Secure Every Identity, from AI to Human

Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

Okta seeks a skilled Staff Full Stack Engineer with expertise in NetSuite and/or  Oracle Fusion Cloud Applications. As part of our Business Technology team, you will be responsible for developing and optimizing full-stack solutions, including custom scripts, workflows, integrations, and system enhancements for both NetSuite and Oracle Fusion to improve business processes and scalability. This role will report to the Manager in Bangalore, India. We’d love to hear from you!

Job Duties and Responsibilities

• Design, develop, and maintain full-stack solutions for Finance Tech stack like NetSuite, Coupa and Oracle Fusion Cloud Applications etc., using any of the full-stack applications like Node Js/React
• Develop and maintain robust off-platform integration scripts using Python & LangChain to manage data transfer and interactions between NetSuite (via SuiteTalk or RESTlets) and AI Platforms
• Architect and implement scalable, secure, and cost-efficient cloud-native solutions on AWS for RAG, MCP, and Agentic AI (LangGraph) 
• Closely work with the BT Product Manager to design, develop, test, implement & support system solutions primarily in Finance Technology
• Provide technical consultation, best practices, and problem resolution for AI and Agentic AI for the Finance tech stack NetSuite, Oracle Fusion, and associated integrated systems
• Support & resolve production issues across the full application stack
• Develop and maintain integrations with third-party applications via REST/SOAP APIs
• Design and implement custom Generative AI solutions using the SuiteScript Generative AI API for practical NetSuite use cases and explore similar capabilities in Oracle Fusion

Required Skills:

• 9+ years in Python and its libraries (e.g., Pandas, Boto3) for data manipulation, ETL processes, and developing serverless functions to interact with foundational AI services on platforms like AWS Bedrock.
• Deep hands-on experience with AWS solutioning, including designing and deploying production applications using core services such as AWS EC2, AWS Lambda, Amazon S3, Amazon RDS, and API Gateway. Familiarity with Infrastructure as Code (IaC) tools like CloudFormation or Terraform is essential.
• Proficiency in NetSuite development experience (SuiteScript, SuiteFlow, SuiteTalk).
• Experience with SuiteCloud tools, REST/SOAP APIs, and third-party integrations.
• Experience with the SuiteScript Generative AI APIs to integrate LLM capabilities for advanced scripting solutions
• Strong understanding of Finance Business processes (Order Management, Billing, Vendor bill, etc.).
• Proficiency in JavaScript, SQL, and related web technologies
• Configure NetSuite modules to align with business needs, including leveraging Prompt Studio to customize and manage NetSuite AI functions like Text Enhance.
• Ability to drive and architect solutions with other developers, focusing on maximizing the value of embedded NetSuite AI capabilities
• Working Experience on the MCP and familiar with SaaS MCP connectors, like NetSuite MCP or similar
• Working experience with foundational AI services, with a desire to use a unified platform like AWS Bedrock for Generative AI development and deployment
• Nice to have some core Amazon Machine Learning (ML) services, specifically AWS SageMaker (for building, training, and deploying custom ML models), AWS Comprehend (for natural language processing and text analytics), and  Retrieval Augmented Generation (RAG)

Education and Certifications

• A Bachelor’s degree in Computer Science, Information Systems, or equivalent years of industry experience
• AWS cloud Certification or any ERP foundation certificate is a plus

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Here's a summary of the role:

If you're a compliance professional who believes that the best controls are the ones that run themselves — this one's for you.

As a Compliance Engineer on our Continuous Controls Assurance team, you'll sit at the intersection of compliance, engineering, and business process — your mission being to make compliance a living, automated reality rather than a periodic exercise. You'll inject compliance directly into how the business operates, building the evidence, signals, and automation that lets us prove we do what we say we do.

This role is particularly suited to candidates who have worked across compliance frameworks and technical environments — whether in SaaS companies, cloud-native organisations, or forward-thinking internal audit and GRC functions — and who are comfortable translating control requirements into code, pipelines, and data.

You'll play a central role in maturing our controls assurance program, moving us from point-in-time testing toward continuous, automated monitoring that scales with the business.

Here's a breakdown of what you'll do:

• Design and build automated controls — translate control objectives across frameworks such as SOC 2, ISO 27001, and PCI DSS into automated tests, scripts, and monitoring logic embedded in business and technical processes
• Own continuous controls monitoring — develop and maintain pipelines that continuously collect, evaluate, and surface control evidence, flagging exceptions and deviations in near real-time
• Embed compliance into the SDLC and business operations — partner with Engineering, DevOps, and business teams to integrate compliance checkpoints, policy-as-code, and configuration validation into CI/CD pipelines and operational workflows
• Bridge GRC and Engineering — translate compliance requirements into technical specifications, and translate system behaviour back into auditable evidence — acting as the connective tissue between the two disciplines
• Maintain the controls evidence repository — ensure control evidence is automatically captured, timestamped, and stored in a format that supports internal review and external audit
• Support audit and assurance activities — provide automated evidence packages for external audits, reducing manual effort and improving audit quality and speed
• Identify and close assurance gaps — conduct control gap assessments, recommend improvements, and own the remediation pipeline through to closure
• Collaborate on policy and standard development — ensure that policies are written in a way that can be operationalised and tested, feeding back where policy language creates ambiguity in controls design

These are the essentials you'll need to get an interview:

• Experience in a compliance, GRC, or information security role within a SaaS or cloud-native organisation
• Hands-on experience with one or more compliance frameworks — SOC 2, ISO 27001, PCI DSS, or similar
• Demonstrated ability to automate compliance processes — using scripting (Python, Bash, or similar), APIs, or tooling such as Drata, Vanta, Tugboat Logic, or equivalent
• Familiarity with cloud environments (AWS, GCP, or Azure) and the controls that govern them
• Strong analytical skills — able to decompose a control objective into testable, measurable components
• Excellent written communication — able to produce clear control narratives, test procedures, and evidence documentation

It would be great if you had these too, but we'll support you if you don't:

• Experience with policy-as-code tools (e.g. Open Policy Agent, Conftest, Checkov, or AWS Config Rules)
• Exposure to CI/CD platforms (e.g. GitHub Actions, GitLab CI, Jenkins) and how compliance gates can be embedded within them
• Familiarity with SIEM, log management, or observability tooling in a controls assurance context
• A background that spans both technical and compliance disciplines — e.g. a developer who moved into GRC, or a compliance analyst who learned to code
• Relevant certifications such as CISA, CISSP, CCSP, AWS Security Specialty, or equivalent

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, 

• Build, manage, and mentor a high‑performing team of machine learning engineers; foster collaboration, support career growth, and invest in continuous skills development.
• Own the delivery and impact of ML initiatives, working closely with cross‑functional partners to ensure measurable business outcomes.
• Lead the design, development, and optimization of ML‑based systems, including techniques such as deep learning and reinforcement learning.
• Drive a culture of scientific and engineering rigor balanced with real‑world pragmatism, with a strong focus on experimentation, evaluation, and quantifying impact on key engagement and business metrics.
• Partner with data engineering, product management, and marketing teams to take ML solutions from conception through experimentation to reliable, timely production deployment.
• Establish India as a strategic ML hub for EarnIn by leading hiring efforts, onboarding, and close partnership with HR and TA on culture building, team health, and local engagement initiatives.

• MS or Ph.D. in Computer Science, Statistics, or a closely related technical field.
• 7+ years of industry experience, including 3+ years of people management experience.
• Strong depth across core machine learning algorithms and applied ML techniques.
• Proven experience building, deploying, and operating production ML systems at scale.
• Advanced proficiency in Python and SQL, with a strong software engineering foundation.
• Excellent written and verbal communication skills, with the ability to influence and collaborate across technical and non‑technical stakeholders.

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The Overview 

At Okta, we're building a world where anyone can safely use any technology, and, within Okta Platform R&D, we're specifically focused on protecting the future of work. We bring simple and secure access to people and organizations everywhere, promising to not only protect the identities of our customers' workforce and users, but to ask, “what more can we make possible?”

As a Principal Product Designer for Okta, you’ll work with a globally distributed design team to build the forward-looking vision for Okta’s entire suite of services. You will shape a culture that deeply appreciates our customers and how to best serve them. Your work will go deep at times, but you’ll also be constantly seeking opportunities to connect journeys, experiences and teams horizontally across the Okta Platform suite. You notice the details and deeply understand how the product works. Ensuring that using our products together creates an experience that is “greater than the sum of its parts” will be critical to Okta’s success in the coming years.

The Finer Print 

This role will be focused on the UX strategy for several products and pillars within the Okta Platform. Designers will be embedded within product pillars and working alongside engineering and product teams. You’ll bring this strategy to life through explorations, prototypes, and other design artifacts that foster clarity across groups and teams. In addition, you’ll be an effective collaborator and communicator – elevating the voice of design across functions and pillars. Finally, you’ll play a key part in elevating the design practice at Okta, both in terms of craft and team culture.

In this role, you have the opportunity to:

• Lead a holistic, human-centered approach to design, especially when designing for AI-powered features and intelligent systems.
• Guide and oversee the UX strategy alongside cross-functional partners, collaborating to take products from concept to launch and define the long-term strategy for your product area.
• Design and facilitate co-creation workshops with Product Management, Engineering, and Design to define opportunities within our products to solve valuable customer problems.
• Explore and design AI-powered solutions to simplify complex user workflows, enhance security through intelligent detection, and provide personalized user assistance.
• Leverage generative AI and other AI-powered tools to accelerate the design process, from ideation and content generation to prototyping and user flow analysis.
• Craft user-centered artifacts and end-to-end journeys to align teams contributing to Okta’s Platform R&D around the broader user experience.
• Collaborate with other Okta designers to ensure consistency across interface experiences ensuring trust and transparency in all AI-driven interactions.
• Inspire teams to think bigger and act smaller, instilling an iterative process and fail-forward mentality to design simple and delightful user interfaces for new and existing Okta products.
• Advocate, mentor, and educate on the benefits of design thinking to product teams and new designers alike; partnering with UX team members to uphold our principles and standards.
• Mentor fellow designers and contribute toward team-level and design practice and process improvements, including the ethical application of AI in design.
• Work with Design Leadership to define and drive the frameworks, contracts, and standards for others to be able to then build on top of and add value to, ensuring the quality of UX delivery.
• Find creative ways to continuously learn from customers and users; collaborating with user researchers to research and synthesize user needs to help conceive, define, test, and evolve solutions for our users across a range of mediums and experiences; Advocate for users and deliver user and customer outcomes in a dynamic work environment.
• Help product designers become data aware to illustrate a clear understanding of how their designs impact customers,  including the ones around adoption and effectiveness of AI-driven features.
• Present work, concepts, and new ideas to cross-functional team members, adjacent teams, and senior leadership; working to distill complex technical problems into clear, conceptual models and simple, elegant solutions.
• Keep abreast of competitor products and industry trends; with a keen eye on advancements in AI trends and their application to identity and security domain.

