons, idea generation, and driving successful implementation and delivery.
- Must possess up-to-date, hands-on expertise in AI technologies and their practical implementation.
- Should be able to code, debug, and provide effective fixes or solutions as needed.
Nice to Have
- Experience in LLM application design (RAG, LangChain, vector databases).
- Expertise with network telemetry analytics and visualization systems.
- Contributions to open-source network security or AI frameworks.
- Knowledge of distributed systems scaling, resilient cloud design, and multi-cloud policy federation.
- Certifications such as AWS Security Specialty, GCP Cloud Security Engineer, CISSP, or CKA.
BENEFITS
US: We cover 100% of employee premiums and 88% of dependent(s) premiums for medical, dental and vision coverage, 401(k) match, short and long-term disability, life/AD&D insurance, $1,000/year education reimbursement, and a flexible vacation policy.
Outside the US: We offer a comprehensive benefits package which, (subject to regional variations) could include pension, private medical for you and dependents, generous holiday allowance, life assurance, long-term disability, annual wellbeing stipend
Your total compensation package will be based on job-related knowledge, education, certifications and location, per our aligned ranges.
About Aviatrix
Aviatrix® is the cloud network security company trusted by more than 500 of the world’s leading enterprises. As cloud infrastructures become more complex and costly, the Aviatrix Cloud Network Security platform gives companies back the power, control, security, and simplicity they need to modernize their cloud strategies. Aviatrix is the only secure networking solution built specifically for the cloud, that ensures companies are ready for AI and what’s next. Combined with the Aviatrix Certified Engineer (ACE) Program, the industry’s leading secure multicloud networking certification, Aviatrix unifies cloud, networking, and security teams and unlocks greater potential across any cloud.
WE WANT TO INCLUDE YOU
We embrace the fact that not everyone’s journey took the same route or started at the same place. If your experience doesn’t quite meet the requirements but the opportunity excites you and you believe you could be great, don’t let that hold you back from applying. Tell us what you CAN bring and what makes you special.
Aviatrix is a community where everyone's career can grow and we want to help you achieve your goals and be “your best YOU,” however that looks. If you're seeking an opportunity where you can be excited to start work every morning with enthusiastic people, make a real difference and be part of something amazing then let’s talk. We want to get to know you and how we could grow together.
Aviatrix, Inc. is an equal opportunity employer and does not make hiring decisions based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
CPRA - California Applicant Privacy Notice
Ready to apply?
Apply to Aviatrix
Senior AI Engineer
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About Us
With electric vehicles expected to be nearly 30% of new vehicle sales by 2025 and more than 50% by 2040, electric mobility is becoming a reality. ChargePoint (NYSE: CHPT) is at the center of this revolution, powering one of the world’s leading EV charging networks and a comprehensive set of hardware, software and mobile solutions for every charging need across North America and Europe. We bring together drivers, businesses, automakers, policymakers, utilities and other stakeholders to make e-mobility a global reality.
Since our founding in 2007, ChargePoint has focused solely on making the transition to electric easy for businesses, fleets and drivers. ChargePoint offers a once-in-a-lifetime opportunity to create an all-electric future and a trillion-dollar market.
At ChargePoint, we foster a positive and productive work environment by committing to live our values of Be Courageous, Charge Together, Love our Customers, Operate with Openness, and Relentlessly Pursue Awesome. These values guide how we show up every day, align, and work together to build a brighter future for all of us.
Join the team that is building the EV charging industry and make your mark on how people and goods will get everywhere they need to go, in any context, for generations to come.
Reports To
Director, NOC Delivery & Automation
What You Will Be Doing
- Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
- You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
- Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.
What You Will Bring to ChargePoint
- Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
- Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
- Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
- Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
- Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
- Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
- Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
- Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
- Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)
Requirements
- 6+ years of software engineering experience with 4+ years focused on AI/ML systems in production
- Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
- Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
- Background in computer vision, image processing, or visual transformer architectures
- Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
- Experience working with massive datasets (50TB+) and building scalable data pipelines
- Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
- Familiarity with RLHF-style preference tuning and model alignment techniques
- Experience with observability and monitoring stacks including metrics, logging, and tracing
- Certifications in Generative AI, Agentic AI, or related specialization.
Location
Bangalore, India
We are committed to an inclusive and diverse team. ChargePoint is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.
If there is a match between your experiences/skills and the Company needs, we will contact you directly.
ChargePoint is committed to fostering an inclusive workplace that welcomes and supports all qualified individuals. In alignment with this commitment, we ensure that persons with disabilities are provided with reasonable accommodations throughout the employment process.
If you need a reasonable accommodation to participate in the application or interview process, to perform essential job functions, or to access any other benefits and privileges of employment, please contact us at accommodations@chargepoint.com.
ChargePoint is an equal opportunity employer.
Applicants only - Recruiting agencies do not contact.
Ready to apply?
