About the team

• ML infrastructure: Help build a first-class machine learning platform from the ground up which manages the entire model lifecycle - feature engineering, model training, versioning, deployment, online serving/evaluation, and monitoring prediction quality.
• Data analysis and feature engineering: Apply your expertise to identify and generate features that can be leveraged by multiple use cases and models.
• Model training with batch and real-time prediction scenarios: Use machine learning and statistical modelling techniques such as Decision Trees, Logistic Regression, Neural Networks, Bayesian Analysis and others to develop and evaluate algorithms for improving product/system performance, quality, and accuracy.
• Production operations: Low-level systems debugging, performance measurement, and optimisation on large production clusters.
  Collaboration with cross-functional teams: Partner with product managers, data scientists, and other engineers to deliver impactful solutions.
  Staying ahead of the curve: Continuously learn and adapt to emerging technologies and industry trends.

• Bachelors, Masters, or PhD in Computer Science, Statistics, or a related field.
• Experience in applied machine learning on real use cases (bonus points for ad tech-related use cases). Min 5 years of total experience.
• Great coding skills and strong software development experience (we use Spark, Python, Java).
• Familiarity with real-time evaluation of models with low latency constraints.
• Familiarity with distributed ML frameworks such as Spark-MLlib, TensorFlow, etc.
• Ability to work with large scale computing frameworks, data analysis systems, and modelling environments. Examples include Spark, Hive, NoSQL stores such as Aerospike and ScyllaDB.
• Ad tech background is a plus.
• AI growth mindset / AI Literacy
  
  
  

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 

About the team

Roku pioneered streaming to the TV and continues to innovate and lead the industry. While we are well-positioned to help shape the future of television – including TV advertising – around the world, continued success relies on its investment in our machine learning capabilities. Roku offers millions of options to our users: movies, episodes, news, sports, and channels from all around the world. The Roku Content Platform is key to onboarding content into the Roku ecosystem, delighting our customers. Building a content knowledge platform that provides insights to downstream systems like Search, Recommendations, Ads, and Voice to shape customers' experiences is why we’re actively looking for a Senior Machine Learning / AI Engineer, Content Platform who can drive further innovation.

About the role

Roku pioneered streaming to the TV and continues to innovate and lead the industry. While we are well-positioned to help shape the future of television – including TV advertising – around the world, continued success relies on its investment in our machine learning capabilities.

Roku offers millions of options to our users: movies, shows, news, sports, and channels from all around the world. The Roku Content Platform is key to onboarding content into the Roku ecosystem, delighting our customers. Building a content knowledge platform that provides insights to downstream systems like Search, Recommendations, Ads, and Voice to shape customers' experiences is why we’re actively looking for a Senior Machine Learning / AI Engineering Manager who can drive further innovation.

The person in this role will leverage their technical skills, business intuition, and analytical thinking to build best-in-class machine learning products. This includes integrating Generative AI capabilities and Vision Models to enrich content quality and user engagement. This is a role for a hardened ML practitioner and a highly skilled organizational leader. You will be the architectural and operational bridge between deep AI research and fast-paced product delivery. If you know how to build a 3-year vision for content discovery and translate it into 2-week shipping cycles, this is your team.

What you’ll be doing

• Vision & Strategy: Define the roadmap for ML within the Content Platform..
• Technical Leadership: Provide high-level guidance on model architecture and MLOps infrastructure to ensure models are scalable and production-ready.
• People Management: Lead and grow a high-performing team of ML Engineers. You will be responsible for career development, performance management, and maintaining a culture of rigorous experimentation.
• Cross-Functional Execution: Partner with Product, Engineering, and Content Strategy to align ML initiatives with business goals.
• Delivery: Champion a culture of incremental delivery. Balance long-term R&D with the need to deliver measurable improvements to the production environment.

We’re excited if you have

• 10+ years of total experience in software/ML engineering, with at least 5 years in a dedicated people management leadership role.
• MS or BS in Computer Science, Mathematics, or a related quantitative field.
• You possess a deep theoretical and practical understanding of Machine Learning. 
• You understand the business of streaming and how ML directly impacts the bottom line.
• You can explain complex model to a non-technical executive just as easily as you can debate architecture with a seasoned engineer.
• Proven track record of deploying large-scale ML models into production environments.
• Experience with modern ML stacks (e.g., LLMs, PyTorch, TensorFlow, Spark, and cloud-native MLOps tools).

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

About the Team 

The DMP team plays a critical role in Roku’s Advertising organization, leading initiatives around audience management that power decision-making across the advertising ecosystem. We develop and manage products that enable advanced segmentation and audience management for advertisers while meeting the operational needs of internal teams. We work closely with Product Managers, Machine Learning, Ad Sales, Ads Operations, and multiple groups within Advertising Engineering to deliver high-impact solutions.Looking ahead, we are exploring AI-driven capabilities to further enhance the effectiveness of advertising campaigns and improve operational efficiency of our platforms. 

About the Role 

We are seeking a highly skilled Senior Software Engineer with deep expertise in big data technologies, including Apache Spark and Apache Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large-scale data processing.In this role, you will collaborate with cross-functional teams to architect and manage robust, production-grade data products and APIs that power critical capabilities across the advertising platform. You will work with technologies such as Apache Spark, Apache Airflow, ScyllaDB/Cassandra, Aerospike, Kubernetes, and SpringBoot to deliver reliable, high-performance solutions. The ideal candidate is a proactive, self-motivated professional with a strong track record in building high-scale data services and a dedication to delivering exceptional results. 

What You’ll Be Doing 

Software Development 

• Design and build APIs and backend services using Spring Boot to support data products and audience management workflows. 

• Write clean, maintainable, and efficient code, ensuring adherence to best practices through code reviews. 

Big Data Engineering 

• Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow. 

• Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance. 

• Develop and fine-tune complex queries using Apache Spark for large-scale datasets. 

• Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency. 

API and Platform Development

• Design, Development, and maintain large scale, low latency API systems using SpringBoot and Kubernetes

• Maintain NoSQL Infrastructure including ScyllaDB and Aerospike

Collaboration & Mentorship 

• Partner with the machine learning team, software engineers, and other teams to deliver integrated, high-quality solutions. 

• Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering.

We’re Excited If You Have 

• Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience). 

• 8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow.

• Expertise in developing low latency APIs
  

• Strong understanding of SOLID principles and distributed systems architecture. 

• Proven experience in distributed data processing, data warehousing, and real-time data pipelines. 

• Advanced SQL skills, with expertise in query optimization for large datasets. 

• Exceptional problem-solving abilities and the capacity to work independently or collaboratively. 

• Excellent verbal and written communication skills. 

• Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred) 

• Experience in AdTech, in advertising data platforms and audience management. (preferred)

• Strong programming skills in Python, Java, and/or Scala. (preferred) 

• Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Jenkins & Terraform). (preferred) 

• Expertise in developing low latency APIs

•  Experience with building Agentic AI systems to automate decision-making and enhance analytics workflows. (preferred)

• Experience in AdTech, in advertising data platforms and audience management. (preferred)
  

About the team 

The Advertising Performance group focuses on performance for all participants in the Advertising ecosystem - Advertisers, Publishers and Roku. The systems and solutions span across different disciplines and technologies to perform realtime multi-objective optimization with distributed systems at large scale and low latencies. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning, Experimentation and Inference Platform that powers the entire landscape which we continuously evolve over time.

About the role 

In this role you will work on building out a SOTA machine learning platform and apply various methodologies to solve a large variety of challenging problems in Advertising related to conversion modeling aligned with attribution methodologies/models, calibration, dynamic creative generation and optimization, forecasting and timeseries modeling, yield and margin optimization and Experimentation for A/B and multivariate testing. 

We’re looking for strong engineers well versed with modern large scale machine learning platforms with a solid grasp of core statistical techniques and deep experience in SOTA Deep Learning discriminative and generative models.  

What you’ll be doing  

• Building and evolving a SOTA Machine Learning Platform from feature generation to realtime inferencing that can optimize and deploy complex models at large scale and low latencies. 

• Building SOTA Deep learning discriminative models and build generative models to generate image and video ads geared towards optimizing performance. 

• Stay at the forefront of advancements in related areas. 

We’re excited if you have 
 

• BS or higher in CS, ECE or a related field. 

• 5+ years of experience in building out Machine Learning platforms or applying Deep Learning  methodologies. 

• Excellent communication and collaboration skills. 

Preferred Qualifications: 

• MS or higher CS, ECE or a related field. 

• Experience in the Advertising domain. 

• Contributions to open-source ML projects. 

About the team

A highly scalable, highly available, real-time advertising platform is critical to support and grow Roku's rapidly expanding ad business. It is the mission of the Ad Engineering Team to build this platform. We are hiring a Senior Machine Learning Engineer, Advertising Platform, to be a vital part of this mission. If you bring extensive experience building complex systems using Machine Learning and Data Science, love great technology at scale, enjoy mentoring, jumping in, and figuring things out in any system, this role is for you!

The Ad Serving team, based in Bangalore, is responsible for ensuring that ads on the Roku platform are relevant and of good quality, leading to better outcomes for advertisers and providing a great experience for our viewers. Dealing with millions of ad requests in a day, we need to have best in class ML driven systems to improve the way we serve ads in multiple countries and languages.  

About the role

In this role, you will build and develop ML models to solve for content understanding aspects of Ads. These models rely on the visual, audio and textual content of ads, across multiple languages. This includes developing computer vision and machine learning models/methods such as deep learning models, generative AI solutions, large language models (LLMs) and vision language models (VLMs). You will work with software engineers and other ML engineers to identify, build, train and productionize these models to improve brand safety, increase revenue opportunities and help with moderation and generation of ad creatives in general.

What you will be doing

• Develop scalable and effective machine-learning models and optimization strategies to solve business problems related to Ads
• Run regular A/B experiments, gather data, and perform statistical analysis
• Work closely with software engineers and other ML engineers to deliver end-to-end solutions into production
• Improve the scalability, efficiency and automation of ML driven ad serving systems, model training, deployment and serving
• Partner with senior stakeholders to plan and drive the ML strategy for Ad Serving

We're excited if you have

• 6+ years of building models for business application experience
• Master's degree ( or higher) and 4+ years of CS, CE, ML or related field experience
• Strong CS fundamentals. Should be able to write an algorithm with ease.
• Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
• Good understanding of data science and machine learning fundamentals like regression, classification, tree-based approach, neural networks, sequence-based, and NLP approaches like W2V or Bert
• Can brainstorm and identify the right KPIs and objective functions. 
• Knowledge of programming languages such as C/C++, Python, Java or Perl (preferred)
•  Have publications at top-tier peer-reviewed conferences or journals (preferred)
• AI growth mindset / AI Literacy

The Role:

We are seeking a Senior Data Platform Engineer to join our dynamic and growing team, responsible for building, scaling, and optimizing our cloud-native data platform. You will design and implement scalable data pipelines that power business-critical analytics, real-time insights, and AI/ML solutions. As an experienced data architect and builder, you will have the opportunity to redefine our data infrastructure to enable the next generation of products and drive innovative data initiatives.

Roles and Responsibilities:

- Design, Develop & Deploy scalable Data Platform with real-time and batch processing solutions

- Write highly scalable code by following best practices in concurrency, resource optimization, and fault tolerance.

- Build and maintain the Infra with best IoC practices

- Identify and implement internal process improvements, including automating manual tasks, optimizing data flow, and re-designing infrastructure for higher scalability and resilience.

- Develop automated monitoring, alerting, and logging systems for pipelines to ensure reliability, uptime, and data quality.

- Build and maintain data tools that enable analytics, BI, and data science teams to experiment and optimize their workflows.

- Ensure end-to-end data governance by implementing policies for data quality, security, and compliance.

- Optimize data models and architectures to power machine learning, reporting, and real-time analytics.

- Collaborate closely with data scientists and product engineers to integrate ML models into production systems and improve system functionality.

- Work with stakeholders across the organization to ensure alignment between data infrastructure and business needs.

Mandatory Qualifications:

- 4+ years of hands-on experience in Building and managing Large Scale Data Platforms.

- Experience with Version control, CI/CD pipelines, Kubernetes, Docker, and IaC tools.

- Strong Experience in Building and Maintaining Data Intensive APIs and Distributed Data Processing Systems

- Strong programming skills in Scala, Golang, and optimizing SQL queries.

- Experience with both relational SQL and NoSQL databases

- Strong understanding of REST APIs, Microservices, event-driven architectures, and Stream processing frameworks.

- Experience working in cross-functional, agile environments.