Who We Are Looking For

• You have experience leading cross-discipline teams and exemplify leadership.
• You are passionate about solving complex problems, crafting and sharing product and design UX principles to help teams deliver cohesive user experiences.
• You are a thought leader, undertaking explorations into new technologies and territories, including AI, machine learning, and their applications in identity and security.
• You bring an AI first mindset, demonstrated by practical experience using various AI tools in your daily design workflow to enhance creativity and efficiency. You constantly seek opportunities to apply intelligent automation and data-driven insights while championing design for trust, explainability, and ethical considerations.
• You are great at collaborating, sharing work early and often, and seeking constructive feedback from peers and stakeholders.
• You have the heart of a teacher and can help mentor and train people. You build and share empathy with people to deeply understand them and their needs.
• You see design as a partner in shaping strategic and operational product and UX outcomes; comfortable owning all stages of design for multiple teams within a given product area.
• You bring a systems-thinking lens to the conversation.
• You are passionate about supporting teams with a wide variety of experience, backgrounds, and interests.
• Your portfolio will show that you've worked on complex and/or technical projects across all aspects of the design process (conceptual design, interaction design, information architecture, and visual design).
• You are adept at working in a diverse, globally distributed team and have experience with remote collaboration tools.

Qualifications:

• 12+ years of product design experience on complex B2B enterprise products, with demonstrated ownership of the end-to-end design process—from discovery to delivery—across multiple product areas.
• Demonstrated proficiency in leveraging AI-powered design tools and plugins within your workflow (e.g., for generating design assets, data, or exploring layout variations).
• Possesses at least a basic understanding of HTML/CSS/JavaScript.
• Proven experience integrating AI tools into your day-to-day design activities to solve practical design challenges.
• Can provide a digital portfolio that showcases solid skills across a variety of projects, including work that has been seen and used successfully in actual products. (Portfolio link required when applying.)

P24628_3377318

• #LI_Hybrid

Okta seeks a skilled NetSuite Developer to optimize, customize, and maintain our NetSuite ERP system. As part of our Business Technology team, you will be responsible for developing scripts, workflows, integrations, and system enhancements to improve business processes and scalability. This role will report to the Manager in Bangalore, India. We would love to hear from you!

Job Duties and Responsibilities

• Design and implement custom Generative AI solutions using the SuiteScript Generative AI API for practical NetSuite use cases
• Develop and maintain robust off-platform integration scripts, utilizing Python & LangChain and to manage data transfer and interaction between NetSuite (via SuiteTalk or RESTlets) and external AI/ML platforms, particularly for data preprocessing before RAG operations.1..
• Closely work with the BT team to design, develop, test, implement & support system solutions primarily in Finance Technology.
• Provide technical consultant, best practices, and problem resolution.
• Support & resolve production issues
• Develop and maintain integrations with third-party applications via REST/SOAP APIs

Required Skills:

• 9+ years in Python and its libraries (e.g., Pandas, Boto3) for data manipulation, ETL processes, and developing serverless functions to interact with foundational AI services on platforms like AWS Bedrock.
• Proficiency in NetSuite development experience (SuiteScript, SuiteFlow, SuiteTalk).
• Experience with SuiteCloud tools, REST/SOAP APIs, and third-party integrations.
• Experience with the SuiteScript Generative AI APIs to integrate LLM capabilities for advanced scripting solutions.
• Strong understanding of NetSuite ERP modules (Order Management, Billing, Vendor bill, etc.).
• Proficiency in JavaScript, SQL, and related web technologies
• Configure NetSuite modules to align with business needs, including leveraging Prompt Studio to customize and manage NetSuite AI functions like Text Enhance.
• Ability to drive and architect solutions with other developers, focusing on maximizing the value of embedded NetSuite AI capabilities.
• Deep practical experience in Prompt Engineering and iterative refinement of prompts within NetSuite Prompt Studio to maximize the relevance and accuracy of NetSuite AI outputs like Text Enhance.1
• Familiarity with containerization and orchestration tools (e.g., Docker) for deploying Python-based external services that augment NetSuite's capabilities
• Experience with ERP like Oracle Fusion Cloud Applications or SAP H4/HANA is a plus.
• Nice to have some experience with foundational AI services, including the desire to utilize a unified platform like AWS Bedrock for Generative AI development and deployment

Education and Certifications

• A Bachelor’s degree in Computer Science or Information Systems or equivalent years of industry experience
• NetSuite Administration or ERP consultant certification is an advantage

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About Okta

At Okta, our mission is to enable any organization to use any technology, making the world a more secure and connected place. We are the leading independent provider of identity for the enterprise. We work with an incredible array of customers, from the largest enterprises to the most innovative startups, to help them securely connect their people to technology. As we enter a new phase of growth, our AI and data capabilities will be a critical pillar of our success, powering secure and scalable products that serve both our customers and employees.

The Opportunity

Okta is seeking a Principal Data Engineer to be the technical visionary for our internal data platform that supports our internal AI use cases with AI ready data. Reporting to the Sr Manager of Enterprise Data Platform, this role is responsible for turning the data product vision into a secure, scalable, and elegant technical reality. You will own the "how"—the technical strategy, implementation, and scalability that brings our AI and data product roadmap to life.

This role requires a technical leader who can balance today’s execution with building a durable foundation for the future. You will own the technical standards for engineering excellence, security, and governance, ensuring our core data platform is trusted and ready to power the next generation of AI-powered products and decision-making at Okta.

What You’ll Do

• Own the technical strategy and implementation for the company's AI data platform, translating product requirements into a concrete technical vision centered on Snowflake, AWS, dbt.
• Design and implement a robust security and governance framework as a core pillar of the platform, ensuring our high-compliance, high-security standards are met.
• Build automated solutions for data classification, access control, and vulnerability management (Nessus/Qualys), ensuring data is secure and trusted for AI consumption.
• Implement and manage the strategy for infrastructure as code (Terraform) and CI/CD (GitHub/GitLab) to ensure secure, reproducible, and auditable deployments.
• Set the bar for engineering excellence, driving best practices in code quality, system design, and operational readiness.
• Serve as an engineering partner to the Principal Product Manager, providing technical feasibility, scoping, and architectural guidance.
• Communicate technical vision, strategy, and trade-offs clearly to senior leadership and cross-functional teams.
• Collaborate with the AI, security, and analytics teams to ensure the data platform meets the complex needs of the entire business.

What You Bring

• Experience: 10+ years of data engineering experience, with at least 5 years focused on architecting data platforms for data products, analytics, and/or AI-driven products. Experience with high-compliance/high-security regulated environments is a plus.
• Technical Authority: Deep and recognized mastery of data platforms and architecture, including cloud applications like Snowflake, Databricks, and AWS. Expert-level understanding of data pipeline and orchestration tools like dbt, Airflow, Fivetran, and Terraform.
• Security & Governance DNA: Deep expertise in designing and implementing technical frameworks for data governance, access control, and security within a modern data stack.
• Cross-Functional Partnership: A proven track record of partnering successfully with product management and business leaders to translate vision into high-impact technical solutions.
• Balance of Today vs. Tomorrow: Ability to deliver immediate, high-quality engineering solutions while building a scalable and maintainable foundation for future innovation.

What Success Looks Like

• A secure, scalable, and elegantly designed AI data platform that serves as the trusted data foundation for the company.
• Robust, automated data governance and security frameworks embedded into the platform's core architecture.
• A well-architected and cost-optimized tech stack that accelerates development and reduces operational friction.
• Elevated technical capabilities and engineering excellence across the team, driven by your mentorship and leadership.

#LI_Hybrid 

P24713_3369501

The Overview 

At Okta, we're building a world where anyone can safely use any technology, and we're specifically focused on protecting the future of work. We bring simple and secure access to people and organizations everywhere, promising to not only protect the identities of our customers' workforce and users but to ask, “what more can we make possible?” 

Our User Research team is a critical partner in this mission, responsible for driving research that uncovers deep insights and shapes our product and company strategy. As a Staff User Researcher, you will work with a globally distributed team to apply your craft and expertise across a range of products and services. You will tackle complex research questions, delivering insights that ensure we are solving the right problems for our customers.

The Finer Print 

As a Staff UX Researcher in India, you will lead and establish user research efforts locally, embedding UXR practices within our growing India-based cross-functional teams and taking ownership of high-impact research initiatives for a key Okta product area. This is a unique opportunity to promote and cultivate a user-centered culture, guiding local product, design, and engineering partners who are new to direct collaboration with UX research. You will work closely with these local teams daily, while also collaborating effectively with your global UXR colleagues and stakeholders. Your research will directly inform critical decisions, contributing to both the product's long-term vision and near-term development. You will be instrumental in establishing research operations in India, ensuring that foundational and evaluative insights are effectively leveraged to drive exceptional user experiences.

In this role, you have the opportunity to:

• Champion user-centered best practices and build strong, trusted relationships with product, design, and engineering leaders within our growing Bangalore office
• Drive collaborative research initiatives with cross-functional teams and guide them in leveraging insights to inform decisions and foster a culture of curiosity
• Communicate complex insights clearly and persuasively to diverse audiences across all levels and time zones, ensuring seamless alignment within our global team
• Utilize LLMs (e.g., ChatGPT, Claude) to accelerate end-to-end research workflows, from literature reviews and transcript analysis to report drafting.
• Synthesize insights at scale by leveraging AI-augmented repositories and tools across multiple concurrent projects, without sacrificing research rigor.
• Establish and refine UX research processes, operational frameworks, and supporting tools tailored to the needs of the Bangalore office, aligning with our global UX Research standards
• Build and manage key research operations, including leading APAC participant recruitment efforts and collaborating with our global UX Research Operations team to optimize our Dovetail research repository for local stakeholders

• Lead end-to-end research initiatives, expertly applying a flexible range of methodologies (generative and evaluative) to illuminate customer needs and deliver high-impact insights that drive product growth
• Share your expertise and insights with the global UX Research team, and play a pivotal role in building UX Research capacity within the Bangalore office as the team grows
• Access global learning resources and collaborate with experienced researchers worldwide to continuously enhance your skills

Who We Are Looking For

• Demonstrated ability to effectively introduce and integrate UX Research into teams with limited prior exposure, clearly articulating its value and driving buy-in
• Experience thriving in a remote, globally distributed team environment, with a proven ability to manage asynchronous communication, maintain alignment across different time zones, and build strong rapport and influence with remote stakeholders across cultures
• You possess a proven ability to critically evaluate AI-generated outputs for bias, hallucinations, and gaps; you know when to trust, refine, or override AI and can articulate that judgment.
• A proactive and highly self-driven approach, with a proven ability to independently identify research opportunities, define scope, and successfully project manage complex initiatives end-to-end, consistently delivering high-quality insights on time and within scope
• Resourcefulness in navigating ambiguity and establishing new processes and tooling where needed
• Proven experience as an embedded UX Researcher with deep expertise in applying a wide range of methodologies (e.g., usability studies, contextual inquiry, surveys) to identify and elevate user needs, driving valuable product outcomes
• Able to translate business problems into human-centered research questions, applying your technical understanding to inform company goals
• Exceptional proficiency in communicating complex research findings and insights, adeptly tailoring presentations and guiding collaborative sessions with diverse cross-functional partners and senior leadership to drive alignment and informed decisions
• Experience with products made for developers, administrators, or other technical audiences
• Strong decision-making and problem-solving capabilities while working with constraints
• Empathy for users and a passion for understanding technical experiences
• Experience working on security products is a plus
• A proactive and curious mindset with a dedication to continuous professional development, and a proven ability to contribute positively to the team's research culture and skill set

Qualifications:

• 8+ years of experience in a User Research or related role, with a strong digital portfolio demonstrating end-to-end research on shipped B2B or enterprise SaaS products. (A portfolio is required for consideration).
• Practical experience using LLMs to accelerate research workflows, with specific examples of measurable impact on project timelines or scale.
• Expertise in a wide range of qualitative and quantitative research methods.
• A Master’s degree in Human-Computer Interaction (HCI), Psychology, Sociology, or a related field is preferred.