Apply to ChargePoint
Senior AI Engineer
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About Us
With electric vehicles expected to be nearly 30% of new vehicle sales by 2025 and more than 50% by 2040, electric mobility is becoming a reality. ChargePoint (NYSE: CHPT) is at the center of this revolution, powering one of the world’s leading EV charging networks and a comprehensive set of hardware, software and mobile solutions for every charging need across North America and Europe. We bring together drivers, businesses, automakers, policymakers, utilities and other stakeholders to make e-mobility a global reality.
Since our founding in 2007, ChargePoint has focused solely on making the transition to electric easy for businesses, fleets and drivers. ChargePoint offers a once-in-a-lifetime opportunity to create an all-electric future and a trillion-dollar market.
At ChargePoint, we foster a positive and productive work environment by committing to live our values of Be Courageous, Charge Together, Love our Customers, Operate with Openness, and Relentlessly Pursue Awesome. These values guide how we show up every day, align, and work together to build a brighter future for all of us.
Join the team that is building the EV charging industry and make your mark on how people and goods will get everywhere they need to go, in any context, for generations to come.
Reports To
Director, NOC Delivery & Automation
What You Will Be Doing
- Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
- You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
- Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.
What You Will Bring to ChargePoint
- Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
- Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
- Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
- Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
- Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
- Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
- Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
- Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
- Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)
Requirements
- 8+ years of software engineering experience with 4+ years focused on AI/ML systems in production
- Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
- Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
- Background in computer vision, image processing, or visual transformer architectures
- Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
- Experience working with massive datasets (50TB+) and building scalable data pipelines
- Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
- Familiarity with RLHF-style preference tuning and model alignment techniques
- Experience with observability and monitoring stacks including metrics, logging, and tracing
- Certifications in Generative AI, Agentic AI, or related specialization.
Location
Bangalore, India
We are committed to an inclusive and diverse team. ChargePoint is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.
If there is a match between your experiences/skills and the Company needs, we will contact you directly.
ChargePoint is committed to fostering an inclusive workplace that welcomes and supports all qualified individuals. In alignment with this commitment, we ensure that persons with disabilities are provided with reasonable accommodations throughout the employment process.
If you need a reasonable accommodation to participate in the application or interview process, to perform essential job functions, or to access any other benefits and privileges of employment, please contact us at accommodations@chargepoint.com.
ChargePoint is an equal opportunity employer.
Applicants only - Recruiting agencies do not contact.
Ready to apply?
Apply to ChargePoint
Senior Machine Learning Engineer
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What Cognite is: Relentless to achieve
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.
Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.
About the Opportunity
We are building the next generation of contextual AI for Industrial Operations. Our team focuses on transforming unstructured, complex industrial data—ranging from technical manuals to complex piping and instrumentation diagrams (P&IDs)—into structured, actionable intelligence. We leverage state-of-the-art Deep Learning, Generative AI, and Computer Vision to drive efficiency, safety, and operational excellence.
About the Role
As a Senior Machine Learning Engineer, you will be the engine of our contextualization initiatives, taking independent ownership of complex ML features from conception to production. You will bridge the gap between data science and software engineering, building the models and the surrounding infrastructure that parse complex industrial documents, extract multimodal entities, and interpret intricate engineering diagrams.
To be clear: this is an engineering-first role. We are not just looking for researchers to build isolated models; we need builders who write production-grade code, build robust APIs, and solve complex infrastructure problems. You will treat ML models as software components integrated into a highly scalable archite
How you’ll demonstrate Ownership- System-minded, focused on maintainability, rigorous testing, and automated pipelines for reliable ML production.
- Thrives in ambiguity, independently defining the technical path, selecting tools judiciously, and driving solutions to completion.
- Elevates team code quality through constructive reviews and informal mentorship, bridging the gap between research and production
The Impact you bring to Cognite
Key Responsibilities
- Take product requirements and independently design, train, test, and deploy ML models (e.g., NLP, Vision-Language Models) for document parsing, layout analysis, and entity matching.
- Write high-quality, scalable production code (Python). Wrap your ML models into robust RESTful or gRPC APIs and integrate them seamlessly into existing industrial master data systems and workflows.
- Implement and maintain CI/CD pipelines for your models. Navigate complex deployment environments, manage containerized applications (Docker/Kubernetes), and optimize inference bottlenecks.
- Work with Principal engineers to translate high-level system architectures into concrete, scalable data pipelines and production-ready microservices.
- Design automated testing for ML pipelines. Monitor deployed models in production for data drift, latency, and accuracy, proactively implementing retraining strategies.
- Collaborate effectively with product managers to define ML capabilities. Provide code reviews and informal technical mentorship to engineers.
Required Skills and Qualifications
- Bachelor’s or Master's degree in Computer Science, Data Science, Software Engineering, or a related field.
- 6–10 years of industry experience in software engineering with a strong focus on machine learning, MLOps, and API development.