- Open-source contributions or active participation in developer communities.

- Prior experience in a product-based company is highly preferred.

Platform Manager QE – SaaS Platform 

Location: Coimbatore / Bangalore
Experience: 10 to 14 Years

Who we are and What we do?

AppViewX is trusted by the world’s leading global organizations to reduce risk, ensure compliance, and increase visibility through machine identity management and application infrastructure security and orchestration. At AppViewX, you will get to work with our bleeding edge Automation Platform that facilitates digital transformation through streamlined workflows to prevent outages, reduce security incidents and protect both an enterprise’s reputation and bottom line. AppViewX has also been certified as a Great Place to Work in India, cementing us as an employer of choice.

Glimpse of our Team

The core of AppViewX quality lies in building predictable releases through strong engineering discipline, automation-first practices, and measurable quality outcomes. Our Platform Quality Engineering team partners closely with Platform Engineering, SRE, and Product Engineering to ensure platform reliability, scalability, and resilience under real-world workloads.

As a Platform Manager QE, you will focus on validating how the platform behaves at scale, ensuring multi-tenant SaaS stability, upgrade safety, and non-functional excellence as the platform evolves.

What will you be responsible for?

• Own end-to-end platform quality outcomes, ensuring reliability, scalability, and stability across SaaS and customer-hosted deployments
• Define and execute a platform quality strategy aligned to SaaS scale, multi-tenancy, and infrastructure evolution
• Drive non-functional quality leadership, including:
  • Performance (P95/P99 latency, throughput)
  • Scalability (load, stress, capacity limits)
  • Reliability (failover, recovery, resilience)
  • Chaos testing (node, network, dependency failures)
• Validate platform behavior across:
  • Kubernetes-based deployments
  • Service mesh (Istio) and API gateway
  • Core platform services (auth, async jobs, notifications, logging)
• Ensure tenant isolation and noisy-neighbor impact validation in multi-tenant SaaS environments
• Own platform upgrade and deployment quality, including:
  • Backward compatibility
  • Data migration integrity
  • Configuration drift across environments
• Establish and govern continuous testing and QAOps practices for platform validation, including:
  • Production-like environments
  • CI/CD quality gates
  • Observability-driven validation (logs, metrics, traces)
• Drive platform-level automation strategy across API, performance, and resilience testing
• Provide platform readiness inputs to release certification, ensuring production-safe releases
• Analyze production incidents, performance degradations, and instability patterns, and drive preventive quality improvements
• Track and publish platform quality metrics (latency, stability, failure rates, incident trends) to guide engineering and leadership decisions
• Partner with Platform Engineering, SRE, and Product teams to identify and resolve systemic platform issues without impacting delivery velocity
• Lead, mentor, and grow a team of QE engineers focused on distributed systems, performance engineering, and reliability validation
• Influence architecture and design decisions to improve testability, scalability, and resilience outcomes
• Drive AI-assisted QE initiatives for performance analysis, anomaly detection, and intelligent regression optimization

What do we require? (Must Have)

• 10–14 years of experience in Quality Engineering with strong exposure to SaaS platforms and distributed systems
• Proven experience in non-functional testing:
  performance, scalability, reliability, chaos engineering
• Strong expertise in API and service-level automation (Python-based frameworks preferred)
• Hands-on experience with performance testing tools (JMeter, k6, Gatling, or similar)
• Experience with Kubernetes, containerized environments, and service mesh (Istio)
• Strong understanding of multi-tenant SaaS architectures and platform behavior under load
• Experience integrating quality practices into CI/CD pipelines and QA Ops workflows
• Strong debugging and root-cause analysis skills for production-scale issues
• Experience working with observability tools (Prometheus, Grafana, ELK, tracing systems)
• Strong Linux systems knowledge and environment troubleshooting skills
• Understanding of networking, security, and infrastructure concepts (TLS, DNS, load balancing)
• Strong stakeholder communication and ability to translate platform quality risks into business impact

What do we desire?

• Experience in cloud platforms (AWS / Azure / GCP) and hyperscaler environments
• Exposure to chaos engineering frameworks and reliability validation tools
• Experience with contract testing and service-level validation strategies
• Familiarity with AI-driven test optimization, anomaly detection, or quality intelligence
• Strong understanding of high-availability systems and distributed system failure modes

What You Bring as a Platform QE Manager at AppViewX

• You think in systems, scale, and failure modes, not just test cases
• You ensure platform reliability under real workloads, not just functional correctness
• You drive non-functional quality as a release gate, not a post-release activity
• You build predictable platform behavior through automation, observability, and continuous validation
• You translate technical platform risks into customer and business impact
• You mentor teams to move from test execution to engineering-driven quality ownership
• You operate with strong ownership, data-driven decisions, and disciplined escalation

What brings us together?

What makes us stand out from the rest is the people. The people who push hard every day to be smarter, passionate, resilient, creative, inclusive and curious. Surrounding ourselves with a bunch of diverse and talented minds has made us what we are, and we can't wait to see the positive impact it would have on you too!

What’s more in store?

AppViewX offers competitive benefits including incentives, health & wellness policies, investment schemes, flexible work models, and strong learning & development opportunities. We empower our employees with flexibility, ownership, and trust to drive impact.

Why AppViewX?

AppViewX serves Fortune 1000 enterprises globally, including leading banks, media companies, and healthcare providers. With a strong global presence and deep customer trust, we continue to scale our platform and engineering capabilities to solve critical enterprise challenges.

Equal Opportunity Statement

AppViewX is an Equal Employment Opportunity Employer committed to diversity, inclusion, and fair employment practices.

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 Organization 

Our mission is to enable effective financial decisions through reliable data, increased efficiency and automation. We support Marketing, Sales, Seller, Accounting, Tax, Finance & Strategy (F&S), Finance Operations (FinOps) and Treasury functions across Automation, Data insights and process improvements.

You may work on a wide variety of critical business areas including: 

Seller Systems: Responsible for building the systems and tooling that make Stripe’s sellers and internal revenue teams dramatically more productive and effective. We partner with Sales, Finance, Legal, and Product to deliver a single “plane of glass” selling experience that spans deal creation and modeling, negotiation and approvals, contracting, onboarding, and activation. The Seller Systems team composes first‑party, custom Stripe components with best‑in‑class third‑party business systems to deliver configurable, auditable, and globally scalable workflows. Engineers on Seller Systems build services, APIs, integrations, data pipelines, and internal UIs that power seller productivity, reduce time‑to‑activation, improve deal velocity, and enable AI‑driven assistive workflows. Use cases include deal modeling and pricing engines, approval and orchestration platforms, CLM/CPQ integrations, onboarding automation, seller analytics, and AI‑assisted seller tooling.

Finance Engineering: Responsible for building the robust and scalable infrastructure that powers the company's core financial operations, including payments processing, fund settlement, accounting, and business intelligence. The Finance Engineering team is at the core of Stripe to empower mission-critical financial domains including Accounting, Finance operations, Finance & Strategy, and Treasury. Engineers on the Financial Engineering team build platforms, data pipelines, and financial products for the Finance team. The use cases include financial analytics and insights, accounting automation, auditing, financial planning & forecasting, and financial business intelligence. 

Marketing/Sales Systems: Responsible for building the most measurable, cross-channel messaging capability possible, to attract and engage customers. We will do this through scalable motions, with the most relevant messaging and increasing reach of our marketing motions. We are a cross functional team of engineers, analysts, marketers, and product managers that deliver the insights, internal systems and tools that fuel Stripe’s growth. 

As part of the Marketing Systems team, you will own systems that power go-to-market motions productizing gathered insights and intelligence. This includes building tools that 1/ power better digital experiences, 2/ accelerate customer journey with intelligent orchestrations 3/ drive smarter decisions with CDP 4/ improve marketer and seller productivity.

What you’ll do

We’re looking for Software Engineers who want to make an impact on managing money at a global scale with a passion for building ergonomic APIs. You’ll play a key role in extending our balance management platform and in building out a new funds accessibility platform leveraged by enterprises and SMBs alike. Our team collaborates with many cross-functional teams – from Infrastructure to Product –  at Stripe to deliver innovative solutions that address evolving user needs.

Responsibilities

• Design, build, and maintain beautiful, robust, and high-performance APIs and services
• Ensure our infrastructure is extensible, scalable, reliable, and meets SLAs for both external and internal users
• Hide complexity from our users behind simple yet powerful abstractions
• Partner closely with other engineers, analysts and scientists to build highly scalable system(s), to deliver delightful developer experiences and comprehensive interfaces
• Build the APIs that power internal stakeholder facing UI experiences, defining composable data models and durable interfaces.
• Debug production issues across services and multiple levels of the stack with an eye towards improving maintainability over the long term.
• Improve engineering standards, tooling, 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

• 7-12 years of experience designing, implementing, and operating large-scale, high-performance APIs and services 
• You have implemented server-side APIs in dynamic languages like Ruby, working with document and relational datastores (especially Mongo and MySQL).
• You enjoy spelunking through new datasets (especially in systems like Redshift or Presto/Trino).
• Empathetic, collaborative, and user-first mindset in everything you build
• Experience proactively seeking feedback from users, teammates, and subject matter experts
• The skills to build holistically – from specs and documentation to implementation, testing, deployment, and measuring impact
• The ability to balance speed, complexity, and scope in service of user needs
• You have excellent oral and written communication.

Preferred Qualifications

• Experience with large-scale financial tracking systems
• Good understanding and practical knowledge in cloud based services (e.g. gRPC, GraphQL, Docker/Kubernetes, cloud services such as AWS, etc.) 
• Experience in marketing domain building products that contribute to marketing tech stack.
• Experience with machine learning, recommender systems, product-led growth, and/or lifecycle marketing.
• Prior experience building distributed systems or a microservices architecture

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 

Stripe Data Pipeline: The Stripe Data Pipeline (SDP) team owns a critical product that sends all of a merchant's Stripe data directly to their data warehouse. This role is essential for delivering petabytes of data daily with high reliability and low latency, marching towards a 99.99% availability and near real-time data freshness. SDP's unique selling proposition is making data seamlessly available, serving a customer base that includes major technology and Fortune 100 companies.

Revenue and Finance Automation- Revenue and Finance Automation (RFA) suite gives businesses power over the entire life cycle of their cash flow. By coordinating billing, tax, reporting, and data services in one modern stack, Stripe’s revenue and finance automation suite eliminates the inefficiencies of legacy finance tools and supports revenue growth.

Team Matching: exact team matching for one of the subteams within one of these orgs will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc.

What you’ll do

We are seeking an experienced technical leader to join our team to shape and build a suite of products that will let our users model and operate their business more efficiently. In this role, you will work closely with engineering managers, senior engineers, and cross-functional partners to design the technical architecture of the product to enable scale, interoperability and an amazing user experience. You will help grow the team in India to become a strong leader in delivering the Revenue and Finance Automation vision. You will also have the opportunity to be hands-on in building key systems, while mentoring and leading other engineers. Join us in spearheading a transformational opportunity for Stripe.

Responsibilities

• Lead and Architect: Take ownership of end-to-end architecture and system design for large, complex projects. Drive technical decisions that ensure scalability, reliability, and high performance across distributed systems.
• Mentor and Influence: Provide technical leadership to other engineers on the team, setting best practices in system design, architecture, and operational excellence. Act as a mentor, guiding less experienced engineers to grow into senior roles.
• Drive Product Innovation: Innovate by leveraging the latest in ML, LLMs, and data technologies, driving new features that help businesses optimize their revenue with predictive insights and advanced analytics.
• Collaborate Cross-Functionally: Partner with product, design, and data teams to deeply understand business problems and craft solutions that balance user needs, system performance, and scalability.
• Tackle Complexity: Navigate ambiguous technical challenges, breaking down complex problems into actionable solutions, and driving them from inception to successful deployment.
• Champion System Scalability and Stability: Ensure Stripe’s reporting products continue to operate at scale while maintaining system stability and providing seamless user experiences, handling billions of data points efficiently.

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

• 10 + years of engineering experience or equivalent combined work experience demonstrating relevant domain expertise.
• Experience in architecting and designing full-stack systems that deliver critical impact to a business
• You have great product taste and a track record of taking complex problems and solving them elegantly.
• You enjoy diving into and deeply understanding the businesses that use Stripe.
• You work very well cross-functionally, and are able to think rigorously and make hard decisions and tradeoffs.
• You are capable of working in ambiguous fast-moving environments and have a curiosity to learn the domain to a deep level.
• You thrive on a high level of autonomy and responsibility.
• Strong collaboration skills to work effectively across multiple teams and stakeholders.
• Past experience mentoring and investing in the development of engineers.
• Pride in successfully completing projects involving a diverse range of technologies and systems.