P10891_3414578

• #LI_Hybrid

Okta seeks a skilled Staff Full Stack Engineer with expertise in NetSuite and/or  Oracle Fusion Cloud Applications. As part of our Business Technology team, you will be responsible for developing and optimizing full-stack solutions, including custom scripts, workflows, integrations, and system enhancements for both NetSuite and Oracle Fusion to improve business processes and scalability. This role will report to the Manager in Bangalore, India. We’d love to hear from you!

Job Duties and Responsibilities

• Design, develop, and maintain full-stack solutions for Finance Tech stack like NetSuite, Coupa and Oracle Fusion Cloud Applications etc., using any of the full-stack applications like Node Js/React
• Develop and maintain robust off-platform integration scripts using Python & LangChain to manage data transfer and interactions between NetSuite (via SuiteTalk or RESTlets) and AI Platforms
• Architect and implement scalable, secure, and cost-efficient cloud-native solutions on AWS for RAG, MCP, and Agentic AI (LangGraph) 
• Closely work with the BT Product Manager to design, develop, test, implement & support system solutions primarily in Finance Technology
• Provide technical consultation, best practices, and problem resolution for AI and Agentic AI for the Finance tech stack NetSuite, Oracle Fusion, and associated integrated systems
• Support & resolve production issues across the full application stack
• Develop and maintain integrations with third-party applications via REST/SOAP APIs
• Design and implement custom Generative AI solutions using the SuiteScript Generative AI API for practical NetSuite use cases and explore similar capabilities in Oracle Fusion

Required Skills:

• 9+ years in Python and its libraries (e.g., Pandas, Boto3) for data manipulation, ETL processes, and developing serverless functions to interact with foundational AI services on platforms like AWS Bedrock.
• Deep hands-on experience with AWS solutioning, including designing and deploying production applications using core services such as AWS EC2, AWS Lambda, Amazon S3, Amazon RDS, and API Gateway. Familiarity with Infrastructure as Code (IaC) tools like CloudFormation or Terraform is essential.
• Proficiency in NetSuite development experience (SuiteScript, SuiteFlow, SuiteTalk).
• Experience with SuiteCloud tools, REST/SOAP APIs, and third-party integrations.
• Experience with the SuiteScript Generative AI APIs to integrate LLM capabilities for advanced scripting solutions
• Strong understanding of Finance Business processes (Order Management, Billing, Vendor bill, etc.).
• Proficiency in JavaScript, SQL, and related web technologies
• Configure NetSuite modules to align with business needs, including leveraging Prompt Studio to customize and manage NetSuite AI functions like Text Enhance.
• Ability to drive and architect solutions with other developers, focusing on maximizing the value of embedded NetSuite AI capabilities
• Working Experience on the MCP and familiar with SaaS MCP connectors, like NetSuite MCP or similar
• Working experience with foundational AI services, with a desire to use a unified platform like AWS Bedrock for Generative AI development and deployment
• Nice to have some core Amazon Machine Learning (ML) services, specifically AWS SageMaker (for building, training, and deploying custom ML models), AWS Comprehend (for natural language processing and text analytics), and  Retrieval Augmented Generation (RAG)

Education and Certifications

• A Bachelor’s degree in Computer Science, Information Systems, or equivalent years of industry experience
• AWS cloud Certification or any ERP foundation certificate is a plus

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Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The role  

As a Cloud Engineer, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 6+ YEARS of experience, a growth mindset and a drive to make a lasting impact. 

You will thrive in this role if you are: 

• A curious problem solver who challenges the status quo 
• A collaborator who values teamwork and knowledge-sharing 
• Excited by the intersection of technology, creativity and data 
• Experienced in Agile methodologies and consulting (a plus) 

Role responsibilities

• Design GCP-native architectures using services such as BigQuery, Dataflow (Apache Beam), Cloud Composer (Airflow), Pub/Sub, Cloud Storage, Vertex AI, and Cloud Run
• Build and maintain data pipelines — batch and streaming — following medallion architecture patterns (Bronze / Silver / Gold)
• Implement infrastructure as code using Terraform and manage deployments via Cloud Build or equivalent CI/CD tooling
• Define and apply GCP landing zone standards including IAM, VPC, Shared VPC, Private Service Connect, and Org policies
• Develop end-to-end Lakehouse solutions on Databricks — including Delta Lake table design, Unity Catalog governance, and MLflow model tracking
• Write and optimise PySpark and SQL workloads for large-scale transformations and feature engineering
• Configure Databricks clusters, job scheduling, auto-scaling, and cost controls in a GCP (DBX on GCP) environment
• Implement Databricks Workflows and Asset Bundles for orchestration and deployment automation
• Advise clients on Databricks platform adoption, including migration pathways from legacy Hadoop or on-premise data warehouses
• Lead technical workshops and requirements-gathering sessions with client technical and business teams
• Produce high-quality client-facing deliverables: architecture diagrams, technical specifications, migration runbooks, and data dictionaries
• Present solution designs and progress updates to client stakeholders — adapting technical communication to audience level (CTO to Business Analyst)
• Manage technical dependencies, risks, and issues across delivery workstreams — escalating to Delivery Managers as appropriate
• Participate in sprint ceremonies and maintain delivery velocity within Agile/Scrum or Kanban frameworks
• Implement data quality frameworks using tools such as Great Expectations, dbt tests, or Databricks Delta constraints
• Support data catalogue initiatives and metadata management using Dataplex or Unity Catalog
• Ensure GDPR/data residency compliance is embedded into solution design from the outset
• Support practice leads in responding to RFPs and RFIs — contributing to effort estimation, solution sizing, and proposal narrative
• Contribute to internal knowledge-sharing — through documentation, runbooks, and team enablement sessions
• Stay current with GCP and Databricks product roadmaps and proactively identify opportunities to introduce new capabilities to clients

Must have qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience
• 6+ years of hands-on professional experience in cloud data engineering or GCP platform roles.
• Google Cloud Professional Data Engineer or Professional Cloud Architect certification
• Databricks Certified Associate Developer for Apache Spark or Databricks Certified Data Engineer certification
• BigQuery — advanced SQL, partitioning, clustering, cost optimization
• Cloud Storage, Cloud Functions, Cloud Run
• Dataflow (Apache Beam) — batch & streaming pipelines
• Cloud Composer / Airflow — DAG authoring and management
• Pub/Sub — event-driven architectures
• Vertex AI — model serving and Pipelines exposure
• IAM, VPC, Org Policies — security and governance
• Cloud Build / Artifact Registry — CI/CD and containerization
• Terraform — infrastructure as code on GCP
• Looker / Looker Studio — reporting layer familiarity
• PySpark — DataFrame API, optimization, broadcast joins
• Delta Lake — ACID transactions, time travel, Z-ordering
• Unity Catalog — governance, lineage, access control
• Databricks Workflows / Job orchestration
• Databricks on GCP — cluster config, instance pools
• MLflow — experiment tracking, model registry
• dbt on Databricks or BigQuery
• Databricks Asset Bundles / CI/CD integration
• Python — data engineering and scripting proficiency
• SQL — advanced analytical queries
• Git / version control — branching, PR workflows
• Docker — containerization basics
• Unit testing and data pipeline testing practices
• REST API integration patterns

Nice to have qualifications  

• Experience with Azure or AWS alongside GCP — hybrid cloud delivery experience
• Familiarity with commercetools, Contentful, or other composable commerce/content platforms
• Exposure to Salesforce Marketing Cloud data connectors or CDPs
• Knowledge of Generative AI / LLM integration patterns — Vertex AI GenAI Studio, Gemini APIs
• Experience with Databricks Agent Framework or LangChain for agentic AI workloads
• Apache Kafka or Confluent Cloud for event streaming architectures
• Google Cloud Professional Machine Learning Engineer
• HashiCorp Terraform Associate.
• Experience in luxury, retail, or FMCG verticals — understanding of product data models and PIM systems

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

The benefits  

This is a Full Time position based in Bengaluru

Beyond a competitive compensation package, we offer: 

• Flexibility, with remote and hybrid work options (country-dependent) 
• Career advancement, with international mobility and professional development programs 
• Learning and development, with access to cutting-edge tools, training and industry experts 

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. 

Your application process

Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud!

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

• Staffed on the end-to-end process of deals collaborating with global investment teams where you will be an active day-to-day member of the team.
• Assist in Deal Origination tasks including market mapping, competitor analyses, and company profiling.
• Engage in Deal Assessment by conducting industry deep-dives, peer benchmarking, and sizing Total Addressable Market (TAM) / Serviceable Available Market (SAM).
• Perform financial analysis and develop valuation models.
• Prepare presentations and reports for investment teams (i.e. investment committee and portfolio performance materials) and relevant external stakeholders e.g. advising banks.
• Actively participate in the transaction process, contributing to project management and investment strategy.
• Support Portfolio Monitoring through KPI tracking, portfolio benchmarking, and aiding further M&A activities.
• Participate in the Analyst Program training and provide onward training and mentoring to later intakes.

• MBA / Master’s degree in Economics, Finance, Accounting, or a related field.
• Minimum 1 year of relevant deal experience in Investment Banking or related financial services.
• Strong analytical skills and a keen interest in finance and valuation principles.
• Proficiency in Microsoft Office, particularly Excel and PowerPoint.
• Excellent communication and interpersonal skills, with the ability to work collaboratively across global teams.

• Proactive, enthusiastic, and team-oriented approach.
• Strong client service orientation and commitment to meeting tight deadlines.
• Ability to handle multiple workstreams simultaneously in a fast-paced environment
• Detail-oriented with an analytical mindset.
• A passion for diversity, equity, and inclusion.

• Exposure and a broad range of responsibilities offering a robust start to your career in Private Equity.
• Opportunities for interaction with international deal team professionals and potential for travel for assignments.
• A supportive environment that fosters career growth and development, with potential for conversion to higher roles based on performance.

• Q2/Q3 2026

ABOUT THE ROLE:

The Tide Security Engineering team is made up of three core areas: Product Security, Identity, Threat Detection & Response

Product Security consists of application and cloud security experts. Their mission is to protect the products we build, covering everything from secure design reviews to threat modelling and penetration testing, ensuring security is embedded from the ground up.

Threat Detection & Response (this role!) focuses on protecting the company by building a robust detection and automation platform. We’re proactive in our defence, constantly hacking ourselves to improve our security posture and staying ahead of emerging threats. Our goal is to make Tide resilient against the ever-evolving threat landscape.

Identity is responsible for managing Tide's staff identity platform, ensuring that access to systems and infrastructure is secure, seamless, and aligned with modern security practices. The team uses strategies like zero trust, multi-factor authentication, and granular role-based access controls to safeguard our internal operations.