- Strong programming skills in Python with experience using backend web frameworks (e.g., FastAPI, Flask, Django) to serve models.
- Solid expertise in frameworks like PyTorch, TensorFlow, Hugging Face Transformers, or LangChain.
- Hands-on experience with containerization (Docker, Kubernetes), Linux environments, CI/CD tools (GitHub Actions, Jenkins), and deploying models on cloud platforms (AWS, Azure, or GCP).
- Solid understanding of software architecture, data structures, and algorithms to ensure performant code.
- Hands-on experience with distributed data processing frameworks (e.g., Apache Spark, Ray, Dask) and orchestrating complex data workflows (e.g., Apache Airflow, Dagster, Prefect).
What Sets your Role Apart
- Independently define the technical ML/SWE approach for ambiguous feature requests and deliver to production.
- Recognize the model is a small part of the solution; expertly manage aspects like API rate limiting, asynchronous processing, and robust data routing around ML components.
- Possess hands-on experience maintaining production ML models and designing resilient systems against poor data quality..
Preferred Qualifications
- Proven experience fine-tuning and deploying multimodal models for visual data and engineering diagrams in live environments.
- Built robust, production-grade RAG pipelines, expertly utilizing Vector/Graph Databases for high-accuracy entity retrieval.
- Familiar with orchestrating multi-step reasoning using frameworks like LangGraph or AutoGen for real-world problem-solving.
- Strong understanding of advanced OCR, layout parsing, and techniques for consistent structured JSON extraction from complex industrial PDFs. Manufacturing/OT dataset experience preferred.
- Ability to optimize LLMs/VLMs for inference latency (quantization, TensorRT, vLLM), potentially in constrained, on-premises environments.
- Experience with modern data lake/lakehouse architectures (Delta Lake, Iceberg, Databricks) for efficient querying and preprocessing of petabyte-scale unstructured data for LLM/VLM training and RAG.
- Impact 2025
- Cognite's Industrial AI: Moonshot
- We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.
Ready to apply?
Apply to Cognite - AI for Industry
AI Builder
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Razorpay is one of India’s leading full-stack financial technology companies, powering the way businesses move, manage, and grow money. Founded in 2014 by Harshil Mathur and Shashank Kumar with a simple vision - to simplify payments for Indian businesses - we’ve since grown into a fintech powerhouse driving India’s digital payment revolution.
Razorpay powers millions of businesses with a smarter, scalable stack that goes beyond transactions to help them truly build and grow.
From building AI-native agentic payments, to AI-assisted fraud detection and real-time risk intelligence to automated reconciliation, smart payouts, and predictive financial insights, we are embedding intelligence across our stack to make money movement faster, safer, and more efficient. In close collaboration with ecosystem partners - including banks, networks, regulators - we are pioneering industry-first solutions that are shaping the next era of fintech
Across India, Singapore and Malaysia, our products span everything from seamless checkouts to payroll automation - powering a fintech ecosystem that’s redefining how money moves across Asia.
Today, that ecosystem supports everyone from early-stage startups to some of India’s largest enterprises, enabling them to accept, process, and disburse payments at scale while expanding into new ways of managing money more efficiently.
Our scale speaks volumes: Razorpay processes $180+ billion in annualized transactions, powering leading businesses like Airbnb, Facebook, WhatsApp, Airtel, CRED, BookmyShow, Zomato, Swiggy, Lenskart, Mirae Asset Capital markets, Indian Oil, National Pension Scheme - and over 100 of India’s unicorns. With strong roots in India and growing operations in Southeast Asia, we are shaping the next chapter of financial technology across the region.
We are backed by global investors including GIC, Peak XV Partners (formerly Sequoia Capital India & SEA), Tiger Global, Ribbit Capital, Matrix Partners, MasterCard, and Salesforce Ventures, having raised over $740 million to date. Strategic acquisitions - including Ezetap (POS and offline payments), Curlec (Malaysia expansion), BillMe (digital invoicing), and POP (rewards-first UPI) - along with earlier moves in fraud prevention, payroll, and lending, have further strengthened our platform and widened our footprint across Asia.
But what truly sets Razorpay apart is our culture. At Razorpay, ownership is our oxygen - you own what you build, with no micromanagement or red tape, just the runway to make your ideas fly. Learning is a lifestyle - if you’re curious, you’ll feel at home here. People > Pedigree - we hire for attitude, hustle, and hunger more than degrees. Transparency thrives over titles - this is where interns question CXOs and CXOs say “thank you.” Guided by our values of Customer First, Autonomy & Ownership, Agility with Integrity, Transparency, Challenging the status quo and a strong belief that Razorpay grows with Razors, you’ll be part of a 3000+ strong team building not just products, but the financial infrastructure of the future.
We’re hiring someone who does both — and does both at speed.