Preferred Qualifications

• Familiarity with large scale distributed systems.
• Experience working in high-growth teams similar to Stripe.
• If you meet the minimum requirements, we encourage you to apply. Preferred qualifications are beneficial but not mandatory.

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. 

We’re looking for a Senior Data Engineer to design, build, and operate the data pipelines and aggregates that power Zeta’s AdTech platform. This is a hands-on individual contributor role focused on high-scale batch + streaming data processing, reliable data products, and analytics-ready datasets that enable prediction, agentic workflows, BI reporting, and measurement. You will partner closely with backend, ML, and product teams to deliver trusted, well-modeled data with strong performance, quality, and observability.

What You’ll Do

• Build data pipelines: Develop robust batch and streaming pipelines (Kafka/Kinesis) to ingest, transform, and enrich large-scale event data (impressions, clicks, conversions, costs, identity signals).
• Create data aggregates & marts: Design and maintain curated aggregates and dimensional models for multiple consumers—prediction models, agents, BI dashboards, and measurement workflows.
• Data modeling & contracts: Define schemas, data contracts, and versioning strategies to keep downstream systems stable as sources evolve.
• Data quality & reliability: Implement validation, anomaly detection, backfills, and reconciliation to ensure completeness, correctness, and timeliness (SLAs/SLOs).
• Performance & cost optimization: Optimize compute/storage for scale (partitioning, file sizing, incremental processing, indexing), balancing latency, throughput, and cost.
• Orchestration & automation: Build repeatable workflows with scheduling/orchestration (e.g., Airflow, Dagster, Step Functions) and CI/CD for data pipelines.
• Observability for data systems: Instrument pipelines with metrics, logs, lineage, and alerting to accelerate detection and root-cause analysis of data issues.

Security & governance: Apply least-privilege access, PII-aware handling, and governance controls aligned with enterprise standards.

5+ years building production data pipelines and data products (batch and/or streaming) in a high-scale environment.

Strong experience with SQL and data modeling (dimensional modeling, star/snowflake schemas, event modeling).

• Hands-on experience with streaming systems (Kafka preferred) and/or AWS Kinesis, including event-driven designs.
• Proficiency in one or more languages used for data engineering (Python, Java, Scala, or Go).
• Experience with distributed data processing (Spark, Flink, or equivalent) and performance tuning at scale.
• Experience with AWS data services and cloud-native patterns (S3, Glue/EMR, Athena, Redshift, etc. as applicable).
• Familiarity with lakehouse/table formats and large-scale storage patterns (e.g., Parquet; Iceberg/Hudi/Delta are a plus).
• Experience with orchestration/workflow tooling (Airflow/Dagster/Step Functions) and CI/CD for data workloads.
• Strong data quality/observability practices (tests, monitoring, lineage; understanding of SLAs/SLOs).
• Experience with SQL + NoSQL data stores (e.g., Postgres/MySQL; DynamoDB/Cassandra/Redis) and choosing the right store per use case.

Clear communicator and collaborator; able to work with mixed audiences and translate needs into reliable data interfaces.

• AdTech / programmatic advertising domain knowledge: DSP/SSP/exchange/RTB concepts and data flows.
• Experience building measurement pipelines (attribution, incrementality, lift, or experimentation analytics).

Experience supporting ML feature stores, offline/online feature generation, or model training datasets.

• Experience with real-time analytics stores (Druid/ClickHouse/Pinot) and high-cardinality aggregation strategies.
• Deep knowledge of data governance/privacy, including PII handling and consent-aware data processing.
• Open-source contributions, publications, or conference speaking.
• BS/MS in CS/Engineering or equivalent practical experience.

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!

https://zetaglobal.com/press/?cat=press-releases 

As a Staff Backend Engineer, you will be a highly technical individual contributor responsible for designing, building, and optimizing the backend systems that power our low-latency ad platform. You will take the lead in developing scalable microservices and streaming data infrastructure to handle high-throughput workloads with minimal latency. This role requires deep expertise in distributed systems and real-time data processing (ideally in the programmatic advertising domain) to ensure our systems remain highly performant and reliable. You’ll work closely with product managers, data scientists, and other engineering teams to translate business needs into technical solutions and ensure the platform is fast, fault-tolerant, and observable. This role is based in the United States and can be performed remotely, with a preference for candidates who can join us in a hybrid capacity in San Francisco, New York, or Atlanta.

Responsibilities:

• System Architecture & Development: Lead the design and implementation of scalable, high-performance backend services, including microservices and APIs, that can efficiently handle large volumes of requests with low latency. Ensure the architecture accommodates real-time bidding and personalization use cases common in AdTech.
• Streaming Data Infrastructure: Develop and maintain streaming data pipelines and event-driven systems to process and analyze continuous data flows in real time (e.g., using Apache Kafka). Optimize data ingestion and processing for timeliness and accuracy to support downstream analytics and machine-learning models.
• Performance & Reliability: Ensure the backend systems are highly performant, resilient, and stable under heavy load. Implement robust fault-tolerance mechanisms and optimize for low-latency response times in a high-concurrency environment. Leverage observability best practices (comprehensive monitoring, logging, and tracing) to enable engineers to quickly analyze system behavior and take proactive measures to boost performance and reliability.
• Cross-Functional Collaboration: Work closely with cross-functional teams – including Product, Data Science, DevOps, and Frontend – to translate business requirements into scalable technical solutions. Facilitate effective communication and collaborative problem-solving to deliver new features and improvements that align with our product roadmap.
• Technical Leadership & Mentorship: Provide technical leadership within the engineering team without direct managerial duties. Guide and mentor junior engineers through code reviews, design discussions, and best practice adoption, fostering a culture of technical excellence and continuous improvement.
• Technical Strategy & Innovation: Stay abreast of emerging technologies and industry trends (e.g. new AWS services, streaming frameworks, database technologies) and evaluate their potential benefit to our platform. Contribute to the technical roadmap, making build-vs-buy recommendations and driving innovation to keep our systems ahead of the curve.

Required Qualifications:

• 8+ years of software engineering experience building backend systems, with 3+ years in a senior or lead role (e.g. Staff Engineer, Principal Engineer) in the AdTech or a similar high-volume, low-latency domain.
• Proven track record in designing and building high-throughput, low-latency distributed systems that operate at scale (e.g. handling thousands of requests per second or more).
• Expertise in microservices architecture and distributed system design, including experience decomposing monoliths or building greenfield microservices with well-defined APIs.
• Proficiency in Java and Go for backend development, and experience with Python for scripting, automation, or data processing tasks.
• Hands-on experience with streaming data technologies and event-driven frameworks, such as Apache Kafka (or AWS Kinesis), and possibly stream processing frameworks (Spark Streaming, Flink, or similar, experience with Apache Kafka is highly desired).
• Strong experience with cloud platforms (AWS preferred) and deploying services in a cloud-native environment. Familiarity with AWS components like EC2, S3, Lambda, SNS/SQS, etc., and ability to design cost-effective, performant cloud architectures.
• Experience with both SQL and NoSQL databases for high-volume applications. Comfortable with technologies like PostgreSQL/MySQL as well as key-value or wide-column stores (e.g. DynamoDB, Cassandra, Redis) for caching and fast lookups.
• Familiarity with containerization and orchestration tools (Docker, Kubernetes) and CI/CD pipelines to build and deploy microservices reliably.
• Deep understanding of system observability and monitoring – experience instrumenting applications and using monitoring/logging tools to ensure visibility into system performance (e.g. Prometheus, Grafana, ELK stack or similar).
• Excellent problem-solving and communication skills. Ability to communicate complex technical concepts clearly to cross-functional team members and stakeholders. Proven collaboration skills in an agile development environment.

Preferred Qualifications:

• Domain Expertise: Deep knowledge of the programmatic advertising ecosystem, including how Demand-Side Platforms (DSPs), Supply-Side Platforms (SSPs), ad exchanges, and real-time bidding (RTB) work together. Prior experience building or optimizing components of a DSP or ad server is a strong plus.
• High-Scale Data Processing: Experience designing systems that operate at extreme scale, such as real-time auction systems or high-frequency trading platforms, and optimizing algorithms for latency and throughput (e.g. understanding of auction theory or bidding optimization strategies).
• Data Pipelines & Analytics: Familiarity with big data processing and analytics pipelines (Spark, Hadoop, or columnar data stores) for batch and streaming workloads. Experience with data warehousing or real-time analytics databases (e.g. Druid, ClickHouse) is a plus.
• Advanced Performance Tuning: Demonstrated experience in performance profiling and optimization (e.g. JVM tuning, concurrency, GC optimization, network I/O) in large-scale Java or Go applications.
• Leadership in the Tech Community: A track record of contributing to open-source projects, technical publications, or speaking at industry conferences. Keeping on top of emerging trends and sharing knowledge both inside and outside the organization.
• Education: Bachelor’s degree in Computer Science, Engineering, or related field (Master’s or Ph.D. a plus), with strong foundations in algorithms and data structures.

Company Profile:

Zeta Global is a NYSE listed data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.

Our technology runs on the Zeta Marketing Platform, which powers ‘end to end’ marketing programs for some of the world’s leading brands. With expertise encompassing all digital marketing channels – Email, Display, Social, Search and Mobile – Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.

Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

As a Staff Backend Engineer, you will be a highly technical individual contributor responsible for designing, building, and optimizing the backend systems that power our low-latency ad platform. You will take the lead in developing scalable microservices and streaming data infrastructure to handle high-throughput workloads with minimal latency. This role requires deep expertise in distributed systems and real-time data processing (ideally in the programmatic advertising domain) to ensure our systems remain highly performant and reliable. You’ll work closely with product managers, data scientists, and other engineering teams to translate business needs into technical solutions and ensure the platform is fast, fault-tolerant, and observable. This role is based in the United States and can be performed remotely, with a preference for candidates who can join us in a hybrid capacity in San Francisco, New York, or Atlanta.

Key Responsibilities

• System Architecture & Development: Lead the design and implementation of scalable, high-performance backend services, including microservices and APIs, that can efficiently handle large volumes of requests with low latency. Ensure the architecture accommodates real-time bidding and personalization use cases common in AdTech.
• Streaming Data Infrastructure: Develop and maintain streaming data pipelines and event-driven systems to process and analyze continuous data flows in real time (e.g., using Apache Kafka). Optimize data ingestion and processing for timeliness and accuracy to support downstream analytics and machine-learning models.
• Performance & Reliability: Ensure the backend systems are highly performant, resilient, and stable under heavy load. Implement robust fault-tolerance mechanisms and optimize for low-latency response times in a high-concurrency environment. Leverage observability best practices (comprehensive monitoring, logging, and tracing) to enable engineers to quickly analyze system behavior and take proactive measures to boost performance and reliability.
• Cross-Functional Collaboration: Work closely with cross-functional teams – including Product, Data Science, DevOps, and Frontend – to translate business requirements into scalable technical solutions. Facilitate effective communication and collaborative problem-solving to deliver new features and improvements that align with our product roadmap.
• Technical Leadership & Mentorship: Provide technical leadership within the engineering team without direct managerial duties. Guide and mentor junior engineers through code reviews, design discussions, and best practice adoption, fostering a culture of technical excellence and continuous improvement.
• Technical Strategy & Innovation: Stay abreast of emerging technologies and industry trends (e.g. new AWS services, streaming frameworks, database technologies) and evaluate their potential benefit to our platform. Contribute to the technical roadmap, making build-vs-buy recommendations and driving innovation to keep our systems ahead of the curve.

Required Qualifications:

• 8+ years of software engineering experience building backend systems, with 3+ years in a senior or lead role (e.g. Staff Engineer, Principal Engineer) in the AdTech or a similar high-volume, low-latency domain.
• Proven track record in designing and building high-throughput, low-latency distributed systems that operate at scale (e.g. handling thousands of requests per second or more).
• Expertise in microservices architecture and distributed system design, including experience decomposing monoliths or building greenfield microservices with well-defined APIs.
• Proficiency in Java and Go for backend development, and experience with Python for scripting, automation, or data processing tasks.
• Hands-on experience with streaming data technologies and event-driven frameworks, such as Apache Kafka (or AWS Kinesis), and possibly stream processing frameworks (Spark Streaming, Flink, or similar, experience with Apache Kafka is highly desired).
• Strong experience with cloud platforms (AWS preferred) and deploying services in a cloud-native environment. Familiarity with AWS components like EC2, S3, Lambda, SNS/SQS, etc., and ability to design cost-effective, performant cloud architectures.
• Experience with both SQL and NoSQL databases for high-volume applications. Comfortable with technologies like PostgreSQL/MySQL as well as key-value or wide-column stores (e.g. DynamoDB, Cassandra, Redis) for caching and fast lookups.
• Familiarity with containerization and orchestration tools (Docker, Kubernetes) and CI/CD pipelines to build and deploy microservices reliably.
• Deep understanding of system observability and monitoring – experience instrumenting applications and using monitoring/logging tools to ensure visibility into system performance (e.g. Prometheus, Grafana, ELK stack or similar).
• Excellent problem-solving and communication skills. Ability to communicate complex technical concepts clearly to cross-functional team members and stakeholders. Proven collaboration skills in an agile development environment.