While each area has its own focus, collaboration is key - it's why we share the same Slack channel and hold our standups together as one cohesive team, ensuring alignment and seamless communication across all security functions.

• Supporting the development and implementation of a strategic vision for threat detection, driving the overall direction and priorities for a team of highly talented engineers.
• Getting hands-on with SIEM systems, including creating custom log-parsers for in-house applications, configuring alert rules, performing log analysis and tuning detections to reduce false positives.
• Creating security automations and services to automate mundane tasks; from data enrichment to automatically removing phishing emails from employee mailboxes. We want you to run with the “anything is possible” mantra.
• Continuously hunting for sophisticated threats across our infrastructure, leveraging threat intelligence and innovative detection techniques to stay ahead of attackers. You'll monitor and respond to threats across AWS, GCP, internal applications, and employee endpoints (Windows, macOS).
• Collaborating with cross-functional teams to develop and implement; business-specific threat detection rules. 
• Responsible for ensuring the quality of detections, and uptime of our detection ecosystem through mature test driven development paired with proactive health monitoring capabilities.
• Identifying opportunities to build or enhance internal tools that streamline threat detection processes, improve data visibility, and increase response efficiency.
• Leading complex incident investigations, coordinating efforts across the security, IT, and engineering teams to ensure rapid and effective containment, remediation, and recovery.
• Support as part of the wider security incident response on-call rota.

WHAT WE ARE LOOKING FOR:

• Strong knowledge with one of the following: Splunk, Scanner, Sentinel, SecOps.
• Strong understanding of modern attack and defence techniques which apply to Cloud (AWS, GCP), SaaS (such as Google Workspace and Okta) and desktop (Windows and macOS) environments.
• Passion for passing on knowledge to fellow colleagues.
• Hands-on attitude and the ability to drive solutions to completion.
• Strong experience in security automation, from writing scripts to creating end-to-end automated workflows. Familiarity with SOAR platforms and automating threat detection and response tasks.
• Excellent spoken and written communication skills.
• Experience with writing automation and scripts; bonus points if you have a repository to show-case your work.

WHAT YOU’LL GET IN RETURN:

• Competitive Compensation -  competitive salary and share options
• Time Off – Generous annual leave on top of bank holidays.
• Parental Leave – Paid maternity, paternity, and adoption leave to support your family journey.
• Sabbatical – Extended unpaid and paid leave options after completing milestone years with Tide.
• Health Insurance – Private family insurance with additional OPD coverage and top-up options.
• Life & Accident Cover – Comprehensive accidental and life insurance protection.
• Mental Wellbeing – Access to therapy sessions, courses, meditations, and workshops.
• Volunteering & Development Days – Paid days annually for volunteering or personal growth.
• Learning & Development – Annual budget for books, courses, coaching, and more.
• WOO (Work Outside the Office) – Work from abroad for up to 90 days annually.
• Home Office Setup – Contribution towards setting up your home office
• Laptop Ownership – Keep your old laptop and get a new one when it’s time for a replacement.
• Snacks & Meals – Office perks with snacks, coffee, tea, and lunch (location dependent).

TIDEAN WAYS OF WORKING:

At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. 

While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community. 

Instawork’s on-demand labor marketplace is uniquely valuable for robotics and physical AI. We’re working with leading frontier labs to create the highest-quality, highest-diversity datasets for training robotics foundation models. Instawork Robotics is the human advantage in the robotics revolution. 

We are seeking a highly skilled, part-time Field Engineering Technician to manage the maintenance, calibration, and local deployment of a fleet of 600 custom wearable camera rigs. Unlike standard IT support, this role sits at the intersection of precision electronics, mechanical assembly, and field operations. You will be the primary guardian of our hardware integrity, ensuring that high-stakes egocentric data collection continues without interruption across various deployment sites.

About IRL

Researchers at UC Berkeley have identified a “100,000-year data gap” - the gulf between what trained AI language models and what physical robots actually have to learn from. Closing that gap is the defining infrastructure challenge of the physical AI era. IRL is Instawork’s answer to it. We deploy skilled workers into real commercial and residential environments - kitchens, warehouses, hotel floors, homes - to capture the high-fidelity task data that the world’s leading Robotics labs use to train their foundation models. Read more here.

Who You Are:

A problem-solver who enjoys troubleshooting, working with physical devices, and finding creative solutions to problems quickly. 

• Education: ITI or Diploma in Electronics, Mechatronics, or Electrical Engineering.
• Experience: proven background in repairing "small-form-factor" electronics (e.g., smartphones, drones, or action cameras)
• Technical Skills: high dexterity with precision hand tools, multimeters, and soldering stations
• Safety: deep understanding of ESD (Electrostatic Discharge) safety protocols
• Software: comfortable navigating Linux/Windows-based diagnostic shells and firmware update tools.
• Mobility must possess a valid two-wheeler license and a personal vehicle for local travel.
• A hard worker who is comfortable working in new and different field environments, and adapting to new hardware and systems. 
• An operator who is experienced with the basics of hardware maintenance and support.
•  

Nice-to-haves:

Experience supporting robotics, sensors, wearables, cameras, or prototype hardware systems. Experience with firmware flashing, Linux, Android, embedded devices, or basic networking. Experience at an early-stage or mid-stage startup. Basic electrical, mechanical, or hardware assembly experience. Comfort building with AI tools like Cursor and Claude Code

What You’ll Do:

• Field Hardware Support. Maintain and troubleshoot deployed data collection systems, including cameras, sensors, batteries, storage media, cables, mounts, and wearable equipment.
• Device Configuration. Perform hardware setup, provisioning, firmware flashing, software updates, calibration, and readiness checks prior to deployment.
• Issue Resolution. Diagnose and resolve day-to-day technical issues in the field, document recurring failures, and escalate more complex problems to engineering teams.
• Repair & Refurbishment. Replace damaged or worn components, manage spare parts inventory, and prepare returned systems for rapid redeployment.
• Operator Enablement. Support field operators with fit adjustments, setup guidance, charging workflows, and best practices to ensure reliable data capture.
• Cross-Functional Collaboration. Coordinate with robotics leadership, data ops, QA, and engineering teams to continuously improve hardware reliability, usability, and field performance.

This is an onsite role based at Nextiva’s Bengaluru office (Wilshire III by MFAR, 492, Hobli, RHB Colony, Mahadevapura, Bengaluru, Karnataka 560048). Working together onsite strengthens how we operate, enabling faster decisions, clearer communication, and stronger execution, so you can make a greater impact and move work forward with speed and clarity. 

In-Office Expectation: This role is expected to work onsite five days per week, supporting a highly collaborative, in-person team environment. 

We're looking for a strategic, hands-on Principal Product Manager to lead the vision and execution for our next-generation Voice capabilities within our CX platform. You'll build and evolve cutting-edge, AI-powered voice experiences—transforming traditional voice interactions into intelligent, automated conversations that enhance agent productivity, customer satisfaction, and operational efficiency through advanced NLP, real-time transcription, and voice AI. You'll shape the vision, align cross-functional teams, and deliver a roadmap that drives measurable business impact.

Key Responsibilities:

1. Strategic Ownership

• Define the long-term product strategy and positioning for Voice capabilities (UCaaS and CCaaS), aligned with AI-first differentiation and competitive market value
• Deeply understand user needs across contact center operations, IT leaders, developers, and end-users; incorporate voice-of-customer and competitive insights in every decision
• Partner with Finance and Sales to inform packaging, pricing, and monetization decisions for voice features (stand-alone vs. bundled) using data-driven insights

2. Execution & Delivery

• Translate strategy into a data-informed roadmap; prioritize features such as:
  • AI-Powered Transcription: Real-time speech-to-text with speaker diarization, punctuation, vertical specific grammars and multi-language support
  • Natural Language Processing (NLP): Intent detection, sentiment analysis, entity extraction, and conversation voice understanding
  • Voice AI & Automation: Conversational IVR/IVA, AI agents for self-service, voice bots with LLM integration
  • Real-Time Voice Analytics: Call monitoring, keyword tracking, compliance detection, and live agent assistance
  • Voice Infrastructure: SIP trunking, call routing, voice quality optimization, codec support, and telecom carrier integrations
  • UCaaS/CCaaS Features: Click-to-call, voicemail-to-text, call recording, conference bridging, call transfer, and omnichannel voice integration
• Collaborate closely with Engineering, Design, Data Science, and GTM teams to deliver high-impact releases; establish clear metrics that link customer outcomes to business goals
• Drive continuous iteration post-launch through telemetry, experimentation, A/B testing, and customer feedback

3. Cross-Functional Impact

• Act as a connector across Product, Design, Data Science, Engineering, and GTM to ensure cohesive delivery and alignment on vision
• Champion a culture of experimentation, learning, and accountability across teams
• Influence senior stakeholders through crisp storytelling and data-backed recommendations; translate technical voice capabilities into compelling business value

4. Technical & Domain Expertise

• Demonstrate deep understanding of:
  • Voice Technologies: VoIP protocols (SIP, RTP, WebRTC), telephony systems, PBX/softswitch architectures, audio codecs
  • AI/ML for Voice: NLP, ASR (Automatic Speech Recognition), TTS (Text-to-Speech), LLMs, RAG (Retrieval Augmented Generation)
  • Transcription & Speech Analytics: Real-time transcription engines, speaker identification, acoustic modeling, language models
  • Contact Center Voice: ACD (Automatic Call Distribution), IVR/IVA systems, call routing strategies, CTI (Computer Telephony Integration)
  • UCaaS Platforms: Unified communications features, presence, soft phones, mobile/desktop clients, and hardware devices.
• Stay current on competitive landscape (NICE, RingCentral, Dialpad, Five9, Genesys, Twilio) and emerging voice AI technologies
• Work with ISVs, technology partners, and telecom carriers to expand voice capabilities and ecosystem integrations

Qualifications:

Required Experience & Skills

• 8+ years in SaaS Product Management, including 4+ years leading enterprise-grade contact center, UCaaS, or voice communication products
• Proven success transforming embedded voice capabilities into revenue-generating, standalone experiences that drive customer adoption and satisfaction
• Deep technical expertise in:
  • Voice communication protocols; telephony device and systems
  • NLP, speech recognition, and conversational Voice technologies
  • Contact center voice infrastructure (IVR, ACD, call routing)
  • Real-time transcription and voice analytics
• Track record of developing and executing successful product launches in competitive voice/CCaaS markets with a CX-first approach
• Strong analytical, problem-solving, and decision-making skills with data-driven approach to prioritization
• Experience managing beta programs, user feedback loops, and conducting A/B testing for voice features
• Excellent collaboration skills with ability to motivate product development teams, work effectively across functions, and lead through influence in global environments

Preferred Qualifications

• Bachelor's degree in Computer Science, Engineering, or related technical field; MBA or similar advanced degree is a plus
• Experience with AI concepts including NLU (Natural Language Understanding), ML model training, LLM integration, and RAG architectures
• Familiarity with voice analytics, compliance requirements (PCI-DSS, HIPAA for voice), and quality standards
• Understanding of Centrex features, hosted PBX, SIP trunking, and carrier integrations
• Prior experience as a software engineer, technical lead, or solutions architect before transitioning to product management
• Knowledge of developer platforms and APIs for voice (Twilio, Vonage, RingCentral APIs)