This role sits inside the Central AI Initiatives team within the Marketing Team. You will own the full loop: identify a high-impact business problem, conceive the AI-powered solution, build the production system, ship it, and own the outcome — as a single person. The problems change every few weeks as the company’s priorities shift. One month you’re building a multi-agent system for merchant risk detection. The next, you’re deploying an ops copilot that processes 20,000+ events a day. What stays constant is the expectation that you close the loop end-to-end — from a messy business brief to a live system with metrics moving — in days, not quarters. This is not a research role. It is not a PM role. It is not a data science role. It is a builder role that requires all three — simultaneously.
You Know Who You Are You have deep expertise across the full building journey:
1. Decompose business problems from first principles. When a messy brief lands, you break it into data, models, integrations, automations, and human touchpoints — and make the right call on what to build vs. buy vs. defer.
2. Design and build the full system yourself. Architecture, backend services, data pipelines, LLM orchestration, frontend — you own the spec nobody writes for you. You write production code, not demos that die after a meeting.
3. Ship to production and own the outcome. Phased rollouts, alert thresholds, business metrics. When something breaks, you fix it. When numbers are below target, you know Why.
4. Switch altitude — technical depth to C-suite context. Debug a model’s internals in the morning. Present the roadmap to leadership in the afternoon. Review legal terms for an AI partnership before end of day.
5. Multiply AI capability across the organisation. You make teams across Sales, Marketing, Risk, and Engineering better at identifying and executing AI opportunities on their own — through frameworks, reference tools, and workshops that change Behaviour.
You’ve been using AI tools for over a year — Claude Code or Cursor is your default environment, not a novelty. You orchestrate agents, build with skills and MCPs. AI assistance is muscle memory. You’re a polyglot — picking up new stacks fast because AI handles the ramp. You thrive in ambiguity and default to action.
You will be a good fit if you bring
– Founder mindset: you’ve started something (a company, a product, a team) and taken it from zero to live with your own hands. You don’t wait for specs.
– 3–5 years building software with at least 1–2 years building AI/ML-powered products in production. Depth matters more than years — the right 2-year person beats the wrong 8-year person every time.
– Full-stack capability: backend services, data pipelines (Kafka, Airflow), LLM orchestration (OpenAI, Anthropic, Gemini), frontends (React), and deployment infrastructure (GCP, Docker). You don’t wait for other teams to unblock you.
– LLM & agent depth: hands-on with multi-agent systems, RAG, prompt engineering, and production AI pipelines — not just API wrappers.
– Product instinct: you ask “why” before “how.” You can scope a business problem down to a shippable prototype and articulate business value to non-technical stakeholders.
– Speed & autonomy: you can take a problem from discovery to demo in under two weeks. You move faster than the process and create structure only where it helps.
– Influence without authority: you align stakeholders across Sales, Risk, Engineering, and Legal by being clear, credible, and fast — without having direct reports in any of those functions.
You will not be a good fit if you
You need detailed specs handed to you. You prefer deep specialisation over breadth. You’re uncomfortable with ambiguity. You optimise for code elegance over customer outcomes. You hand off after designing or after shipping. You treat “not my job” as a valid answer. You need a stable roadmap to do your best work. You still thrive living in a 2-week sprint.
What the work has looked like
Projects change frequently. Recent examples from this team:
– Browser-based AI Agent — autonomous web navigation agent that crawls merchant websites, detects payment gateways at checkout, and places test orders. Used by Risk Ops for mystery shopping and fraud detection. Headless browser + LLM-driven navigation + real-time Slack alerting.
– Ops Copilot Platform — full-stack employee activity intelligence: Rust-based macOS agents for screen OCR and audio transcription (Whisper), centralised server (Bun + Hono + PostgreSQL), React dashboard with WebSocket streaming, VLM-powered workflow extraction.
– Pre-Churn Alerting — Airflow DAGs processing risk events and merchant data to generate daily intelligence alerts delivered to Slack for proactive retention.
– Analytics Platform Rollout — end-to-end evaluation, procurement, legal approval, and org-wide rollout of PostHog as the product analytics platform.
How to apply
We screen on one thing before anything else: evidence that you have built something technically demanding end-to-end and taken it live.
– Send a note (300–500 words) on the most technically complex system you’ve built — the problem it solved, the architecture choices, what broke in production and how you fixed it, and what you’d do differently now.
– Optionally: a link to something running in production, a GitHub repo with real commits, or a case study.
If the note shows the instincts we’re looking for, we’ll reach out within a week. The process is short: one technical problem set, two focused conversations, a final discussion with the team Lead.
Why Razorpay
1. Scale that matters — billions of transactions, thousands of merchants. What you build goes live on India’s largest payments platform. You know within weeks whether it Worked.
2. Impact at scale — help transform India’s leading payments platform into the country’s first AI-native payments company. The problems are core: merchant growth, payment routing, revenue expansion — not peripheral. 3. Small team, real autonomy — no bureaucracy between your idea and production. Direct access to the CEO and VP Engineering. If the idea is good, it ships.