Preferred Qualifications:

• Domain Expertise: Deep knowledge of the programmatic advertising ecosystem, including how Demand-Side Platforms (DSPs), Supply-Side Platforms (SSPs), ad exchanges, and real-time bidding (RTB) work together. Prior experience building or optimizing components of a DSP or ad server is a strong plus.
• High-Scale Data Processing: Experience designing systems that operate at extreme scale, such as real-time auction systems or high-frequency trading platforms, and optimizing algorithms for latency and throughput (e.g. understanding of auction theory or bidding optimization strategies).
• Data Pipelines & Analytics: Familiarity with big data processing and analytics pipelines (Spark, Hadoop, or columnar data stores) for batch and streaming workloads. Experience with data warehousing or real-time analytics databases (e.g. Druid, ClickHouse) is a plus.
• Advanced Performance Tuning: Demonstrated experience in performance profiling and optimization (e.g. JVM tuning, concurrency, GC optimization, network I/O) in large-scale Java or Go applications.
• Leadership in the Tech Community: A track record of contributing to open-source projects, technical publications, or speaking at industry conferences. Keeping on top of emerging trends and sharing knowledge both inside and outside the organization.
• Education: Bachelor’s degree in Computer Science, Engineering, or related field (Master’s or Ph.D. a plus), with strong foundations in algorithms and data structures.

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!

https://zetaglobal.com/press/?cat=press-releases 

Zeta Marketing Platform (ZMP) is a machine learning/AI powered customer acquisition and CRM multi-tenant platform. The backend developer will work on server-side APIs and services that enable a highly distributed event pipeline and a stack that gets tens of thousands of messages per second.

As a senior member of the Software Engineering team, you will join the group responsible for designing, developing, and owning the distributed systems CRI 1 platform for Zeta. You will collaborate with your fellow Engineers and Product managers to develop a roadmap and subsequent projects to build the next generation comprehensive, multichannel marketing solution that unifies and unlocks data across digital touch points, driving return on marketing investment.

You should have a deep knowledge of distributed systems and cloud architecture. You will need extensive design and development experience and be passionate about working with high-throughput systems where the issues of throughput, performance, redundancy, and concurrency are paramount.

 Key Responsibilities:

 As a Senior Software Developer, you will be:

• Responsible for independently and cooperatively understanding business requirements, designing, and implementing core components for real-world marketing automation platform.
• Designing, implementing application code to satisfy product requirements
• Ensuring high product quality through rigorous code reviews and unit tests
• Fixing bugs and implementing enhancements
• Taking ownership of a significant product component in design and implementation

Requirements:

• We are looking for exceptional talent with superior academic credentials and a solid foundation in computer sciences and distributed systems design and development.
• The candidate will have at least 4 years of experience developing scalable, robust sohware platforms using Java/Ruby/Python or an equivalent language.
• An undergraduate degree in Computer Science (or a related field) from a university where the primary language of instruction is English is strongly desired.
• Strong communication skills in a large-distributed development team environment are essential.
• Experience in Advertising Attribution domain is a plus

Requirements:

• BS or MS in Computer Science or related field
• 4 - 8 years of working experience with J2EE technology, Python or equivalent OO paradigm
• Strong knowledge and experience with Kafka, Elastic Search, Airflow, NoSQL databases such as Aerospike,Thrift, Cl, and AWS.
• Experience with SQL languages
• Experience working with container-based solutions is a plus.
• Experience working in a fast-paced technology environment.
• Strong object-oriented programming and design skills.
• Excellent problem solving, critical thinking, and communication skills.
• Ability and desire to learn new skills and take on new tasks.

 Company Profile:

Zeta Global is a NYSE listed data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.

Our technology runs on the Zeta Marketing Platform, which powers ‘end to end’ marketing programs for some of the world’s leading brands. With expertise encompassing all digital marketing channels – Email, Display, Social, Search and Mobile – Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.

Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.

Zeta Global Recognized in Enterprise Marketing Software and Cross-Channel Campaign Management Reports by Independent Research Firm

https://www.forbes.com/sites/shelleykohan/2024/06/19/amazon-partners-with-zeta-global-to-deliver-gen-ai-marketing-automation/

https://www.cnbc.com/video/2024/05/06/zeta-global-ceo-david-steinberg-talks-ai-in-focus-at-milken-conference.html

https://www.businesswire.com/news/home/20240904622808/en/Zeta-Increases-3Q%E2%80%9924-Guidance

https://www.prnewswire.com/news-releases/zeta-global-opens-ai--data-labs-in-san-francisco-and-nyc-300945353.html

https://www.prnewswire.com/news-releases/zeta-global-recognized-in-enterprise-marketing-software-and-cross-channel-campaign-management-reports-by-independent-research-firm-300938241.html

We invite you to explore this opportunity to be a part of the Zeta family……

Should you need any assistance or require further information, please do not hesitate to contact us.

Greetings From Zeta Global !!

Requirements:

• Education:
• B.S. or M.S. in Computer Science or a related field.

• Experience:
• 8+ years of experience with UI Automation tools such as Selenium, and API automation works.
• 5+ years of experience working with Python and/or J2EE technology or equivalent OO paradigm.
• Experience with automating test validation either via API or through databases using Snowflake, HIVE, or AWS Athena is highly desirable.
• Web application testing experience required both in frontend and backend validations.
• Experience working in a fast-paced technology environment.

• Technical Skills:
• Knowledge and experience with Robot Framework and its libraries using Python.
• Strong proficiency in Python programming.
• Knowledgeable in Git workflows like branching, merging, and conflict resolution.
• Solid understanding of SDLC and Agile testing methodologies.
• Experience with Atlassian tools such as Jira and Confluence preferred.
• Knowledge and experience with Kafka, Elasticsearch, and SQL/NoSQL databases such as Aerospike, Thrift, CI, and AWS is highly desirable.
• Knowledge of other test automation frameworks such as Selenium, Appium, or Cucumber is a plus.
• Experience working with container-based solutions is a plus.

• Soft Skills:
• Strong communication and interpersonal skills.
• Excellent problem-solving, critical thinking, and analytical skills.
• Ability and desire to learn new skills and take on new tasks.

Responsibilities:

• Testing and Automation:
• Perform automated tests covering both frontend/UI and backend/API tests, analyze results, and report defects.
• Continuously improve the test automation strategy to enhance test coverage and efficiency.
• Proactively involve in the development of automation frameworks to satisfy business requirements as well as improve the performance and usability of the framework.
• Automate tests to ensure functional requirements and performance KPIs are met.
• Ensure high product quality through rigorous functional and API level tests.

• Collaboration and Mentorship:
• Understand business requirements independently and cooperatively.
• Mentor and guide other QA engineers on best practices in test automation.
• Collaborate with cross-functional teams to integrate automated tests into the CI/CD pipeline.

• Development and Documentation:
• Architect, design, and implement a reliable and scalable automation framework for a real-world machine learning platform.
• Develop comprehensive test plans covering business use cases and test cases.
• Identify, record, document thoroughly, and track bugs.
• Perform thorough regression testing when bugs are resolved.

Company Summary

 Zeta Global is a NYSE listed data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.

Our technology runs on the Zeta Marketing Platform, which powers ‘end to end’ marketing programs for some of the world’s leading brands. With expertise encompassing all digital marketing channels – Email, Display, Social, Search and Mobile – Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.

Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.

Zeta Global Recognized in Enterprise Marketing Software and Cross-Channel Campaign Management Reports by Independent Research Firm

https://www.forbes.com/sites/shelleykohan/2024/06/19/amazon-partners-with-zeta-global-to-deliver-gen-ai-marketing-automation/

https://www.cnbc.com/video/2024/05/06/zeta-global-ceo-david-steinberg-talks-ai-in-focus-at-milken-conference.html

https://www.businesswire.com/news/home/20240904622808/en/Zeta-Increases-3Q%E2%80%9924-Guidance

https://www.prnewswire.com/news-releases/zeta-global-opens-ai--data-labs-in-san-francisco-and-nyc-300945353.html

https://www.prnewswire.com/news-releases/zeta-global-recognized-in-enterprise-marketing-software-and-cross-channel-campaign-management-reports-by-independent-research-firm-300938241.html

We’re seeking a Senior Application Security Engineer to help strengthen Zeta’s application and platform security posture. You’ll play a critical role in embedding security throughout the software development lifecycle, ensuring our systems, applications, and AI-driven platforms are built securely from the ground up.

Zeta operates at massive scale, powering billions of consumer profiles and petabytes of data across real-time, AI-powered marketing platforms. In this role, you’ll collaborate with engineering and product teams to identify risks, implement secure design principles, and build automated controls that enable secure innovation.

This position offers significant technical scope, cross-functional visibility, and opportunities to contribute directly to the company’s overall security maturity.

Key Responsibilities:

Threat Modeling & Security Validation

• Conduct threat modeling and security reviews for distributed cloud-native systems.
• Perform security code reviews, static/dynamic analysis (SAST/DAST), and dependency scanning.
• Participate in incident response exercises and red/blue team simulations.
• Assess third-party libraries, APIs, and vendor integrations for security compliance.

Embedding Security into the SDLC

• Partner with developers and QA engineers to embed security testing into CI/CD pipelines.
• Review architecture and design documents to identify and mitigate risks early.
• Contribute to security automation initiatives and tooling to improve developer velocity.
• Support security checkpoints in release and deployment processes.

Emerging Threat Monitoring & Proactive Defense

• Stay current on evolving security risks, frameworks, and attack vectors, including AI/ML-specific threats (e.g., prompt injection, model poisoning).
• Assist in designing and deploying proactive defense mechanisms across applications and data platforms.
• Support investigations and post-incident reviews to strengthen detection and prevention capabilities.

Security Awareness & Policy Implementation

• Advocate secure coding and best practices through code reviews, workshops, and documentation.
• Contribute to internal security standards and playbooks.
• Collaborate closely with Engineering, DevOps, and Product teams to foster a security-first culture.

What You Need to Succeed

• Bachelor’s degree in computer science, Cybersecurity, or related field, or equivalent experience.
• 2 - 4 years of experience in Application Security, DevSecOps, or Secure Software Development.
• Strong understanding of OWASP Top 10, SANS CWE Top 25, and general application threat modeling.
• Experience with frameworks and architectures such as React, Node.js, Django, or FastAPI.
• Knowledge of securing APIs, microservices, and authentication mechanisms (OAuth2, OIDC, JWT).
• Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• Working knowledge of security testing tools (e.g., Semgrep, SonarQube, Burp Suite, Zap, Trivy).
• Solid collaboration and communication skills with cross-functional teams.

Nice to Have

• Familiarity with AI/ML security concepts such as data poisoning, adversarial testing, and model integrity.
• Experience with automation frameworks and scripting for security testing.
• Relevant certifications (e.g., OSCP, GWAPT, CSSLP, or ML/AI-specific security certifications)

WHO WE ARE

Zeta Global is a NYSE listed data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.

Our technology runs on the Zeta Marketing Platform, which powers ‘end to end’ marketing programs for some of the world’s leading brands. With expertise encompassing all digital marketing channels – Email, Display, Social, Search and Mobile – Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.

Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

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!

https://zetaglobal.com/press/?cat=press-releases 

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

  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/ 

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/ 

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.

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.

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 integrity of that system is not a feature. It is the foundation.

Open Problem
The fraud gets smarter every quarter. The models have to keep up.

Integrity isn't about whether you use AI or not; it's about whether you are following the rules. Our integrity system is a portfolio of signals spanning vision, code analysis, browser telemetry, and behavioral sequences. Each signal is independently trained, operates on a different modality, and has its own precision-recall tradeoff and failure distribution. That heterogeneity is not a design choice we made lightly. It reflects the fact that no single modality is sufficient, and that the most informative signal depends heavily on context. A model at 92% precision on today's proxy attempt patterns can sit at 74% within two quarters, not because the model degraded, but because the attack surface shifted and the training distribution did not.