Personal Attributes

• Proven affinity for inserting user experience first in the product design approach, especially for voice interactions
• Ability to demonstrate deep understanding of the Conversational AI (Voice/Chatbot) landscape, LLM technology, ecosystem, and evolution
• Embrace a hands-on approach, capable of navigating from high-level strategic vision to detailed execution
• Become the reference for competitive intelligence on voice offerings in the market
• Champion for voice product throughout each product's lifecycle, from strategic definition to technical design to market launch

What Success Looks Like in 12 Months

• Vision & Roadmap: A clear two-year vision and KPI-driven roadmap influencing cross-product alignment
• Customer Impact: Delivery of new AI-assisted QM/WFM capabilities adopted by at least three flagship customers with >70% engagement
• Commercial Influence: Measurable attach rates and incremental ARR growth in key regions (North America, EU, APAC)
• Operational Excellence: Instrumentation provides real-time insights into adoption, feature performance, and churn drivers
• Cross-Functional Collaboration: Strong partnerships across Product, Engineering, and GTM driving faster iteration and impact

Why Join Us

• Lead the transformation of voice communications through cutting-edge AI technology
• Work with a talented, cross-functional team passionate about building world-class CX solutions
• Shape the future of how millions of agents and customers interact through voice
• High visibility role with direct impact on company strategy and revenue
• Competitive compensation, equity, and benefits package

Nextiva DNA (Core Competencies)

Nextiva’s most successful team members share common traits and behaviors:

• Drives Results: Action-oriented with a passion for solving problems. They bring clarity and simplicity to ambiguous situations, challenge the status quo, and ask what can be done differently. They lead and drive change, celebrating success to build more success.
• Critical Thinker: Understands the "why" and identifies key drivers, learning from the past. They are fact-based and data-driven, forward-thinking, and see problems a few steps ahead. They provide options, recommendations, and actions, understanding risks and dependencies.
• Right Attitude: They are team-oriented, collaborative, competitive, and hate losing. They are resilient, able to bounce back from setbacks, zoom in and out, and get in the trenches to help solve important problems. They cultivate a culture of service, learning, support, and respect, caring for customers and teams.

Total Rewards

Our Total Rewards offerings are designed to allow our employees to take care of themselves and their families so they can be their best, in and out of the office.

Our compensation packages are tailored to each role and candidate's qualifications. We consider a wide range of factors, including skills, experience, training, and certifications, when determining compensation. We aim to offer competitive salaries or wages that reflect the value you bring to our team. Depending on the position, compensation may include base salary and/or hourly wages, incentives, or bonuses.

• Medical 🩺 - Medical insurance coverage is available for employees, their spouse, and up to two dependent children with a limit of 500,000 INR, as well as their parents or in-laws for up to 300,000 INR. This comprehensive coverage ensures that essential healthcare needs are met for the entire family unit, providing peace of mind and security in times of medical necessity.
• Group Term & Group Personal Accident Insurance 💼 - Provides insurance coverage against the risk of death / injury during the policy period sustained due to an accident caused by violent, visible & external means.
  • Coverage Type - Employee Only
  • Sum Insured - 3 times of annual CTC with minimum cap of INR 10,00,000
  • Free Cover Limit - 1.5 Crore
• Work-Life Balance ⚖️ - 15 days of Privilege leaves per calendar year, 6 days of Paid Sick leave per calendar year, 6 days of Casual leave per calendar year. Paid 26 weeks of Maternity leaves, 1 week of Paternity leave, a day off on your Birthday, and paid holidays
• Financial Security💰 - Provident Fund & Gratuity
• Wellness 🤸‍ - Employee Assistance Program and comprehensive wellness initiatives
• Growth 🌱 - Access to ongoing learning and development opportunities and career advancement

At Nextiva, we're committed to supporting our employees' health, well-being, and professional growth. Join us and build a rewarding career! 

Beware of Recruitment Fraud: At Nextiva, we follow a merit-based hiring process and do not charge any fees or require a deposit at any stage.  We also do not authorize any third parties to collect payments or sensitive information on our behalf. 

All genuine communications from Nextiva originate from official email addresses ending in “@nextiva.com”.  Communications received from free email services (such as Gmail, Yahoo, or Hotmail) purporting to be from Nextiva should be treated as fraudulent.  If you are contacted by a third-party claiming to represent us, please verify their credentials by writing to [talent@nextiva.com]. 

We encourage candidates to stay vigilant and verify the authenticity of any communication claiming to be from Nextiva, including unsolicited calls, WhatsApp messages and Telegram communications. While we strive to maintain a secure hiring process, Nextiva is not responsible for any losses arising from fraudulent activities.

For genuine opportunities, please apply only through our official careers site: [Careers URL / Nextiva LinkedIn authentic jobs].

If you believe that you have been a victim of recruitment fraud, please contact your law enforcement agencies immediately.

#LI-AK1 #LI-Onsite

About the Team

Razorpay's agentic products are scaling fast. Agent-powered onboarding, dashboard experiences, and automation workflows are live and growing, and the engineering teams building them are moving quickly. As we scale, we need shared infrastructure that lets every product team access the best model for each task without having to build routing, observability, or resilience logic themselves.

We are building an AI Inference Platform: a centralized layer that handles intelligent model routing, cost optimization, and quality observability across all of Razorpay's agentic products. The goal is simple. Product teams declare what kind of task they need done. The platform takes care of picking the right model, managing fallbacks, and tracking cost and quality. Teams stay focused on shipping features.

About the Role

As Lead AI Engineer on the platform side, you build the inference orchestration layer that sits between our product teams and their model providers. Routing, fallbacks, cost tracking, A/B testing for model swaps, and observability are all yours. Your customers are internal engineering teams, and your job is to give them a single reliable interface to every model the org uses while keeping the complexity of that routing layer off their plates.

You also own the observability and eval-in-production infrastructure: standardized tracing and cost dashboards across all agentic products, and the shadow-testing infrastructure that lets us validate model swaps safely before they reach production traffic.

What You’ll Build

• Build and operate a unified model gateway that abstracts provider complexity for product teams. Teams work with a clean interface; the platform handles routing, provider selection, and fallback logic under the hood
• Design and implement intelligent routing that matches each request to the right model based on task complexity, latency requirements, and cost targets. Not every call needs the same model
• Build resilience into the platform so provider outages, rate limits, and latency spikes are handled transparently. Agentic workflows stay up regardless of what happens upstream
• Own the observability layer across all AI-powered products: cost per call, latency distributions, token usage, and quality signals. Give product teams and leadership a clear view of how AI is performing and what it costs
• Build the infrastructure for safe model transitions: run new models alongside production, compare outputs, and roll out changes gradually with automated quality checks at every stage
• Drive continuous cost efficiency through caching strategies, request optimization, and per-team spend attribution so the org can scale AI usage without costs growing linearly with traffic

What We’re Looking For

• 5 to 8 years as a backend or platform engineer, with a track record of building API gateways, middleware, or developer platform services at scale. Strong in Go or Python
• Experience building high-availability, low-latency distributed systems: load balancing, circuit breakers, graceful degradation, retry logic, and observability using Prometheus, Grafana, OpenTelemetry, or equivalent
• Solid understanding of LLM APIs and token economics. You can design routing rules based on input/output token pricing, streaming vs. batch tradeoffs, and how prompt length affects both cost and latency
• You think in platform terms. You know the difference between building for end users and building for engineers, and you know that internal platform quality shows up in other teams’ velocity
• Familiarity with LLM orchestration and observability tooling: LiteLLM, Portkey, Langfuse, LangChain, or similar. You do not need to have used all of them, but you need to understand the landscape well enough to make good choices
• Experience with Kubernetes and distributed systems. GPU workload scheduling or ML serving infrastructure is a meaningful bonus

Why This Role is Different

• The platform you build becomes the backbone of every AI-powered product at Razorpay. Good infrastructure decisions here compound across every team and every workflow that ships on top of it
• You work on real scale from day one. The problems are concrete, the feedback loop is tight, and the impact of what you build shows up in production metrics quickly
• This role combines deep platform engineering with the emerging discipline of LLM infrastructure. It is a rare combination that puts you at the leading edge of how AI systems are built in production
• You are embedded in the decision-making, not downstream of it. You work directly with ML engineers and product teams, and your input shapes how the org approaches model selection, cost, and quality at every level
• You get genuine ownership over the architecture. This is a space where the right patterns are still being defined, and you have the scope to make meaningful design decisions rather than inherit them

Compensation & Benefits

Competitive compensation with ESOPs, comprehensive health insurance, learning and development budget, and all the perks of working at one of India’s leading fintech companies.

Summary:

Leads advanced financial analysis and optimization strategies for cloud infrastructure, providing expert-level insight and technical guidance to drive cost efficiency, forecasting accuracy, and financial accountability across multi-cloud environments. This role partners closely with engineering, finance, and procurement teams to enable strategic cloud investment decisions.​

Duties & Responsibilities:

• ​ Lead in-depth cost modeling, forecasting, and trend analysis for AWS, Azure, GCP, and other cloud platforms.
• Design and implement scalable chargeback/showback models, allocation frameworks, and budget controls across business units.
• Serve as the primary expert on cloud cost optimization, including automation of rightsizing, usage analysis, and commitment planning (RI/SP/CUD).
• Collaborate with cloud engineering and architecture teams to ensure cost considerations are embedded in system design and scaling strategies.
• Provide financial oversight and scenario modeling to support large-scale cloud investments and vendor negotiations.
• Own and maintain FinOps dashboards, data pipelines, and cloud billing integrations with BI platforms.
• Define and drive FinOps best practices, governance standards, and cross-functional training initiatives.
• Mentor other analysts and serve as a lead contributor to FinOps maturity and tooling strategies.​

Job Complexity:

Leads the most complex, high-impact cloud financial analysis and optimization initiatives. Translates technical usage into strategic financial insights.

Required Supervision:

Operates independently with a high degree of autonomy. Trusted to guide FinOps execution and influence enterprise cloud strategy.

Expertise:

Deep subject matter expertise in cloud billing, cost modeling, and FinOps strategy. Recognized as a key influencer in cloud financial planning and optimization.​

Qualifications:

• ​ Bachelor’s or Master’s degree in Finance, Data Science, Engineering, or a related field.
• 7+ years of experience in cloud cost optimization, infrastructure finance, or enterprise technology operations.
• Advanced knowledge of public cloud platforms (AWS, Azure, GCP), billing constructs, and pricing strategies.
• Proficiency in SQL, Excel, and BI tools such as Tableau, Power BI, or Looker.
• Experience with cloud cost management platforms (e.g., Apptio Cloudability, CloudHealth, native tools).
• Strong technical acumen, communication skills, and ability to collaborate across engineering and finance.
• FinOps Certified Practitioner or Professional strongly preferred.