About Us
Razorpay was founded by Shashank Kumar and Harshil Mathur in 2014. Razorpay is building a new-age digital banking hub (Neobank) for businesses in India. Our mission is to enable frictionless banking and payments experiences for businesses of all shapes and sizes. We started as a B2B payments company, and today, we process billions of dollars of payments for lakhs of businesses across India. We are the leading payments provider in the country and have been the first to bring to market most major innovations in the past 7 years. Razorpay currently processes multi-billion dollar payments on an annualised basis, touching 200Mn+ end customers through top clients like Airtel, Goibibo, Yatra, Ola, Swiggy, Zomato, Cred etc. We have raised around USD $740M+ in funding from marquee investors like GIC, Alkeon Capital, Lone Pine Capital, TCV, Sequoia Capital, Tiger Global, Ribbit Capital, Matrix Partners and many stellar angels.
Ready to apply?
Apply to Razorpay Software Private LimitedWho We Are & Why Join Us
Avathon is the only physical AI unicorn headquartered in the San Francisco Bay Area, we go beyond models and dashboards we deploy AI that continuously computes across supply chains, energy systems, and industrial operations. Our Operational Technology platform turns fragmented data into real-time, autonomous decisioning across the systems that power the global economy.
This is not digital AI. This is AI for operational reality where latency, constraints, and failure have real-world consequences.
Cutting-Edge AI Innovation – Join a team at the forefront of AI, developing groundbreaking solutions that shape the future.
High-Growth Environment – Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm.
Meaningful Impact – Work on AI-driven projects that drive real change across industries and improve lives.
Learn more at: Avathon
Staff Data Scientist – Supply Chain AI (Small Language Models)
At Avathon, we build AI products that solve real industrial problems at scale. We believe the future of enterprise AI lies in small, focused, high-performance models—deeply grounded in domain context—not just large, generic systems.
We’re looking for an experienced Data Scientist to join our Supply Chain AI team in India. In this role, you’ll design, fine-tune, and deploy optimized Small Language Models (SLMs) that power production-grade AI features across logistics, planning, inventory, and demand forecasting.
What Makes This Role Unique
This is a product-first data science role. You won’t just build models—you’ll own how they show up in real products used by large enterprises. Your work becomes the intelligence layer that sits on top of our graph and indexing systems and directly drives customer outcomes.
What You’ll Do
- Build and fine-tune SLMs/LLMs for production use cases such as semantic search, forecasting, contract intelligence, and conversational insights. Optimize models for performance, cost, and latency using PEFT, quantization, and efficient inference techniques
- Embed supply chain knowledge into models by working closely with domain experts and product teams
- Enable agentic workflows, allowing AI Assistants to execute planning, optimization, and decision-support tasks
- Integrate models into products using custom Lambdas, and a Graph-based microservices architecture
- Apply vector search and semantic reasoning to help customers navigate complex supply chain relationships
- Work with real enterprise data—ERP, logistics, inventory, supplier, and contract datasets
- Deploy and operate models using strong MLOps practices on platforms like AWS, GCP or AZURE
- Measure and improve quality, reducing hallucinations and improving reliability through continuous evaluation
- Partner with engineering, product, and operations teams to ship impactful AI features end-to-end
What We’re Looking For
- Experience working with SLMs (Mistral, Phi, Nemotron, Llama variants), applying parameter-efficient fine-tuning (LoRA/QLoRA) to optimize task-specific natural language query answering with high accuracy and minimized hallucinations.
- Strong understanding of supply chain data and workflows (logistics, inventory, procurement, ERP systems)
- Familiarity with Knowledge Graphs and graph-based data modeling, including designing and querying Neo4j graphs for relationship-driven insights.
- Solid hands-on skills in Python, PyTorch/TensorFlow, GraphQL, and vector databases
- 8+ years of experience in forecasting, optimization, supply chain analytics, or AI-driven products
- Experience designing Retrieval-Augmented Generation pipelines using document chunking, metadata filtering, hybrid (dense + sparse) retrieval, and SLM/LLM grounding for enterprise knowledge search.
- Hands-on experience building and tuning FAISS-based vector indexes (IVF, HNSW, PQ) for large-scale semantic similarity search with low-latency production deployment
- Experience taking models from prototype to production
- Bonus: reinforcement learning, MARL, graph neural networks, or probabilistic modeling
- Clear communication skills and a strong sense of product ownership
Why Avathon
You’ll work on core AI products, not experiments—solving complex supply chain problems for global enterprises, while building from India as a key innovation hub.
If you enjoy shipping AI that delivers measurable business value, this role is for you.
Avathon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.
Avathon is committed to providing reasonable accommodations throughout the recruiting process. If you need a reasonable accommodation, please contact us to discuss how we can assist you.
Ready to apply?