The fusion problem is where current approaches hit a ceiling. Naive aggregation across signals does not work because the signals are not independent and their reliability varies with context. What is needed is calibrated uncertainty at the signal level, a principled way to weight evidence depending on conditions, and the ability to detect when a signal has drifted out of its reliable operating range. The field has good solutions for static multimodal fusion. It does not have good solutions for adversarially non-stationary multimodal fusion where the ground truth labels are expensive, delayed, and partially unobservable.

Latency adds a constraint that rules out many otherwise viable architectures. Inference runs during a live assessment, which bounds what is deployable regardless of accuracy. That means the model quality problem and the systems problem have to be solved together, not sequentially. And the system has to generalize across populations and environments it was not trained on, without encoding the kinds of demographic biases that make a technically accurate classifier practically indefensible.

The honest summary: the current generation of integrity tooling, ours and the market's, has a precision ceiling that the next wave of fraud techniques will break through. Raising that ceiling requires building past what exists, not fine-tuning it.

What you'll do

• Standardize how model quality is defined, measured, and reported across all integrity signals. Build the evaluation infrastructure, golden datasets, and benchmarking pipelines that give us and our customers genuine confidence in what we ship
• Own the performance improvement strategy for each signal. Explore newer architectures, emerging research, and different training paradigms. The approach will not be one-size-fits-all; it will be grounded in each signal's maturity, data quality, and what the science actually supports
• Define the ML strategy for new signals from scratch: audio analysis, gaze tracking, behavioral anomalies. Set the architecture, data requirements, and a clear bar for what production-ready looks like before anything ships
• Continuously monitor how assessment fraud tooling is evolving. Evaluate new models as they emerge. Know when to abandon a strategy that is no longer moving the needle
• Systematically surface edge cases, build training data around them, and turn every customer-reported failure into a model that is harder to fool
• Drive strategy-level decisions: which new signals to build, whether to use models at all, and what the evidence says

Who you are

• You have shipped ML systems in production that real users and real businesses depend on
• You have deep intuition for where precision leaks happen and how to find them systematically, not by luck
• You think in systems. A signal's accuracy number, its data pipeline, its serving infrastructure, and its customer-facing outcome are one problem to you
• You care as much about evaluation methodology as model performance. You know that a metric measured wrong is worse than no metric
• You are genuinely curious about adversarial dynamics. The fact that your model will be attacked is interesting to you, not exhausting

Even better if you have

• Experience with multimodal systems in production: vision, audio, or behavioral signal pipelines
• Background in adversarial ML or fraud/anomaly detection
• Publications or open-source work in detection, robustness, or model evaluation
• Prior experience defining what production-ready means for a new signal category from scratch

You will thrive in this role if

• You find the performance improvement  problem as interesting as the model problem. 
• You are energized by adversarial environments where the threat landscape shifts under your feet and the only valid response is to stay ahead of it. 
• You do not inherit clean problems and optimize within them. 
• You define what the problem even is, and you hold yourself to a higher bar than the one the market has set.

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.

The Challenge 

We are looking for a Senior level SDET to support our product development teams. As the Principal SDET, you will play a crucial role in shaping and leading our software testing strategy. You will be responsible for designing, developing, and implementing robust test automation frameworks, mentoring a team of SDETs (Software Development Engineer in Test), and ensuring the overall quality and reliability of our software products. 

Your Mission 

Access Management Engineering Team

The Okta Access Management Team builds the foundation for authentication and authorization across Okta-protected resources. Our mission is to enable customers to access these resources securely. We develop Okta cloud services and client software that allow users to seamlessly login to devices and use Okta authenticators to access applications securely. The Access Essentials team is part of Workforce Identity Cloud (WIC) Engineering. Our team is fast-growing and impactful at Okta. Join our team and develop foundational blocks for products that help our customers daily, such as Okta FastPass, Okta Device Assurance, and Okta Device Access. Learn more about Okta’s Engineering on our blog.

About You

The team is seeking a highly technical and experienced engineer on Android application platform & SDKs. The ideal candidate should have solid experience in software development and be enthusiastic about writing Android client software. The role gives the candidate an excellent opportunity to learn about interesting problems in the security and identity space.

• You will join the Android Client Foundations team to design and implement foundational blocks and core platform components for Okta’s mobile line of products like Android Okta Verify app, Fastpass, Device Assurance etc and public SDKs.
• You are a highly technical and experienced engineer. You have a passion for working on mobile platforms, with deep expertise and extensive experience on the Android platform.
• You have successfully built an enterprise or consumer product on the Android platform.
• You are comfortable leading the technical path of an organization breaking ground in a new frontier.
• You will enjoy a high degree of responsibility and impact within Okta.

Job Duties and Responsibilities

• Lead the design, development, and delivery of Okta products.
• Collaborate closely with product managers, designers, and backend engineers to translate requirements into robust and effective solutions.
• Commit to high programming standards by reviewing code and writing unit, functional, and UI tests.
• Optimize applications for speed, scalability, and responsiveness across various devices and browsers.
• Participate in code reviews, providing constructive feedback and ensuring code quality across the team.
• Proactively identify and address technical debt, performance bottlenecks, and areas for improvement.
• Stay up-to-date with the latest trends and technologies in Linux development, evaluating and recommending new tools and approaches.
• Champion a culture of continuous improvement, innovation, and technical excellence within the team.

Required Knowledge, Skills, And Abilities

• 10 - 15 years of professional software development experience

• Good understanding of design patterns, scalability patterns, security engineering, and object-oriented principles.
• Develop and maintain high-quality Android applications using Kotlin. 
• Experience working in fast-paced software development teams leveraging continuous integration and deployment practices.
• Strong communication skills and the ability to work across functions.
• Strong debugging and problem-solving skills to identify, diagnose, and resolve complex issues across various Android OS versions and device types.
• Proven track record of designing and implementing highly durable, resilient, and enterprise-grade secure solutions that withstand complex security threats.

Nice-to-haves

• Understanding of Identity and Access Management protocols and architecture (FIDO, U2F, WebAuth, SSO, SAML, Kerberos, OAuth, Federation, etc.)
• Security or Systems development experience on Android, such as root detection, code signing, or tamper resistance experience, PKI, SafetyNet.
• Knowledge of Mobile Device Management.
• Experience working on public-facing SDKs.

Education:

• Bachelor’s degree in Computer Science or equivalent experience.

#LI-Hybrid
#P25115_3437187

Job Title: GenAI Developer/ Engineer

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

Location - Bangalore

Experience - 6 to 10

Skills and Qualifications:

Preferred skills:

Programming: Advanced Python (async programming, OOP, REST APIs, FastAPI, Flask, Pandas, NumPy)

GenAI Frameworks: LangChain, LlamaIndex, Haystack, Semantic Kernel

Machine Learning and AI: Snowflake Cortex, TensorFlow, PyTorch

Key Responsibilities:

• Develop scalable Python applications focused on GenAI
• Knowledge of Snowflake Cortex is a big plus.
• Learn and apply techniques like document chunking and embeddings
• Proficient in both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra) databases, including schema design and optimization.
• Design, develop, and fine-tune applications built around foundation models (e.g., LLMs, multimodal models) for specific business needs
• Implement and experiment with generative AI techniques, including but not limited to Retrieval-Augmented Generation (RAG) and prompt engineering
• Lead the implementation of intelligent autonomous agents and multi-agent systems capable of complex decision-making, task execution, and interaction with external systems
• Utilize and contribute to agentic AI frameworks (e.g., LangChain, AutoGen, Semantic Kernel, Crew AI) to build robust and scalable AI agents
• Develop and integrate Model Context Protocol (MCP) solutions to standardize how AI applications access and utilize external data sources, tools, and real-time information
• Lead the development of full-stack applications that integrate generative AI models and agentic systems, ensuring seamless user experiences
• Work with front-end technologies (e.g., React, Angular, Vue.js, JavaScript, TypeScript, HTML, CSS) and back-end frameworks (e.g., Python with Flask/Django/FastAPI, Node.js, Go)
• Design and implement scalable RESTful APIs and microservices to expose AI functionalities
• Deploy, manage, and optimize AI/ML workloads and full-stack applications on at least one major cloud platform (AWS, Azure, or GCP)
• Implement LLMOps/MLOps and DevOps best practices for continuous integration, continuous delivery (CI/CD), model deployment, monitoring, and lifecycle management
• Follow coding best practices and contribute to testing and documentation
• Stay abreast of the latest advancements in generative AI, agentic systems, foundation models, and related fields through continuous research and experimentation
• Collaborate effectively with cross-functional teams, including product managers, data scientists, researchers, and other engineers
• Communicate effectively with both technical and non-technical team members, ensuring alignment and understanding across all project phases.

We are looking for a Solutions Engineer – Lead Engineer to join our Corporate Technology team. As a Solutions Engineer, you will be expected to leverage your extensive experience and technical expertise to design, implement, and optimize Windows-based solutions in enterprise environments.

What You'll Do:

• Architectural Design: Lead the design and development of complex solutions, ensuring alignment with business objectives and architectural principles.
• AI observability for platforms and assistants. Instrument agents and automations with metrics for accuracy, drift, latency, containment, and user satisfaction; wire dashboards (Grafana/ELK) and feedback loops into CI/CD so models and prompts improve continuously—consistent with the JD’s observability focus
• Technical Leadership: Provide guidance and mentorship to engineering teams in the implementation of Windows-based solutions, ensuring best practices and adherence to industry standards.
• Solution Development: Collaborate with cross-functional teams to translate business requirements into scalable and secure Windows architectures, integrating with existing systems and technologies.
• Technology Evaluation: Research and evaluate emerging technologies and tools, recommending innovative solutions to enhance system performance, reliability, and security.
• Risk Management: Identify and mitigate risks associated with Windows-based solutions, ensuring compliance with regulatory requirements and security standards.
• Troubleshooting and Optimization: Investigate and resolve complex technical issues related to Windows infrastructure, optimizing performance, and minimizing downtime.
• Automation and DevOps: Knowledge of Gitops, Scripting and automation would be an essential part of the role. Knowledge of writing automations in either PowerShell/Python would be a mandatory requirement for this role.

What You’ll Need:

• 6+ years architecting and implementing enterprise infrastructure solutions with a proven track record of designing scalable, resilient, and secure systems including integration with Windows and cloud platforms.
• Expertise in Windows Server, Active Directory, Microsoft Azure/AWS virtualization (EC2, Azure VMs, Azure Virtual Desktop), and Microsoft Defender. Knowledge of macOS integration with enterprise identity platforms (Active Directory, Azure AD, Okta), including single sign-on (SSO) and federated authentication. Ability to design and optimize multi-platform architectures (Windows, macOS, Linux) for scalability, resilience, and security.
• Proficiency with Microsoft Intune for endpoint management (MDM/MAM) and understanding of hybrid architecture and cloud shared responsibility model. Proficiency in macOS device management using tools such as Jamf Pro, Kandji, or Apple Business Manager, including MDM/MAM strategies for hybrid and multi-platform environments. Experience with automation and scripting on macOS (e.g., Bash, Zsh, AppleScript, Python), enabling workflow optimization and cross-platform orchestration
• Strong troubleshooting skills for macOS infrastructure, including performance optimization, incident response, and root cause analysis.
• PowerShell and Python coding/scripting capabilities for automation and workflow development
• Experience with GitOps, CI/CD pipelines, and Infrastructure as Code (Terraform, Ansible, ARM templates)
• Proficiency in cloud-native and multi-cloud architectures (Kubernetes, Docker, serverless)
• Familiarity with observability and monitoring platforms (Prometheus, Grafana, ELK stack) and AI-driven automation
• Familiarity with Exchange Online, SharePoint, Microsoft Power Platform would be a plus
• Experience implementing zero trust solutions (Zscaler, CrowdStrike) would be a plus
• Relevant certifications such as Microsoft Certified: Azure Solutions Architect Expert, MCSE: Core Infrastructure, or AWS Solutions Architect would be a plus
• Good to have exposure with AI/ML integration, data analytics, and automation in enterprise environments.

Arcesium's Personal Data Privacy Notice for Candidates is linked here. 

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.

About the Team

At Okta, we’re building the future of secure, enterprise-grade AI. We’re looking for a Staff AI Engineer to help design and scale our Agentic AI Platform — the foundation that enables enterprise teams to build, deploy, and manage intelligent AI agents securely and at scale.