Summary:

Leads advanced financial analysis and optimization strategies for cloud infrastructure, providing expert-level insight and technical guidance to drive cost efficiency, forecasting accuracy, and financial accountability across multi-cloud environments. This role partners closely with engineering, finance, and procurement teams to enable strategic cloud investment decisions.​

Duties & Responsibilities:

• ​ Lead in-depth cost modeling, forecasting, and trend analysis for AWS, Azure, GCP, and other cloud platforms.
• Design and implement scalable chargeback/showback models, allocation frameworks, and budget controls across business units.
• Serve as the primary expert on cloud cost optimization, including automation of rightsizing, usage analysis, and commitment planning (RI/SP/CUD).
• Collaborate with cloud engineering and architecture teams to ensure cost considerations are embedded in system design and scaling strategies.
• Provide financial oversight and scenario modeling to support large-scale cloud investments and vendor negotiations.
• Own and maintain FinOps dashboards, data pipelines, and cloud billing integrations with BI platforms.
• Define and drive FinOps best practices, governance standards, and cross-functional training initiatives.
• Mentor other analysts and serve as a lead contributor to FinOps maturity and tooling strategies.​

Job Complexity:

Leads the most complex, high-impact cloud financial analysis and optimization initiatives. Translates technical usage into strategic financial insights.

Required Supervision:

Operates independently with a high degree of autonomy. Trusted to guide FinOps execution and influence enterprise cloud strategy.

Expertise:

Deep subject matter expertise in cloud billing, cost modeling, and FinOps strategy. Recognized as a key influencer in cloud financial planning and optimization.​

Qualifications:

• ​ Bachelor’s or Master’s degree in Finance, Data Science, Engineering, or a related field.
• 7+ years of experience in cloud cost optimization, infrastructure finance, or enterprise technology operations.
• Advanced knowledge of public cloud platforms (AWS, Azure, GCP), billing constructs, and pricing strategies.
• Proficiency in SQL, Excel, and BI tools such as Tableau, Power BI, or Looker.
• Experience with cloud cost management platforms (e.g., Apptio Cloudability, CloudHealth, native tools).
• Strong technical acumen, communication skills, and ability to collaborate across engineering and finance.
• FinOps Certified Practitioner or Professional strongly preferred.

About the role

We are building a founding firmware engineering team in India and are looking for strong Firmware Engineers who want to own the foundation of new hardware platforms from day one. This role is focused on low level firmware development, early board bring up, and system level enablement across microcontrollers and infotainment class SoCs.

As a founding member of this team, you will work close to the hardware and have end to end ownership from first power on through a stable, production ready platform. Your work will define boot flows, OS bring up, performance characteristics, and power behavior that future products and teams will build on.

This is a deeply hands-on role for engineers who enjoy operating at the boundary of hardware and software, solving hard problems, and setting technical direction rather than inheriting it. You will collaborate closely with global teams, silicon vendors, and hardware partners while helping establish best practices and technical standards for the India organization.

At Applied Intuition, you will:

• Lead board bring up for new hardware platforms including microcontrollers and infotainment SoCs
• Develop and debug bootloaders and early boot software
• Bring up and customize FreeRTOS, QNX, Linux, and Android on new boards
• Work on Linux kernel and device driver enablement for custom hardware
• Optimize boot time, system startup, and runtime performance
• Drive power optimization across boot, idle states, and active workloads
• Debug complex hardware and software issues using JTAG, logic analyzers, and low level logs
• Collaborate closely with hardware teams, BSP vendors, and silicon partners
• Support system integration, validation, and bring up on real target hardware

We're looking for someone who has:

• 4+ years of strong experience in firmware or low level embedded systems development
• A Bachelor's degree in Computer Science, Embedded Software, Mechatronics, or equivalent
• Hands on experience with board bring up for MCUs or SoCs
• Deep knowledge of FreeRTOS and or QNX for embedded systems
• Experience working with Linux kernel or Android at the platform level
• Solid understanding of bootloaders such as U Boot or custom boot flows
• Strong C and C++ programming skills
• Experience debugging early boot and hardware dependent issues
• Understanding of power management, boot optimization, and performance tuning
• Comfort working close to hardware and reading schematics and datasheets
• Ability to work independently and take ownership from bring up to stabilization

Nice to have:

• Experience with BSP customization and silicon vendor SDKs
• Familiarity with secure boot, firmware update flows, or OTA mechanisms
• Experience supporting customer facing engineering or production bring up
• Experience with cloud-connected vehicle platforms, SDV architectures, and AI-driven automotive applications
• Knowledge of functional safety (ASIL levels), cybersecurity (ISO 21434), and AUTOSAR tooling

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: 2,165,800 - 5,000,000 INR annually.

Role Summary

The Payment Platform Group is the infrastructure backbone of Razorpay — powering every payment, settlement, reconciliation, and risk decision across our merchant network, including cross-border and international transactions. As a Senior Product Manager within this group, you will own the evolution of platform capabilities that are foundational to Razorpay's reliability, efficiency, and growth at scale. This is not a consumer product role. You will be building the systems, APIs, and intelligence layers that thousands of merchants and billions of transactions depend on. The mandate is clear: make the platform faster, smarter, and more resilient — and increasingly, that means architecting for an AI-native future, where payments infrastructure is not just reactive but predictive, self-healing, and continuously optimising.

The ideal candidate brings deep technical fluency, a systems-thinking mindset, and the ability to incorporate AI not as a feature add-on, but as a foundational design principle — shaping how the platform monitors itself, handles exceptions, and enables intelligent payment experiences at scale. You will work at the intersection of infrastructure engineering, risk, compliance, and merchant experience, with full ownership of outcomes. Our product culture is built on three pillars: customer-centricity, end-to-end ownership, and bold decision-making. We hold our PMs to a high bar — define the problem precisely, back it with data, and drive to outcomes. We celebrate intelligent risk-taking and treat every failure as a learning opportunity that makes the system stronger.

Roles and Responsibilities

• Platform Strategy & AI-Native Vision: Define and own the roadmap for your platform domain. Identify where AI can be embedded into the platform's core architecture. Translate this vision into a prioritised, outcome-driven execution plan aligned to Razorpay's business objectives across domestic and international markets.
• AI-Informed Product Development: Champion AI-native thinking in platform design. This means building systems that learn from transaction patterns, flag exceptions before they escalate, and reduce manual intervention in critical payment workflows. Work with engineering to define the right architectural choices that make the platform AI-ready — not as a future aspiration, but as a current engineering standard.
• Technical Leadership: Collaborate deeply with engineering to architect scalable, decomposed platform services. Own the translation of complex technical and business requirements into crisp, actionable specifications. Manage cross-system dependencies and ensure platform changes do not compromise stability, SLA commitments, or merchant experience across any geography or payment method.
• Stakeholder Management: Serve as the primary interface between your pod and internal stakeholders — engineering, finance, compliance, risk, and merchant-facing product teams. Drive alignment across functions and ensure platform priorities reflect both business impact and operational SLA commitments.
• Problem Definition & Conceptualisation: Approach every initiative with a problem-first, data-driven lens. Ensure solutions are designed for the platform's long-term architecture, not just immediate feature delivery. Establish robust feedback loops — through operational metrics, merchant signals, and system telemetry — that allow the platform to continuously improve.
• Operational Readiness & Internal Enablement: Ensure platform capabilities are production-ready, well-documented, and adoptable by internal teams. Define rollout strategies, deprecation plans, and internal SLAs. For merchant-facing surfaces, collaborate with GTM stakeholders to drive adoption and communicate platform changes effectively.

You will be a strong fit if:

• You have experience managing platform, API, or infrastructure products — and understand what it means to own a system other teams depend on
• You have a working understanding of AI/ML concepts and can make informed product decisions about where intelligence belongs in a platform architecture — without necessarily building the models yourself
• You think in systems, not features — and naturally ask "what breaks downstream if we change this?"
• You are comfortable operating across markets and understand the nuances of multi-currency, cross-border payment infrastructure
• You are analytical and metrics-driven; you set clear success criteria before building, not after
• You are comfortable with ambiguity and can move fast without sacrificing rigour
• You have strong stakeholder instincts — you know how to align without consensus-seeking
• You have 5–8 years of product management experience, with at least 2 years in a platform, fintech, or infrastructure context

#LI-DS4

Position Overview

We are looking for a Robotics Engineer specializing in Deployment & Testing to help further the performance and capabilities of Skild AI’s world-class high-level software and products through formalized, rigorous testing. You will design and implement automated software tests and the ecosystems in which they run. As a critical member of the robotics team, you will have an important role in defining the quality standards of our software while accelerating its development.

Responsibilities

• Define, implement, and maintain comprehensive regression tests for Skild AI’s software and products.
• Design and organize test plans according to priority, impact, risk, and feasibility.
• Debug and troubleshoot failures in complex scenarios while testing and/or deployment at customer sites.
• Maintain robots and ensure they are deployment ready.
• Recreate corner cases from production logs into repeatable tests.
• Collaborate closely with robotic software developers and machine learning engineers and provide feedback on what needs to be improved to produce and sustain a top-quality product that meets customer expectations.

Preferred Qualifications

• BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
• Proficiency developing in low-level systems languages (C, C++, Rust, Go) and Python.
• Experience with complex software systems working in real-time with embedded systems.
• Experience with Test Management and Requirements software.
• Experience with ROS/ROS2 or other robotics middleware platforms.
• Previous work experience as a Test Engineer.
• Prior experience developing and deploying software on real robots.
• Deep understanding and practical experience with software engineering principles, including algorithms, data structures, and system design.
• Familiarity with machine learning integration and deployment in robotic systems.

Position Overview

We are seeking a proficient Firmware Engineer that will develop and optimize firmware for BLDC motor control and real-time embedded systems. Key responsibilities include implementing control algorithms, debugging communication protocols, and integrating firmware with frameworks like ROS, while collaborating with hardware teams to ensure system performance. 

Responsibilities

• Develop and optimize firmware for BLDC motor control, including advanced control algorithms and system identification.
• Design, debug, and integrate low-level communication protocols such as RS-485, CAN, UART, and SPI.
• Implement and maintain real-time systems using RTOS (e.g., FreeRTOS, RT Linux, VxWorks).
• Collaborate with hardware engineers to design and validate motor driver circuits and power electronics systems.
• Integrate firmware into higher-level communication frameworks, such as DDS (Distributed Data Service), e.g., ROS.
• Test, validate, and debug firmware systems in the lab.
• Document firmware design processes and contribute to best practices.

Preferred Qualifications

• Bachelor’s or Master’s degree in Electrical Engineering, Robotics, or Mechatronics.
• Hands-on experience in firmware development for robotics, motor control, or embedded systems.
• Expertise in BLDC motor control, including FOC (Field-Oriented Control), PWM, and current/position control techniques.
• Proficiency in low-level communication protocols such as RS-485, CAN, and SPI.
• Experience with real-time embedded systems (e.g., FreeRTOS, RT Linux).
• Familiarity with DDS frameworks (e.g., ROS).
• Proficient in C/C++ for embedded systems and adept with debugging tools.
• Excellent problem-solving skills and ability to handle complex system integration challenges.

Position Overview

We are looking for a Software Engineer to work at the forefront of deploying our cutting-edge AI models, enhancing the performance and capabilities of our embodied systems. You will be responsible for optimizing AI inference processes from lightweight to billion-parameter models, ensuring our robots operate with unmatched efficiency and intelligence in real-world environments. You will work at the intersection of systems and machine learning, directly contributing to making our AI models more powerful and adaptive by ensuring consistent performance in light of variable and perhaps unforeseen compute and hardware constraints.