Apply to Avathon
Principal Forward Deployed AI Engineer
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About Turing
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.
Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com
About the role:
Turing is looking for people with LLM experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the Turing GenAI delivery organization and part of a GenAI project. You will be required to work with a team of other Turing engineers across different skill sets. In the past, the Turing GenAI delivery organization has implemented industry leading multi-agent LLM systems, RAG systems, and Open Source LLM deployments for major enterprises.
Required skills
- 8 + years of professional, hands-on engineering experience, including 4–6+ years specializing in building and deploying AI/ML models and systems.
- 1+ year of experience in developing Generative AI (LLM) applications using techniques like prompt engineering, RAG, and/or agents.
- Expert in architecting GenAI applications/systems using various frameworks & cloud services
- Good proficiency in using various cloud services from Azure, GCP, or AWS for building the GenAI applications
- Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must.
- Experience in driving the engineering team toward a technical roadmap.
- Excellent communication skills to effectively collaborate with business SMEs
Roles & Responsibilities
- Build the technical roadmap given a business requirement and own the delivery of the same.
- Lead the engineering team toward a technical roadmap and ensure timely execution of the roadmap to achieve customer satisfaction.
- Develop and optimize LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.
- Codebase ownership: Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.
- Cloud integration: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.
- Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.
- Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.
- Continuous innovation: Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.
Education
- Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related technical field.
Values
- We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
- We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
- We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
- Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
- Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
- Competitive compensation
- Flexible working hours
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review Turing's GDPR notice here.
Ready to apply?
Apply to TuringPrincipal AI Engineer - Frontier Data
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About Turing
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.
Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com
The Role
We are looking for an elite engineer who builds like a hacker and communicates like a consultant. You will not just be building models in a notebook; you will be deployed to the front lines to build, architect, and ship end-to-end Agentic AI products directly for our most strategic customers.
This is a high-stakes role. You will face "tricky" customers who have vague requirements and high expectations. Your job is to translate their chaos into technical order, write production-grade code, and deploy autonomous agents that solve their actual business problems.
What You Will Do
- Build & Deploy (60%):
Design and ship full-stack AI applications. You own the pipeline from data ingestion to the LLM inference layer to the frontend interface.
Architect autonomous agentic workflows (using frameworks like LangChain, LangGraph, or custom implementations) that can reason, plan, and execute complex tasks.
Write robust, clean, and highly testable code (Python/Typescript). "It works on my machine" is not acceptable; it must work in the customer's restricted cloud environment.
Handle DevOps and MLOps constraints: Dockerizing agents, managing Kubernetes clusters, and optimizing inference latency.
- Customer Engineering (40%):
Serve as the technical face of the company for our most demanding accounts.
Navigate complex stakeholder environments. You will push back on unrealistic demands, clarify ambiguous requirements, and steer "tricky" customers toward technically feasible solutions without breaking rapport.
Translate technical constraints into business value for non-technical executives.
Generate high-quality data for our customers and ability to review the data generated by other experts. This is one of the most critical aspects of the role.
The "Must-Haves"
- Experience: 8–12 years of total engineering experience. You started as a strong Software Engineer and evolved into an AI specialist.
- Education: B.S./M.S. in Computer Science, Math, or Physics from a top-tier institution (IIT, MIT, Stanford, Harvard, Berkeley, CMU, or similar global top-ranking universities).
- Deep AI Fluency: You aren't just calling APIs. You understand RAG implementation nuances, vector database optimization, fine-tuning (LoRA/PEFT), and the architecture of agentic loops.
- Production Engineering: Experience with end-to-end deployment (AWS/GCP/Azure, CI/CD pipelines, Terraform, Docker).
The "Why You" (Soft Skills)
- Thick Skin & High EQ: You don't get flustered when a customer changes their mind for the third time in a week. You can hold your ground with a CTO and explain "why not" to a CEO.
- Extreme Attention to Detail: You catch the edge cases that others miss. You obsess over error handling, retry logic in agents, and data privacy.
- Grit: You enjoy the "messy" work of integrating legacy enterprise data just as much as prompting the latest model.
What will set you apart
- Public Code: A visible GitHub footprint is very helpful. We want to see your side projects, your contributions to open source, or your experiments with LLMs. Please include your GitHub link in your application.
Tech Stack
- Languages: Python (Expert).
- AI/Data (Expertise in all is not required): PyTorch, LangChain, LlamaIndex, Pinecone/Weaviate, OpenAI/Anthropic APIs, HuggingFace.
- Infra (Expertise in all is not required): Kubernetes, Terraform, AWS/GCP.
Values
- We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
- We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
- We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
- Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
- Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
- Competitive compensation
- Flexible working hours
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review Turing's GDPR notice here.
Ready to apply?
Apply to TuringStrategic Project Lead
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About Turing
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.
Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com
Strategic Project Lead / Delivery Manager
Data Annotation & AI Delivery
8+ Years of Experience
Position Overview
We are looking for a seasoned Delivery Manager (8+ years of experience) to lead large-scale data annotation and curation projects in support of cutting-edge LLM and multimodal AI research. You will oversee end-to-end delivery for projects with 100+ team members, ensure world-class data quality, and drive process and tooling innovation in collaboration with AI researchers and cross-functional teams.
This role is ideal for someone who combines deep technical expertise, proven leadership in managing large teams, and a passion for advancing AI/ML innovation. Given that our key customers operate in the data analytics, data engineering, and Business Intelligence (BI) space, the ideal candidate will bring hands-on leadership experience with platforms such as Databricks and Snowflake, enabling them to deeply understand customer domains, speak their language, and deliver annotation outcomes that are contextually relevant and technically sound.
Primary Responsibilities
- Team Leadership & Development
- Lead, mentor, and grow large-scale teams of annotators and trainers.
- Drive performance management, career development, and targeted training.
- Foster a culture of excellence, ownership, and continuous learning.
- Design and implement motivation strategies (including gamification) to boost engagement and reward top performers.
- Project Management & Coordination
- Define and manage project scope, objectives, timelines, and quality metrics.
- Align with cross-functional stakeholders on goals and deliverables.
- Proactively identify and resolve delivery risks, blockers, and dependencies.
- Provide clear and consistent reporting on progress, challenges, and solutions.
- Data Quality & Integrity
- Own quality control and data integrity across the annotation lifecycle.
- Analyze datasets to identify trends, anomalies, and insights for improvement.
- Implement best practices for annotation, evaluation, and data curation.
- Share learnings and continuously improve quality processes.
- Technical Collaboration & Innovation
- Partner with engineering and research teams to optimize internal tooling.
- Stay ahead of emerging trends in AI, ML, and multimodal processing.
- Champion innovations that reduce task completion times and improve efficiency.
- Maintain clear and scalable documentation for processes and training.
- Customer & Domain Engagement
- Serve as a domain-knowledgeable point of contact for customers operating in data engineering, analytics, and BI environments.
- Leverage hands-on experience with platforms like Databricks and Snowflake to understand customer data workflows, terminology, and quality expectations.
- Translate customer-specific data engineering and BI contexts into clear, actionable annotation guidelines and quality benchmarks for delivery teams.
- Collaborate with customers to define annotation taxonomies and evaluation criteria that align with their data pipeline and analytics use cases.
Required Skills & Qualifications
- 10+ years of experience in engineering, program management, or delivery of large-scale projects.
- Proven ability to lead and scale large teams (100+ members) with measurable impact.
- Strong technical grounding in AI/ML, data annotation, and multimodal systems.
- Hands-on leadership experience in data analytics, data engineering, or BI domains, with working knowledge of platforms such as Databricks and/or Snowflake (architecture, pipelines, data modeling, and production workflows).
- Familiarity with the modern data stack including ETL/ELT pipelines, data warehouses, data lakes, and BI tools (Power BI, Tableau, Looker, or similar).
- Ability to translate complex data engineering and analytics concepts into annotation frameworks, quality standards, and training materials.
- Proficiency in Python (preferred) or Swift for data analysis and automation.
- Strong mathematical and analytical skills for data-driven problem solving.
- Experience in data curation, annotation pipelines, and quality control.
- Excellent communication and stakeholder management skills.
- Track record of driving high-quality outputs under tight deadlines.
Preferred Skills & Qualifications
- Advanced degree in Computer Science, Data Science, AI, or related fields.
- Experience applying gamification to workforce engagement.
- Familiarity with modern project management tools & methodologies.
- Exposure to state-of-the-art multimodal AI technologies.
- Prior experience managing annotation or data labeling projects for customers in the data engineering, analytics, or BI space.
- Familiarity with SQL at an advanced level and data orchestration tools such as Apache Airflow, dbt, or Prefect.
- Certifications in Databricks (e.g., Data Engineer Associate) or Snowflake (e.g., SnowPro Core) are a plus.
Values
- We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
- We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
- We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
- Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
- Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
- Competitive compensation
- Flexible working hours
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review Turing's GDPR notice here.
Ready to apply?
Apply to TuringSenior Staff Engineer
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About Turing
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.
Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com
At Turing, we are building the trust, intelligence, and workflow infrastructure that powers how top global talent gets discovered, evaluated, and hired. We are looking for a highly capable engineering leader to help architect and build a new generation of AI-first vetting systems that improve talent integrity, capability assessment, and hiring experience at scale.
This role sits at the intersection of platform engineering, applied AI, product thinking, and execution. The right person will not just ship isolated features, but build durable systems that can support multiple products and use cases over time.