As part of a global AI engineering team spanning the US and India, you’ll provide technical leadership, write hands-on code, and mentor peers while shaping platform capabilities that empower applied AI use cases across Okta.

What you'll do : 

• Design and develop platform services for AI agents, including orchestration, lifecycle management, observability, and guardrails.
• Collaborate daily with US counterparts to align on architecture, share roadmaps, and ensure global consistency.
• Build scalable APIs, frameworks, and reusable components that enable teams to rapidly create and deploy secure AI agents.
• Contribute to monitoring, evaluation, and governance features that make AI adoption safe, reliable, and enterprise-ready.
• Partner with Applied AI engineers, product managers, and designers to ensure the platform supports real-world use cases.
• Mentor engineers within the India team, raising the bar on technical craftsmanship and platform design.
• Stay current with advances in agentic AI, orchestration frameworks, and enterprise AI infrastructure.

What we are looking for:

• 8+ years of software engineering experience, with at least 3+ years in AI/ML platforms or intelligent automation.
• 5+ years in Python preferred, Java, Node.js, or Go.
• 3+ years with modern front-end frameworks (e.g., React, Vue, Angular), principles of accessibility (a11y), and an ability to collaborate effectively with Product & Design.
• Expertise in AI agent frameworks (LangGraph preferred), orchestration systems, vector databases, RAG pipelines, and monitoring/observability.
• Strong background in distributed systems, APIs, microservices, container orchestration (ECS/EKS), and cloud platforms (AWS/GCP/Azure).
• Experience building secure, enterprise-grade infrastructure for AI or ML workloads.
• Ability to influence architecture decisions, align with a global team, and set technical direction locally.
• Strong communication and collaboration skills to work effectively across time zones and global teams.

#Hybrid_Bengaluru
P19145__3321950

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 everyday?

We are looking for a Software Developer to join our Backend Engineering team. Specifically, you will be:

• Collaborating with the product, design and operations teams to build a world class product
• Developing, owning and maintaining highly scalable distributed services and solutions
• Implementing a microservices based architecture using Golang and Python
• Ensure application performance, uptime, and maintaining high standards of code quality
• Maintaining continuous integration and deployment tools; creating unit and integration tests for written software code

 Ok, you're sold, but what are we looking for in the perfect candidate?

• Expertise: You know how to code.  You understand our tech stack and can be productive with it. In other words, you’ve done this before.
• Action oriented: You love to build.  You like to ship fast and quickly iterate.
• Creativity: You enjoy listening to user feedback and then building product in novel ways. You’re resourceful and enjoy finding alternate paths to success.
• Problem solving: you use data to help point you in the correct direction.  You optimize relentlessly.  You think business and engineering problems are like puzzles and you stick with them until they are solved.
• Humility: You’re humble and love working in a team without ego to deliver products
• Adaptability:  You thrive in a fast-moving organization that uses light-weight process and cutting-edge technology to have a huge impact.
• Confidence: You trust your abilities and you’re ready to push yourself to the next level.

Qualifications*

• Strong product development experience in building distributed systems and microservices.
• 2 to 5 years experience 
• Strong programming skills on Linux using Go
• Strong foundation in data structures, algorithms and a strong understanding of concurrent programming
• Superior organization, written/verbal communication, interpersonal and leadership skills 
• Ability to collaborate effectively with cross functional teams to solve complex problems and building products spanning across geographically distributed teams to deliver end-to-end products & features
• Ability to multi-task and re-prioritize responsibilities based on changing requirements
• Bachelors/Masters degree in computer science or related field

It will be a huge plus if you have:

• Experience working with gRPC, gRPC context and Protocol Buffers
• Experience with infrastructure and systems engineering, and scaling services on cloud computing platforms like GCP

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.

The role is Design for Test (DFT) for high-performance designs going into industry leading AI/ML architectures. The person coming into this role will be involved in all implementation aspects from RTL to tapeout for various IPs on the chip. High level challenges include reducing test cost while attaining high coverage, and facilitating debug and yield learnings while minimizing design intrusions. The work is done collaboratively with a group of highly experienced engineers across various domains of the ASIC.

This role is hybrid, based out of Bangalore.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Responsibilities:

• Implementation of DFT features into RTL using verilog.
• Understanding of DFT Architectures and micro-architectures.
• ATPG and test coverage analysis using industry standard tools.
• JTAG, Scan Compression, and ASST implementation.
• Gate level simulation using Synopsys VCS and Verdi.
• Support silicon bring-up and debug.
• MBIST planning, implementation, and verification.
• Support Test Engineering on planning, patterns, and debug.
• Develop efficient DFx flows and methodology compatible with front end and physical design flows

Experience & Qualifications:

• BS/MS/PhD in EE/ECE/CE/CS with at least 5 years of industry experience in advanced DFx techniques.
• DFx experience implementing in finFET technologies.
• Experience with industry standard ATPG and DFx insertion CAD tools.
• Familiarity with SystemVerilog and UVM.
• Fluent in RTL coding for DFx logic including lock-up latches, clock gates, and scan anchors.
• Understanding of low-power design flows such as power gating, multi-Vt and voltage scaling.
• Good understanding of high-performance, low-power design fundamentals.
• Knowledge of fault models including Stuck-at, Transition, Gate-Exhaustive, Path Delay, IDDQ, and Cell Aware.
• Exposure to post-silicon testing and tester pattern debug are major assets.
• Experience with Fault Campaigns a plus.
• Strong problem solving and debug skills across various levels of design hierarchies.

Job Title: AI Applications Engineer II

Location: Bangalore/ Chennai (Hybrid)

About the Role

We’re looking for a passionate AI Applications Engineer II to join our growing Enterprise AI Team. In this role, you’ll help manage, support, and optimize our Google Gemini Enterprise agentic AI platform, ensuring it operates securely, efficiently, and at scale across the organization.

You’ll spend most of your time focused on Gemini Enterprise platform administration, governance, and support, along with some dedicated time to enhancing/building/doing POC work on agentic and automation projects that furthers performance, user experience, and integration with Five9 enterprise systems.

If you’re driven by innovation, precision, and the opportunity to shape how AI supports a global business, this is the role for you.

Key Responsibilities

• Administer, configure, and optimize Gemini Enterprise and related AI agentic functionality to ensure seamless performance and compliance within Five9 environments.
• Manage user provisioning, license assignments, access controls, and security policies, ensuring consistency with IT, Infosec and compliance governance standards.
• Oversee appropriate Google Cloud Platform (GCP) resources — including Project services, AI/ML engine, storage, and Gemini AI models — focusing on reliability, performance, and cost management.
• Support cloud run workflows, CI/CD automation pipelines, and containerized environments, leveraging tools such as Terraform, Docker, and Kubernetes.
• Partner with data engineers, DevOps teams, and business stakeholders to troubleshoot issues, implement updates, and ensure timely support for production workloads.
• Conduct prompt engineering and workflow optimization to improve agentic AI accuracy, responsiveness, and relevance.
• Maintain and update documentation, runbooks, and best practice guides for platform operations, deployment, and support.
• Deliver training and enablement sessions to end users and power users on Gemini Enterprise capabilities and AI use cases.
• Continuously evaluate emerging Google AI and Gemini agentic technologies, recommending improvements that enhance scalability and automation.

Key Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field (AI or data systems focus preferred).
• Minimum of 3 years of GCP experience supporting or developing AI/ML solutions on Google platform.
• Hands on experience with AI/ ML solutions/apps and operational best practices (ML Ops experience is advantageous).
• Proficiency with GCP services such as Compute Engine, IAM, Kubernetes, VPC, BQ, etc.
• Experience in automation and scripting using Python, Bash, and Infrastructure as Code (IaC) tools such as Terraform or Deployment Manager.
• Familiarity with Gemini Enterprise or similar enterprise AI frameworks, including prompt engineering, AI agent configuration, and data governance.
• Strong understanding of security, compliance, and auditing practices, including DLP, Access Transparency, and data residency standards.
• Excellent problem-solving, analytical, and troubleshooting skills.
• Strong interpersonal and communication abilities, with the capacity to explain technical topics to non-technical audiences.
• A passion for innovation, continuous learning, and driving impactful AI adoption across the enterprise.

Why You’ll Love Working Here

• Be part of a forward-thinking Enterprise AI Team, driving next-generation innovation across the company.
• Work hands-on with cutting-edge technologies like Google Gemini Enterprise and other agentic AI tools that power real-world business applications.
• Collaborate with skilled engineers, data scientists, and business leaders on high-visibility projects that make a measurable impact.
• Enjoy a culture that values experimentation, continuous learning, and teamwork, with opportunities to grow your skills in cloud operations and AI engineering.
• Play a key role in transforming enterprise workflows through AI innovation, scalability, and operational excellence.

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.

Our tech stack includes GCP, Kubernetes, Golang, Python, React, C++, TypeScript, JavaScript, Swift, Kotlin, gRPC, and GraphQL.

What will you do everyday?

You’ll create engaging product experiences on iOS/Android and services that delight and empower doctors with experiences that they could never imagine with their health IT systems.  You have an equal grasp of iOS and Android native development expertise in Swift/Objective-C/Kotlin/Java. You will work with the product, design and operations team to build the best product and support it. You will be DevOps friendly and you will write, test and deploy your own code.  While you know how to work hard, you also know how to have fun at work, make friends with your colleagues and contribute to our diverse and inclusive culture.  You will also contribute to making doctors’ lives better by reducing the administrative burden they face every day. You will be hungry to contribute and make a difference in the product quality.

Ok, you're sold, but what are we looking for in the perfect candidate?

• Expertise: you know how to code.  You understand our tech stack and can be productive with it. In other words, you’ve done this before.
• Action oriented: You love to build.  You know that perfect is the enemy of the good – you like to ship fast and quickly iterate.
• Creativity: You enjoy listening to user feedback and then building product in novel ways. You’re resourceful and enjoy finding alternate paths to success.
• Problem solving: you use data to help point you in the correct direction.  You optimize relentlessly.  You think business and engineering problems are like puzzles and you stick with them until they are solved.
• Humility: You’re humble and love working in a team without ego to deliver products
• Adaptability:  You thrive in a fast-moving organization that uses light-weight process and cutting-edge technology to have a huge impact.
• Confidence: You trust your abilities and you’re ready to push yourself to the next level.

Qualifications*

• 5 to 8 years of work experience
• Proficiency using Android SDK 
• Kotlin experience is a must. Swift is a plus.
• Experience with Android frameworks such as Jetpack compose
• Must have experience with testing tools like JUnit etc.
• Familiarity with RESTful APIs and third-party libraries (e.g., Retrofit, OkHttp, etc.).
• Experience building and shipping apps to Google Play store
• Must have at least 1+ apps on listed in Play store
• Experience in working with large scale distributed applications
• DevOps experience is a plus as well
• Any formal degree is preferred, but not necessary
• Strong grasp of CS fundamentals including algorithms, data structures and design is preferred
• Bachelors/Masters degree from a Tier 1 college or university

* We don’t necessarily expect to find a candidate that has done everything listed, but you should be able to make a credible case that you’ve done most of it and are ready for the challenge of adding some new things to your resume.

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.

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.

The Product

Auth0 is a developer-friendly identity platform that simplifies authentication and authorization for applications. 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-Ø global service to deliver convenience, privacy, and security so customers can focus on innovation. Know more about our product at https://auth0.com/.

The Role

We are hiring for a new team within Core Identity, the Engineering organization entrusted with the very heart of the Auth0 application. Our teams own the authentication pipeline, identity protocols, user sessions, and all the fundamental concepts and foundational elements that underpin our entire product. We are also the stewards of the platform's technical health, performance, and efficiency.

As a Senior Engineer for this new team, named Core Frontier, you will operate at the vital intersection of deep product innovation and the global customer experience. Your mission is to ensure that the sophisticated features developed across the Core Identity organization (such as Native to Web, Cross-App Access and Custom Token Exchange) are hardened, scaled, and seamlessly integrated into the Auth0 ecosystem. You will act as the architectural bridge, ensuring that complex internal logic translates into a polished, secure, and high-performance experience that millions of developers and end-users interact with every day.

This is an opportunity to solve complex distributed systems challenges at a global scale, whilst providing a delightful and secure experience for our customers. You will primarily work with our NodeJS backend (TypeScript/JavaScript), with data stored in MongoDB, PostgreSQL, and Redis, all running on a multi-cloud infrastructure (AWS and Azure). If you have a passion for simplifying complex problems, building resilient and secure software, and care deeply about the final "feel" of a product, we encourage you to apply. Experience with or an interest in Identity and Access Management is highly valued.