Responsibilities

• Develop and optimize runtime AI inference pipelines for real-world robotic deployment.
• Build infrastructure, frameworks, and tooling to enable reliable integration of models into robotic systems and informative analysis of production models to drive the direction of architecture choice and deployment system design.
• Formulate specialized optimization solutions for various inference paradigms and scenarios (autoregressive models, denoising models, hierarchical models, state machines, multi-agent systems, cloud-based inference).
• Adapt optimization solutions to various compute, hardware, and networking constraints.

Preferred Qualifications

• BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
• Minimum of 3 years of industry experience.
• Proficiency developing in low-level systems languages (C, C++, Rust, Go), Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
• Deep understanding and practical experience with low-level systems concepts (multithreading, networking, embedded systems, memory management).
• Experience with CUDA.
• Deep understanding of state-of-the-art machine learning techniques and models.
• Experience optimizing various machine learning architectures.
• Experience with machine learning compilers.
• Experience optimizing model inference for robotic systems deployment.

The Role 

Staff - Software Development Engineer in Test

 Responsibilities

• Technical Leadership
• Architect, design, and implement scalable and reusable test automation frameworks for UI, API, and performance testing.
• Drive shift-left testing by integrating automated tests early in the SDLC.
• Optimize existing automation frameworks for faster execution, stability, and reliability.
• Ensure comprehensive test coverage across functional, integration, regression, performance, and security testing layers.
• Establish best practices in test automation using modern tools and frameworks.
• Review and enhance CI/CD pipelines to include automated testing, test reporting, and quality gates.
• Provide technical mentorship to SDET-1 and SDET-2 team members, guiding them on automation, testing best practices, and debugging complex issues.
• Collaboration & Stakeholder Engagement
• Work closely with developers, DevOps, and product managers to define test plans, strategies, and quality metrics.
• Collaborate with development teams to implement unit and integration tests.
• Drive defect triage and resolution processes, ensuring timely identification and fixes.
• Partner with DevOps to enhance test execution in CI/CD pipelines.
• Advocate for quality-first development practices across engineering teams.
• Automation & Tooling
• Develop robust test scripts in Java, Python, or JavaScript using frameworks like Selenium, Cypress, Appium, or Playwright.
• Implement API automation testing using tools such as RestAssured, Postman, or Karate.
• Lead efforts in performance testing using JMeter, Gatling, or Locust.
• Ensure security testing is embedded within test pipelines.
• Maintain test execution reports, dashboards, and key quality metrics using tools like Allure, TestRail, and Datadog.
• Process & Best Practices
• Define and enforce test-driven development (TDD) and behavior-driven development (BDD) methodologies.
• Improve test data management strategies for stable and repeatable test execution.
• Introduce mocking and service virtualization where applicable.
• Conduct code reviews for automation scripts and provide constructive feedback.
• Lead test strategy discussions for microservices and distributed systems testing.

Requirements

• 7-10 years of experience in software development, testing, and automation.
• Strong proficiency in one or more programming languages (Java, Python, JavaScript).
• Experience with test automation frameworks like Selenium, Appium, Cypress, TestNG, JUnit, Playwright.
• Solid knowledge of CI/CD tools (Jenkins, GitHub Actions, GitLab CI, Bamboo, or CircleCI).
• Hands-on experience with containerized environments (Docker, Kubernetes).
• Experience in testing microservices and RESTful APIs.
• Good understanding of AWS, GCP, or Azure for cloud-based testing.
• Exposure to performance and security testing methodologies.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management skills.

What You Will Do:

Get ready to dive into an exhilarating journey as you work on the bring-up, validation, and debugging of a groundbreaking interference accelerator chip/chiplets! Here’s what you can look forward to:

• Work on chip(s) bring up, validation and debug of cutting-edge interference accelerator chiplet. This includes cutting-edge technology: test and validate high-speed serial protocols like PCIe Gen5, high-speed memory interfaces such as LPDDR5, and die-to-die chiplet interconnect blocks.
• Innovate and execute:** Create and implement comprehensive test bring-up and validation plans alongside your dynamic team, develop automated randomization of software/firmware kernel functions and logging instrumentation in conjunction with self-checking post processors
• Craft impactful test scripts:** Develop test scripts and embedded firmware functions for host systems that will test and validate aspects of our high-speed interfaces, including PCIe, LPDDR, and D2D, pushing the boundaries of what's possible.
• Equip your workspace: Collaborate with your team to procure and acquire the latest lab equipment, ensuring you have the tools needed to succeed.
• Collaborate and conquer:** Work hand-in-hand with hardware, software, and operations teams on exciting challenges such as ATE tests and hardware/software debugging, fostering a spirit of teamwork and innovation.

What you will bring:

• Do you have the following qualifications and Experience?
• BS/MS in Electrical/Computer Engineering with 5 + years industry experience working with high performance SoC
• Familiarity with high speed serial protocol (such as PCIe Gen3/4/5) and/or high speed external memory technology (such as LPDDR3/LPDDR4/LPDDR5 and/or high speed I/O standards.
• Excellent debugging verbal and written communication skills
• Capable of working effectively across cross functional organizational boundaries.

The Problem and the Role

OpenFX is on a mission to move money as freely as data, unrestricted by time zones, banking hours, or legacy systems. We are building the infrastructure that will power the next generation of cross-border payment systems for institutions.

We are seeking an exceptional Head of Design to lead our design organization during a critical phase of product maturity and scale. You will own the end-to-end design vision for our platform, creating intuitive interfaces that make complex financial operations feel simple for our institutional partners.

This is a foundational role where you will lead the design strategy for our core suite of products across multiple currencies and blockchain networks. Your work will directly impact how banks, payment providers, and fintech companies manage billions in transaction volume. You will establish design operations that can support our 10x growth trajectory, building systems that enable rapid iteration without sacrificing quality or consistency.

What You'll Actually Do & Own

• Audit and Rebuild:
  In your first six months, you will conduct a comprehensive audit of our current design system and user experience, identifying critical gaps where design debt is creating operational friction or limiting our ability to scale. You will establish the foundation for a world-class design organization.

• Design Financial Tooling:
  You will work closely with our product and engineering teams to improve our trading and treasury management interfaces, bringing sophisticated financial operations tooling to life through clean, purposeful design. This means understanding the nuances of how traders monitor liquidity across multiple venues, how treasury teams manage capital allocation decisions, and how operations teams need to track and reconcile thousands of transactions daily.

• Build the Design System:
  You will create a scalable design system that supports multiple product lines, define our approach to user research with institutional clients, and ensure that accessibility and usability standards are embedded in everything we ship. You will establish design operations that enable rapid iteration without sacrificing quality or consistency.

• Build and Mentor the Team:
  You will build and mentor a design team as we scale, establishing the culture, processes, and standards that will define design excellence at OpenFX. As a founding design leader, you will define the hiring standards, the voice, and the culture of the design organization.

• Shape Design Strategy:
  You will partner effectively with product managers and engineers to make smart tradeoffs under constraints. You will articulate design rationale that connects user needs to business outcomes, and you will be comfortable making decisions with imperfect information while moving quickly. Your design decisions will fundamentally shape our product trajectory and competitive positioning.

What Success Looks Like

• Platform Transformation:
  In your first year, you will have transformed our platform's usability, making previously manual or error-prone operations intuitive and reliable. Our financial institution partners will describe our tools as best-in-class compared to competitors.

• Design System Velocity:
  Your design system will enable our engineering team to ship new features faster while maintaining visual and interaction consistency across the platform.

• Organizational Foundation:
  You will have built the foundation for a world-class design organization that can scale with our ambitious growth plans, establishing the culture, processes, and standards that will define design excellence at OpenFX.

Requirements

• 8+ Years in Design with Financial Systems Leadership:
  You have 8+ years of design experience with at least 3 years leading design for trading systems, market-making platforms, treasury management tools, or institutional financial software. You have designed interfaces where millions of dollars move based on user actions, and you understand the unique requirements of building for high-stakes financial decision-making.

• Trading UI/UX Expertise:
  You have deep, hands-on experience with trading UI/UX patterns—order books, position management, P&L visualization, risk dashboards, and real-time data displays. You have wrestled with the challenge of presenting dense financial information clearly without overwhelming users, and you know how to design for both novice operators and expert power users within the same platform.

• Banking and Payments Product Knowledge:
  You bring substantial knowledge of banking and payments products, understanding how financial institutions think about onboarding flows, KYC/compliance interfaces, reconciliation tools, reporting systems, and operational workflows. You have designed for regulated environments and appreciate the balance between innovation and institutional requirements.

• Systems Thinking:
  You are a systems thinker who can architect comprehensive design frameworks while also obsessing over pixel-perfect details. You know when to standardize components and when custom solutions are warranted. You understand how design decisions at the component level cascade into product-wide implications.

• Collaborative and Pragmatic:
  You are collaborative and pragmatic, knowing how to partner effectively with product managers and engineers to make smart tradeoffs under constraints. You can articulate design rationale that connects user needs to business outcomes, and you are comfortable making decisions with imperfect information while moving quickly.

• Portfolio Evidence:
  You can point to a portfolio demonstrating your experience with financial services design, particularly trading systems or institutional platforms. Your portfolio shows both strategic vision and execution excellence.

Preferred

• Digital Asset Fluency:
  You are fluent in both fiat and digital asset contexts. Whether it's traditional FX trading, payment processing, or blockchain-based settlement, you understand the fundamental operations and can translate complex technical concepts into elegant user experiences. Experience with stablecoins, DeFi protocols, or crypto trading platforms is a significant advantage.

• Design System Architecture:
  Experience building design systems from scratch for complex B2B platforms, including component libraries, design tokens, and documentation systems that enable non-designers to build consistent interfaces.

• User Research in Institutional Contexts:
  Experience conducting user research with institutional clients—understanding how to extract insights from busy financial professionals and translate them into actionable design improvements.

Why This Role?

• Design Leadership:
  You will be joining at an inflection point where design can fundamentally shape our product trajectory and competitive positioning. As we scale, you will define the hiring standards, the voice, and the culture of the design organization.

• The Frontier of Fintech:
  You will work on technically sophisticated problems at the frontier of fintech innovation, helping to build the infrastructure that powers the next generation of global money movement. You will learn the inner workings of global finance (FX liquidity, settlement, treasury), but you will apply them to the new payment stack as well as legacy rails of the past.

• Direct User Access:
  You will have direct access to institutional users—banks, payment providers, and fintech companies managing billions in transaction volume. You will see the immediate impact of your design decisions on real financial operations.

• The Team:
  You are joining a team of ex-Stripe, J.P. Morgan, and PayPal product managers and engineers. We are backed by Accel and Lightspeed, and we value design as a core part of the product. We are scaling our infrastructure to meet exponential demand while building the future of money movement.

To apply: Please submit your portfolio demonstrating your experience with financial services design, particularly trading systems or institutional platforms, along with your resume.

ROLE SUMMARY

We are looking for a skilled SAP Fiori Developer to join our SAP Center of Excellence. The ideal candidate will be responsible for designing, building, and maintaining SAP Fiori applications -from updating and enhancing existing dashboards and apps to developing brand-new Fiori applications from scratch, including full-stack integration with backend SAP tables and business logic via OData services and BAPIs.

You will work closely with functional consultants, SAP basis administrators, and business stakeholders to deliver intuitive, high-performance Fiori solutions across SAP modules including MM.