What you will own:
- Build and scale core components of Turing’s vetting platform, with initial focus on:
- AI Interviewer
- Task-based vetting platform
- Fraud and integrity checks
- Design platform-level systems rather than siloed point solutions, with strong emphasis on extensibility, reuse, and long-term maintainability
- Partner closely with Product, Design, Data, and Operations to translate ambiguous business problems into scalable technical systems
- Lead architecture and implementation for high-scale, high-reliability user-facing and internal workflows
- Improve system quality across UX, performance, observability, and developer velocity
- Help establish technical direction, engineering standards, and execution rigor for a fast-moving, AI-forward org
- Mentor engineers and raise the bar on engineering craftsmanship, systems thinking, and speed of execution
What we are looking for:
- 8+ years of software engineering experience, with strong depth in backend/platform systems
- Experience building and scaling complex product or platform systems used in production
- Strong systems design skills, with the ability to think in platforms, primitives, and reusable abstractions rather than one-off features
- Proven ability to operate in ambiguous environments and convert evolving requirements into clean technical approaches
- Strong product instinct and user empathy; able to balance architecture quality with business speed
- Experience working on workflow systems, evaluation platforms, marketplaces, trust & safety, identity/fraud, or AI-powered products is a strong plus
- Familiarity with modern AI/LLM-powered systems and the ability to apply them pragmatically in production workflows
- Track record of driving high-impact initiatives end-to-end across cross-functional stakeholders
- Strong communication skills and a high-ownership mindset
What great looks like:
- Can independently take a messy problem space and turn it into a clear system design and execution plan
- Builds for scale, but without overengineering
- Thinks beyond the immediate ask and identifies the right underlying platform opportunities
- Moves fast, has sound judgment, and can make pragmatic tradeoffs
- Raises the quality bar for both technical design and product execution
- Comfortable working across architecture, implementation, and org-level influence
Why this role matters:
Turing is entering a phase where trust, verification, and AI-led vetting are becoming central to the user experience and business model. This role will help build the systems that determine how we assess talent quality, verify authenticity, reduce fraud, and create a world-class experience for both talent and hiring teams. The work here is foundational and will directly shape the future of Turing’s platform.
Values
- We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
- We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
- We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
- Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
- Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
- Competitive compensation
- Flexible working hours
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review Turing's GDPR notice here.
Ready to apply?
Apply to Turing
AI/ML Solution Architect (India)
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We seek a highly skilled and experienced Lead Machine Learning Engineer with a PhD and extensive expertise in large language models (LLMs), multi-agent systems, and flow engineering. The ideal candidate will not only have a strong technical background but also the drive to mentor and educate our machine learning team and advocate for the adoption of new and emerging technologies.
WHAT YOU'LL DO
- Drive innovation as a technical leader, build strong relationships and ensure the successful development and deployment of LLMs
- Collaborate with other teams and stakeholders to integrate our LLMs into various applications and workflows, providing technical guidance and support as needed
- Develop and execute comprehensive testing strategies to ensure the performance and effectiveness of our LLMs in various applications and workflows
- Design and develop novel LLM architectures that meet specific business requirements or identify opportunities for improvement in existing models
- Explore new techniques, algorithms, and tools to stay ahead of the curve
- Identify and curate high-quality datasets that align with business objectives and are suitable for training, validating, and testing LLMs
- Explore alternative data sources, create synthetic data, and develop custom data generation techniques
WHAT YOU'LL NEED
- PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field
- Proven experience in developing and deploying large language models (LLMs) and a deep understanding of their architectures and applications
- Strong background in multi-agent systems, flow engineering, and related AI technologies
- Demonstrated ability to lead and mentor a team of machine learning engineers and data scientists
- Excellent communication and presentation skills, with the ability to articulate complex concepts clearly
- Professional experience developing Python libraries for machine-learning applications. Strong background in Pytorch, HuggingFace, Langchain/LlamaIndex and other ML libraries.
- Strong problem-solving skills and the ability to think critically and creatively
- A track record of published research in reputable journals or conferences is a plus
ABOUT US
Born in 2001, Code and Theory is a digital-first creative agency that sits at the center of creativity and technology. We pride ourselves on not only solving consumer and business problems, but also helping to establish new capabilities for our clients. With a global client roster of Fortune 100s and start-ups alike, we crave the hardest problems to solve. We have teams distributed across North America, South America, Europe, and Asia. The Code and Theory global network of agencies is growing and includes Kettle, Instrument, Left Field Labs, Create Group, Current, and TrueLogic.
Striving never to be pigeonholed, we work across every major category: from tech to CPG, financial services to travel & hospitality, government and education to media and publishing. We value the collaboration with our client partners, including but not limited to Adidas, Amazon, Con Edison, Diageo, EY, J.P. Morgan Chase, Lenovo, Marriott, Mars, Microsoft, Thomson Reuters, and TikTok.
The Code and Theory network is comprised of nearly 2,000 people with 50% engineers and 50% creative talent. We’re always on the lookout for smart, driven, and forward-thinking people to join our team.
Ready to apply?
Apply to Code and Theory