What you will do: 

• Be a founding engineer of this new team in Bengaluru, setting the technical bar and engineering culture for our growing presence in the region and working in collaboration with our global teams in Europe and North America.
• Build and design  innovative features that extend the capabilities of Auth0’s platform to help our customers innovate around the world securely and delightfully.
• Contribute to the strategic technical quality, security, reliability, and scalability of our systems, and advocate for engineering best practices.
• Thrive in a highly collaborative and cross-functional environment, working with talented engineers and partners across Product, Security, Design, Architecture and QA to deliver features that delight our customers and ensure a unified technical vision.
• Deepen or gain expertise in identity, security, and modern cloud technologies (AWS, Azure) while working on distributed systems at scale.
• Mentor and be mentored by other engineers and contribute to our culture of technical excellence and continuous improvement.
• Participate in an on-call rotation to ensure our critical services remain healthy and reliable.

What you will bring:

• 5+ years of professional software development experience, or equivalent.
• Proficiency in designing and  building services with Node.js (JavaScript or TypeScript).
• Experience creating and maintaining public and secure APIs, as well as front ends.
• Experience designing, building, and operating distributed systems in a cloud environment (e.g., AWS, Azure).
• A strong commitment to quality, with experience in various testing strategies (e.g., unit, integration, end-to-end).
• A product-oriented mindset, with the ability to understand customer needs and work collaboratively to find effective solutions.

Nice to have:

• Experience in the Identity and Access Management (IAM) domain.
• Knowledge of security engineering principles and application security best practices.

What you can look forward to as an Okta employee!

• Amazing Benefits
• Making Social Impact
• Developing Talent and Fostering Connection + Community 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. 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.

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-Hybrid

As a Software Development in Test Engineer, you will be tasked with full responsibility for the design, implementation, and maintenance of Automated tests using object-oriented frameworks and AI. We're looking for a new team member who is versatile and knows exactly how to improve processes and make them more efficient to make sure we have a winning product. The ideal candidate has a strong technical background in software automation development, sees the big picture and has the “can do” attitude.

What Will You Do?

Primary responsibilities include:

• Design, develop (Python//TypeScript) and implement automation tests in all components of SentinelOne products with main focus on our SAAS platform and its EndPoint Protection services
• Testing the quality of SentinelOne EPP/EDR solutions
• Triage and automate the triaging of test execution results
• Ensure coverage on critical components and close any test gaps that have been identified
• Work closely with other automation engineers, developers and product managers to ensure high quality products

What Skills and Knowledge Will You Bring?

Ideal candidates will have:

• Proven experience in automation development testing multi-layered products 
• Previous experience in testing SAAS products (cloud based) 
• Experience with Python using Pytest framework
• Experience with Dockers
• Ability to reproduce issues and work closely with development to resolve them
• Debugging skills and ability to investigate and triage difficult problems
• Experience in SW validation methodologies and concepts, testing and integration
• Strong self-management capabilities: proactive, initiative, self-learner, team player

Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

• Flexible working hours and hybrid/remote work model.
• Flexible Time Off.
• Flexible Paid Sick Days.
• Global gender-neutral Parental Leave (16 weeks, beyond the leave provided by the local laws) 
• Generous employee stock plan in the form of RSUs (restricted stock units)
• On top of RSUs, you can benefit from our attractive ESPP (employee stock purchase plan)
• Gym membership/sports gears by Cultfit.
• Wellness Coach app, with 3,000+ on-demand sessions, daily interactive classes, audiobooks, and unlimited private coaching. 
• Private medical insurance plan for you and your family.
• Life Insurance covered by S1 (for employees)
• Telemedical app consultation (Practo)
• Global Employee Assistance Program (confidential counseling related to both personal and work life matters)
• High-end MacBook or Windows laptop.
• Home-office-setup allowances (one time) and maintenance allowance. 
• Internet allowances.
• Provident Fund and Gratuity (as per govt clause)
• NPS contribution (Employee contribution)
• Half yearly bonus program depending on the individual and company performance.
• Above standard referral bonus as per policy.

As a Senior Software Development in Test Engineer, you will be tasked with full responsibility for the design, implementation, and maintenance of Automated tests using object-oriented frameworks and AI. We're looking for a new team member who is versatile and knows exactly how to improve processes and make them more efficient to make sure we have a winning product. The ideal candidate has a strong technical background in software automation development, sees the big picture and has the “can do” attitude. Primary responsibilities include:

What Will You Do?

Primary responsibilities include:

• Design, develop (Python//TypeScript) and implement automation tests in all components of SentinelOne products with main focus on our SAAS platform and its EndPoint Protection services
• Testing the quality of SentinelOne EPP/EDR solutions
• Triage and automate the triaging of test execution results
• Ensure coverage on critical components and close any test gaps that have been identified
• Work closely with other automation engineers, developers and product managers to ensure high quality products

What Skills and Knowledge Will You Bring?

Ideal candidates will have:

• Proven experience in automation development testing multi-layered products 
• Previous experience in testing SAAS products (cloud based) 
• Experience with Python using Pytest framework
• Experience with Dockers
• Ability to reproduce issues and work closely with development to resolve them
• Debugging skills and ability to investigate and triage difficult problems
• Experience in SW validation methodologies and concepts, testing and integration
• Strong self-management capabilities: proactive, initiative, self-learner, team player

Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

• Flexible working hours and hybrid/remote work model.
• Flexible Time Off.
• Flexible Paid Sick Days.
• Global gender-neutral Parental Leave (16 weeks, beyond the leave provided by the local laws) 
• Generous employee stock plan in the form of RSUs (restricted stock units)
• On top of RSUs, you can benefit from our attractive ESPP (employee stock purchase plan)
• Gym membership/sports gears by Cultfit.
• Wellness Coach app, with 3,000+ on-demand sessions, daily interactive classes, audiobooks, and unlimited private coaching. 
• Private medical insurance plan for you and your family.
• Life Insurance covered by S1 (for employees)
• Telemedical app consultation (Practo)
• Global Employee Assistance Program (confidential counseling related to both personal and work life matters)
• High-end MacBook or Windows laptop.
• Home-office-setup allowances (one time) and maintenance allowance. 
• Internet allowances.
• Provident Fund and Gratuity (as per govt clause)
• NPS contribution (Employee contribution)
• Half yearly bonus program depending on the individual and company performance.
• Above standard referral bonus as per policy.

Company Description:

Okta is an integrated identity and mobility management service. Built from the ground up in the cloud, Okta securely and simply connects people to their applications from any device, anywhere, at anytime. Okta integrates with existing directories and identity systems, as well as thousands of on-premises, cloud and mobile applications, and runs on a secure, reliable and extensively audited cloud-based platform.

More than 5,000 customers, including Adobe, Allergan, Chiquita, LinkedIn, MGM Resorts International, Shire Pharmaceuticals and Western Union, use Okta to improve employee productivity, increase supply chain efficiency and revenue and improve compliance. The thousands of enterprises and cloud vendors, as well as the millions of people using Okta, are the foundation of the industry's fastest growing IT network for the cloud and mobile world. Okta is backed by premier venture capital firms Andreessen Horowitz, Greylock Partners, Khosla Ventures and Sequoia Capital. To learn more about Okta, visit: https://www.okta.com.

Position Description:

Okta Engineering is looking for a Software Engineer Manager to help us scale and increase velocity. You will be driving and perfecting our vision of Continuous Delivery, increasing the velocity and productivity of engineering.  You will work with a wide range of stakeholders and partners, including Engineers, Architects, Operations, Program Management, and Quality. We have a great team driving innovative projects--join us and bring your ideas!

Job Duties and Responsibilities:

• Drive the strategy for building and incorporating AI/ML-powered tools to enhance developer velocity, automate complex tasks in the Continuous Integration, and provide intelligent insights into system performance and code quality.
• Ability to articulate and drive a technical, strategic vision and roadmap
• Collaborate with Engineering, Security, Program Management, Operations  and other scrum teams.
• Recruit and mentor a globally distributed and talented group of diverse employees
• Build high quality tools and automation for internal use to support continuous delivery and developer productivity 
• Roll out deliverables to internal customers in phases, monitor adoption, collect feedback, and fine-tune the project to respond to internal customers’ needs.
• Champion engineering and operational excellence, establishing metrics and process for regular assessment and improvement
• Foster, enable and promote innovation

REQUIRED Knowledge, Skills, and Abilities:

• A track record of leading or managing high performing platform teams (3 year experience minimum) 
• Experience with end to end project delivery; building roadmaps through operational sustainability
• Strong facilitation skills (design, requirements gathering, progress and status sessions)
• Production experience with distributed systems running in AWS. GCP a bonus
• Passion about automation and leveraging agile software development methodologies
• Experience in developing Continuous Delivery pipelines for a diverse set of projects using Java, Jenkins, AWS, Docker, Python, Ruby, Bash, and more 
• Experience in building internal developer tools

Education and Training:

• B.S. in CS or equivalent

#LI-Hybrid

P23452_3391493

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. 

Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide.

Living our values every day results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves.

Our Global Voice Team is looking for a committed, experienced Software Engineer II who is passionate about creating high-performing, scalable, and resilient mission-critical services that form the foundation of Five9’s next-generation contact center platform. You will have the opportunity to combine your existing expertise with new learnings, crafting bespoke solutions that serve our customers and partners.

Responsibilities:

• Participate in an Agile Scrum team that practices DevOps.
• Write clean, well-documented code and corresponding tests.
• Deliver your code as part of an overall solution running in the public cloud.
• Develop and enhance our Media Server to support real-time integrations with Large Language Models (LLMs) and other AI services.

Required Skills:

• 3+ years of professional experience in software development, including experience in C and/or C++.
• Hands-on experience developing software for real-time communications signaling and media protocols (e.g., SIP, RTP).
• Ability to methodically troubleshoot complex systems.
• Excellent communication and organizational skills, with a strong sense of ownership.

Technical Skills:

• Modern C++ (C++17+)
• RTP/SIP, audio codecs, SIP/SDP
• ASR/TTS integration
• AI APIs
• Cloud platforms (AWS, Azure, GCP)
• CI/CD
• Containers
• Site Reliability Engineering (SRE) principles
• AI/ML and Large Language Models (LLMs)

 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/ 

Okta Workflows is the secure, no-code automation platform that empowers organizations to build identity-centric workflows across cloud applications — all without writing code. Our intuitive drag-and-drop interface allows enterprises to automate complex business processes at scale, enhancing productivity, enforcing security, and simplifying IT operations.

Customers like Netflix, MGM, and NTT rely on Workflows to automate high-impact identity scenarios with speed and confidence. As we continue to scale, we’re investing in extensibility, developer experience, and performance. Join us to help shape the future of cloud automation and low-code development.

Location: Bengaluru, Karnataka, India

Work Mode: Hybrid (2-3 days Onsite per week)

Note: "This role requires in-person onboarding and travel to our Bengaluru, IN office during the first week of employment."

Position Description

We’re hiring a Staff Full-Stack Engineer to join the Flow builder team within Okta Workflows. This team owns the core no-code canvas that enables both internal teams and our customers to build powerful automation experiences with ease.

As a Staff Engineer, you’ll lead initiatives that span front-end and back-end services — delivering performant, secure, and scalable features. You’ll help define architecture, drive implementation, and collaborate closely with Design, PM, and Platform teams. You’ll also work directly with our technical architects to help shape what we build — and how we build it. This is a high-impact role in a growing, strategic product area with strong executive visibility.

Role Details:

• Design, build, and maintain end-to-end features using modern JavaScript and cloud-native technologies (React, Node.js, TypeScript, PostgreSQL).
• Lead technical design for key initiatives, driving quality, scalability, and maintainability.
• Build reusable and performant UI components for a best-in-class no-code builder experience.
• Own services throughout their lifecycle — including implementation, testing, deployment, observability, and incident response.
• Work closely with Product, Design, and Architecture to define the “what” and “how” of features, ensuring solutions are both user-friendly and technically sound.
• Partner with infrastructure and platform teams to optimize system performance and reliability.
• Mentor and support engineers across the team, fostering a culture of quality, ownership, and continuous improvement.
• Contribute to cross-functional planning, architectural reviews, and team-wide engineering practices.

Experience: 

• 8+ years of experience building modern web applications in a full-stack environment.
• Deep expertise in TypeScript, ReactJS, and Node.js (Express or similar frameworks).
• Experience designing APIs and building robust services at scale in a distributed, cloud-based architecture.
• Experience with PostgreSQL, Docker, and Kubernetes.
• Experience delivering elegant, enterprise-grade user experiences by partnering with Product and Design teams in a fast-paced, agile environment.
• Ability to collaborate closely with Architects to make smart technical tradeoffs, and drive alignment across teams.
• Passion for craftsmanship and high engineering standards (testing, monitoring, documentation, scalability).
• Excellent communication skills, with the ability to lead technical discussions and build consensus across functions.
• A growth mindset and interest in mentoring others and upleveling the team.

Nice to Haves:

• Exposure to low-code/no-code tools, workflow engines, or visual development platforms.
• Interest in AI-assisted developer tooling or automation.

Education and Training:

• Bachelor’s in computer science, or relevant industry experience

#LI-Hybrid

P18167_3215349

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/ 

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

Staff Embedded SW/FW Engineer (Bringup)

Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption.  

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Bengaluru which will play a central role in Graphcore's work building the future of AI computing.

Job Summary

We have an exciting opportunity to be part of a collaborative, cross-functional development team developing C code used to validate cutting-edge, high-performance AI chips and platforms. You will play a critical role in supporting new product introductions and post-silicon validation.

Working within the Post-Silicon Bringup team, you will be involved with bringing first silicon to life, developing code primarily in C to configure and exercise systems and sub-systems on new silicon devices, and working closely with many other teams to help it become a fully characterised and working product, reporting project status/progress to program management on a regular basis. You will have the opportunity to, and be responsible for, leading, mentoring, and providing technical guidance to other engineering team members. In this role, you can leverage your experience and industry knowledge to architect and drive implementation of continuous improvements to test infrastructure and processes.

The Team

The Post-Silicon Bringup team sits within the Architecture and Validation team, we are responsible for bringup and validation of new silicon when it returns from manufacture, enabling and supporting the production SW and FW teams to bring up their software and supporting the Silicon Characterisation team. 

Responsibilities and Duties

• Plan, design, develop and debug silicon bringup sequences and test in bare metal C/C++ on FPGA/Emulator prior to first silicon
• Deploy configuration sequences and validation tests on first silicon and debug them
• Develop automated test framework and regression test suites in Python to optimize validation efficiency
• Collaborate closely with engineers from many other disciplines on a variety of topics
• Work with Validation and Production Test engineering peers to implement best practices and continuous improvements to test methodologies
• Analyse test results, identify and debug failures/defects
• Contribute to shared test and validation infrastructure
• Provide feedback to architects

Candidate Profile

Essential:

• Strong experience in Bare metal / embedded C/C++
• Good knowledge of digital ASICs.
• Be highly motivated, a self starter, and a team player 
• Ability to work across teams and programming languages to find root causes of deep and complex issues
• Experience of the post-silicon validation process applied in digital ASIC environments
• Python, Linux
• Excellent communication skills and the ability to collaborate with others to solve problems.
• Excellent problem-solving, analytical & diagnostic skills

Desirable:

• Driver level experience with one or more of the following is highly desirable:

• PCIe
• Ethernet
• Memory technologies (LPDDR, DDR, HBM, …)
• Other peripherals such as I2C, I3C, SPI, …

• Good knowledge of mixed-signal building blocks such as PLLs, high speed PHYs and IC control/communication protocols is highly desirable.
• Experience of Arm CPUs, System IP and debug tools.
• Experience of AMBA protocols.
• Understanding of ML applications and their workloads.
• Experience in Characterization, Failure Analysis, Test Development, Statistical analysis, and Customer Support

Benefits:

In addition to a competitive salary, Graphcore offers a competitive benefits package. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. 

Principal Embedded SW/FW Engineer (Bringup) - Bengaluru, multiple vacancies 

Job Summary

We have an exciting opportunity to be part of a collaborative, cross-functional development team validating cutting-edge, high-performance AI chips and platforms.

 You will play a key role in supporting new product introductions and post-silicon validation.

Working within the Post-Silicon Validation team, you will be involved with bringing first silicon to life, functionally validating it and working closely with many other teams to help it become a fully characterised and working product, reporting project status/progress to program management on a regular basis. You will have the opportunity to provide technical guidance to other engineering team members. In this role, you can leverage our experience and industry knowledge to architect and drive implementation of continuous improvements to test infrastructure and processes.

The Team

The Post-Silicon Bringup team sits within the Architecture and Validation team, we are responsible for bringup and validation of new silicon when it returns from manufacture, enabling and supporting the production SW and FW teams to bring up their software and supporting the Silicon Characterisation team.

Responsibilities and Duties

• Plan, design, develop and debug silicon validation tests in bare metal C/C++ on FPGA/Emulator prior to first silicon
• Deploy silicon validation tests on first silicon and debugging them
• Develop automated test framework and regression test suites in Python to optimize validation efficiency
• Collaborate closely with engineers from many other disciplines on a variety of topics
• Work with Validation and Production Test engineering peers to implement best practices and continuous improvements to test methodologies
• Analyse test results, identify and debug failures/defects
• Contribute to shared test and validation infrastructure
• Provide feedback to architects

Candidate Profile 

Essential:

• Understanding of ML applications and their workloads
• A self-starter who can apply independent judgement
• A team player able to lead and support colleagues with difficult concepts
• Strong experience in Bare metal / embedded C/C++

• Excellent problem-solving, analytical & diagnostic skills

• Ability to work across teams and programming languages to find root causes of critical and complex issues

• Experience of the post-silicon validation process applied in digital ASIC environments

• Python, Linux

• Excellent communication skills and the ability to explain difficult concepts to resolve issues 

Desirable

• 10+ years  experience 
• Experience building and leading, multi-site teams
• Driver level experience with one or more of the following is highly desirable:

• PCIe
• Ethernet
• Memory technologies (LPDDR, DDR, HBM, …)
• Other peripherals such as I2C, I3C, SPI, …

• Good knowledge of mixed-signal building blocks such as PLLs, high speed PHYs and IC control/communication protocols is highly desirable.
• Experience of Arm CPUs, System IP and debug tools.
• Experience of AMBA protocols.
• Experience in Characterization, Failure Analysis, Test Development, Statistical analysis, 

Auth0 is an easy-to-implement, authentication and authorization platform designed by developers for developers. We make applications’ login boxes safe, secure, and seamless for anyone logging in.

The Auth0 Data Engineering Team

Within Auth0, the Data Engineering team builds solutions to support analytics needs for the whole organization and is in charge of the Data Platform. It is divided into 3 groups:

• Pipeline team, sitting closer to the Platform team and data producers and in charge of the efficient data ingestion and provision of quick access to unmodeled data
• Warehouse team sitting closer to the business teams and data consumers and in charge of modeling the data in the data warehouse to abstract away the complexity for data consumers, simplifying the organization’s analysis, reporting and decision-making
• Interface team responsible for creating and managing connections between the data platform and various external systems (internal or external facing), making sure everyone has access to consistent and reliable data

The Senior Data Engineer Opportunity

Reporting to the manager of the Data Engineering Pipeline team, the senior data engineer will be a key player in ensuring the reliability and efficiency of our core data platform. This role is crucial, providing the stable data foundation that not only 'runs the business' day-to-day but also directly empowers the organization to unlock growth and build innovative new products. We are looking for an autonomous and proactive engineer who can take ownership of our data ingestion pipelines, work closely with platform teams and data producers, and onboard new data from various internal and external systems. You will be part of a team creating robust, scalable data solutions using a modern, best-in-class toolset.

What you’ll be doing 

• Own and operate our critical data pipelines and infrastructure, participating in the team's support rotation to ensure high availability and business continuity.
• Lead troubleshooting efforts to fix complex pipeline or infrastructure issues, demonstrating a willingness to go beyond the direct scope of the team to find resolutions.
• Manage the data onboarding lifecycle, working with stakeholders to integrate new internal and external data sources into our platform using our suite of tools.
• Develop and deploy robust, scalable data solutions using modern tools and technologies like Snowflake, dbt, Airflow, and Terraform.
• Continuously learn and advocate for modern technologies and best practices to improve data delivery and engineering efficiency.

What you’ll bring to the role

• 5+ years of software development experience, with at least 3+ years working on large-scale data systems.
• Strong proficiency in SQL for data manipulation and Python for data pipeline development.
• Hands-on experience building and operating data pipelines in a cloud environment (AWS preferred).
• Hands-on experience with the modern data stack, specifically:
• Data Warehousing: Snowflake
• Data Transformation: dbt
• Infrastructure as Code: Terraform
• Experience with data ingestion, streaming, and event-driven architecture (e.g., Kafka, CDC, Snowpipe).
• Knowledge of data security and data privacy best practices
• A strong understanding of data modeling principles 
• data security best practices.
• A highly autonomous and proactive mindset. You are a quick learner who can self-motivate, prioritize needs, and deliver results in a dynamic environment.

And extra credit if you have experience in any of the following! 

• Experience with Snowpark.
• Experience with containerization and orchestration (Kubernetes is a nice to have).
• Familiarity with the Identity Access & Management (IAM) domain.
• Experience building developer-friendly, API-driven applications using REST and/or gRPC.

P24586_3348463

#LI_Hybrid

The Okta Customer Identity Cloud (CIC) is a product unit of Okta focussed on the Customer Identity and Access Management (CIAM) space. We are looking for exceptional new team members to join our team and help drive our next level of success. One team, one score!

Our vision is to free everyone to safely use any technology.  We provide secure access for everyone, but not just anyone. We process billions of logins per month (and growing!). So, if you’re a big thinker who is nimble and adaptable, Okta CIC may be an ideal place for you to shine.

The Team & Role:

Okta is looking for a Software Engineering Manager to lead our Load Testing team. 

Okta’s customer identity business is growing and evolving quickly.  Traffic volume has grown substantially and new features are continually introduced.  As a cloud-based SaaS provider, bringing scalable, high performance identity solutions to production at an attractive price is a priority for our business.  The Performance Engineering team has a cross-functional charter that involves investigating, identifying, and remediating performance bottlenecks across all parts of our distributed system machinery.  This includes the code we write, datastores, messaging systems, infrastructure, and the points at which different parts of the system communicate with one another.  The Load Testing team works closely with component owners, platform teams and testing teams to provide high levels of application coverage scenarios. These scenarios simulate load and demonstrate utilization of our application components, APIs and validate our overall scalability and reliability footprint. Load tests are the foundation of our overall performance program.  

What You Will Do

• As an Engineering Manager, you will build and lead a team of performance load testing engineers. You will implement agile processes, ensure accountability and enable a team of high impact contributors to deliver simulated load covering tens of thousands of permutations.
• Build and maintain a backlog of high impact load tests that will drive increased visibility into our performance profiles. 
• Set the bar for technical execution and participation across your team. 
• Encourage a technical growth mindset and advocate for process improvements, velocity metrics and best in class team management techniques. 
• You will partner with other testing managers to build a cohesive approach to integration, system and benchmark testing and environments. 
• You will nurture a “shift left” culture for performance.  You will work to improve knowledge and awareness of performance management techniques, tools, patterns, and solutions throughout Engineering in order to address performance issues earlier in the software development life cycle.
• You will have the opportunity to work with all parts of the Customer Identity Cloud service offering, including code, infrastructure, and architecture.

What You Bring

• Strong technical background with previous experience as a developer or systems engineer. 
• Experience leading software development or QA testing teams. 
• Strong self-motivation and aptitude for investigation and experimentation.
• Expert level knowledge with load testing tooling, including Apache Bench, Artillery, K6, etc…
• A partnership mindset, focusing on collaboration across teams and supporting feature teams through process and vision alignment. 
• Experience with application software in Node.js using frameworks such as Hapi.js or Fastify.  Familiarity with Golang is also a plus.
• Experience with API-driven cloud-native distributed system application architecture running in Kubernetes, AWS, and Azure.
• Experience with APM tools such as Datadog APM, Splunk, Honeycomb, New Relic, Dynatrace, or similar.
• Familiarity with PostgreSQL and MongoDB.
• Experience designing and executing performance experiments designed to validate performance improvements in key metrics such as requests per second (RPS), P95 and P99 latency, query performance, request concurrency, CPU/memory utilization, and cost efficiency.
• Excellent written and verbal communication skills.  In particular, the ability to convey technical issues and solutions in written form and work with disparate teams is important in a remote-friendly team.
• Passion for driving performance improvement in software without sacrificing reliability or security.
• Excellent collaboration skills and a track record of cross-functional collaboration.  One team, one score!

(P24591_3366720)Bengaluru

#LI_Hybrid