KEY RESPONSIBILITIES

Fiori Application Development

• Design and develop new SAP Fiori applications from scratch using SAPUI5 and the SAP Fiori Launchpad framework
• Build Fiori Freestyle and Fiori Elements apps (List Report, Object Page, Worklist, Overview Page, Analytical List Page)
• Develop custom Fiori apps leveraging SAP Business Application Studio (BAS) or Web IDE
• Implement responsive and accessible UI patterns following SAP Fiori Design Guidelines
• Develop reusable UI components, custom controls, and application-level fragments

Maintenance & Enhancement of Existing Apps

• Enhance, extend, and troubleshoot existing SAP Fiori standard and custom applications
• Apply SAP Fiori extensions using SAP's Adaptation Editor and UI Flexibility (UI5 Flexibility / Key User Adaptation)
• Migrate legacy Web Dynpro or ABAP-based transactions to modern Fiori UX
• Optimize existing Fiori apps for performance, device compatibility, and usability
• Manage and update Fiori Launchpad configurations: roles, catalogs, groups, and target mappings

Backend Integration & SAP Table Connectivity

• Create and maintain OData services (V2 and V4) using SAP Gateway (transaction SEGW) or CAP (Cloud Application Programming Model)
• Connect Fiori apps to SAP backend tables, function modules, BAPIs, and CDS (Core Data Services) views
• Write and optimize ABAP code to support Fiori service layers — including GET_ENTITY, GET_ENTITYSET, CREATE_ENTITY, UPDATE_ENTITY, and DELETE_ENTITY methods
• Design and consume CDS views with appropriate annotations (UI, OData, Analytics) for Fiori Elements apps
• Implement deep entity relationships, batch operations, and function imports in OData services
• Debug and optimize OData performance using Gateway Client and backend ABAP tools

Dashboard & Analytics Development

• Build and update SAP Fiori Overview Pages and Analytical List Pages for real-time KPI dashboards
• Integrate Smart Charts, Smart Tables, and Micro Charts using SAP's SAPUI5 library
• Connect dashboards to SAP BW/4HANA or SAP Analytics Cloud (SAC) data sources where required
• Design tile-based KPI representations using Fiori Launchpad dynamic tiles and target navigation

DevOps, Testing & Documentation

• Write unit tests using QUnit and integration tests using OPA5 (One Page Acceptance) framework
• Use Git-based version control for all development artefacts; follow CI/CD best practices
• Transport Fiori artefacts across landscapes (DEV → QAS → PRD) using CTS+ or ABAP transport management
• Prepare and maintain technical documentation including solution design documents, OData service maps, and test plans

REQUIRED SKILLS & QUALIFICATIONS

Mandatory Technical Skills

• 3+ years of hands-on SAP Fiori / SAPUI5 development experience
• Proficiency in SAPUI5 (MVC architecture, data binding, routing, fragments, dialogs)
• Strong knowledge of OData V2/V4 service creation using SAP Gateway (SEGW)
• Solid ABAP programming skills: CDS views, function modules, BAPIs, classes, enhancement spots
• Experience with SAP Business Application Studio (BAS) or Eclipse-based SAP Web IDE
• Hands-on experience with Fiori Launchpad configuration and Role/Catalog management
• Knowledge of SAP Fiori Elements and SAP annotations for auto-generated UIs
• Familiarity with HTML5, CSS3, JavaScript (ES6+), and JSON
• Experience transporting Fiori/UI5 content via CTS+ or ABAP package management

Preferred / Good-to-Have Skills

• Experience with SAP BTP (Business Technology Platform) and CAP (Cloud Application Programming Model)
• Exposure to SAP RAP (RESTful ABAP Programming Model) for OData V4 services
• Familiarity with SAP S/4HANA Embedded Analytics and CDS-based virtual data models (VDMs)
• Basic understanding of SAP functional processes in at least one module: MM, SD, FI, or PP
• Knowledge of SAP Fiori 3 / Horizon visual theme implementation
• Experience with Git, Jenkins, or other CI/CD pipelines for SAP development
• Exposure to SAP Analytics Cloud (SAC) integration or SAP BW queries as OData sources

PREFERRED CERTIFICATIONS

• SAP Certified Development Associate – SAP Fiori Application Developer is highly preferred

About the role

Information Security at HackerRank is responsible for protecting our platform, our customers, and our employees - while enabling teams to build and ship with confidence. We work closely with Engineering, Product, GTM, IT, and Legal to ensure security is embedded into how we operate, not layered on after the fact.

This is a senior leadership role responsible for owning HackerRank’s information security function end-to-end. You’ll set direction, build and lead the team, and be the primary security partner to Engineering, Product, and Go-To-Market teams. You’ll help customers and prospects feel confident sharing their data by providing reliable information and following through with internal teams.

You’ll work closely with Go-To-Market (GTM), product, engineering, and IT teams to complete customer security questionnaires, respond to follow-up questions, and support day-to-day security operations. This role contributes to improving HackerRank’s security posture through execution, documentation, and collaboration.

The Director of Information Security will lead and scale HackerRank’s global information security function, managing the Information Security team, setting and executing security strategy, driving risk management, and ensuring the security of our technology, data, and customer environments.

This role operates globally and partners closely with the PED team, Product, Engineering, IT, GTM, and Customer teams to align security strategy with business objectives, mitigate risk, and enable secure growth. The Director will also represent HackerRank’s security posture in customer and executive-facing discussions.

What you’ll do 

Security Strategy & Ownership

• Own HackerRank’s information security strategy across application security, cloud security, data protection, and incident response
• Set clear priorities, standards, and expectations for how security operates across the company
• Anticipate future risks as the business, product, and customer base scale

Customer Trust & GTM Partnership

• Act as a senior, customer-facing security leader in sales cycles, renewals, and security reviews
• Own responses to complex customer security questionnaires and escalations
• Partner closely with GTM leadership to unblock deals while maintaining a high security bar

Leadership & Team Building

• Lead and grow the information security team, including hiring, mentoring, and performance management
• Create clear ownership across security operations, compliance, and risk
• Build strong working relationships with Engineering, Product, and IT leadership

Compliance & Risk Management

• Own and evolve compliance programs (e.g., SOC 2, ISO 27001 / 42001, GDPR)
• Lead audits, risk assessments, and remediation efforts with clarity and follow-through
• Translate risk into clear, actionable decisions for business and technical leaders

Execution & Incident Readiness

• Ensure strong day-to-day security operations, including monitoring, vulnerability management, and incident response
• Lead response to security incidents and post-incident reviews when required
• Drive continuous improvement through better tooling, automation, and processes

Who you are

• Bring 10+ years of experience in information security, with experience leading security programs or teams
• Strong background in SaaS, cloud-native, or product-led companies
• Experience in setting up security frameworks and compliance standards (SOC 2, ISO, GDPR, NIST)
• Experience partnering closely with Engineering, Product, and GTM teams
• Calm, clear communication - especially in high-stakes or ambiguous situations
• Bonus: Experience scaling security in a fast-growing SAAS company

You will thrive in this role if you:

• Are comfortable owning security decisions and explaining trade-offs to senior leaders
• Enjoy being customer-facing and representing security with clarity and confidence
• Can balance pragmatism and rigor - protecting the company without slowing it down
• Know how to move teams through influence, not fear or bureaucracy

What you will do:

The role requires you to be part of the team that helps productize the SW stack for our AI compute engine. As part of the software team, you will be responsible for the development, enhancement, and maintenance of software kernels for next-generation AI hardware. You possess experience building software kernels for HW architectures. You possess a very strong understanding of various hardware architectures and how to map algorithms to the architecture. You understand how to map computational graphs generated by AI frameworks to the underlying architecture. You have had past experience working across all aspects of the full stack toolchain and understand the nuances of what it takes to optimize and trade off various aspects of hardware-software co-design. You are able to build and scale software deliverables in a tight development window. You will work with a team of compiler experts to build out the compiler infrastructure, working closely with other software (ML, systems) and hardware (mixed signal, DSP, CPU) experts in the company.

What you will bring:

Minimum:
MS or PhD in Computer Engineering, Math, Physics, or related degree with 10+ years of industry experience Strong grasp of computer architecture, data structures, system software, and machine learning fundamentals Proficient in C/C++ and Python development in Linux environment and using standard development tools Experience implementing algorithms in high-level languages such as C/C++ and Python Experience implementing algorithms for specialized hardware such as FPGAs, DSPs, GPUs, AI accelerators using libraries such as CuDA etc. Experience in implementing operators commonly used in ML workloads—GEMMs, Convolutions, BLAS, SIMD operators for operations like softmax, layer normalization, pooling, etc. Experience with development for embedded SIMD vector processors such as Tensilica. Self-motivated team player with a strong sense of ownership and leadership

Preferred:
Prior startup, small team, or incubation experience.
Experience with ML frameworks such as TensorFlow and/or PyTorch.
Experience working with ML compilers and algorithms, such as MLIR, LLVM, TVM, Glow, etc.
Experience with a deep learning framework (such as PyTorch or TensorFlow) and ML models for CV, NLP, or recommendation.
Work experience at a cloud provider or AI comp.

Location: Hybrid, working onsite at our Bengaluru, India offices 3-5 days per week.

What you will do:

 The role requires you to be part of the team that helps productize the SW stack for our AI compute engine. As part of the software team, you will be responsible for the development,

enhancement, and maintenance of software kernels for next-generation AI hardware. You possess experience building software kernels for HW architectures. You possess a very strong

understanding of various hardware architectures and how to map algorithms to the architecture. You understand how to map computational graphs generated by AI frameworks to the

underlying architecture. You have had past experience working across all aspects of the full stack toolchain and understand the nuances of what it takes to optimize and trade off various

aspects of hardware-software co-design. You can build and scale software deliverables in a tight development window. You will work with a team of compiler experts to build out the

compiler infrastructure, working closely with other software (ML, systems) and hardware (mixed signal, DSP, CPU) experts in the company.

What you will bring: 

Minimum:

MS in computer engineering, math, physics, or a related degree with 5+ years of industry experience or PhD in computer engineering, math, physics, or a related degree with 1+ years of industry experience

Strong grasp of computer architecture, data structures, system software, and machine learning fundamentals.
Proficient in C/C++ and Python development in Linux environments and using standard development tools.
Experience implementing algorithms in high-level languages such as C/C++ and Python.
Experience implementing algorithms for specialized hardware such as FPGAs, DSPs, GPUs, and AI accelerators using libraries such as CUDA, etc. 
Experience in implementing operators commonly used in ML workloads—GEMMs, Convolutions, BLAS, SIMD operators for operations like softmax, layer normalization, pooling, etc.

Experience with development for embedded SIMD vector processors such as Tensilica.
Self-motivated team player with a strong sense of ownership and leadership.

Preferred:

Prior startup, small team, or incubation experience.

Experience with ML frameworks such as TensorFlow and/orPyTorch.

Experience working with ML compilers and algorithms, such as MLIR, LLVM, TVM, Glow, etc.

Experience with a deep learning framework (such as PyTorch or TensorFlow) and ML models for CV, NLP, or recommendation

Work experience at a cloud provider or AI compute/subsystem company.

Position Overview:  

As a Staff Software Engineer at Diligent, you’ll create robust, scalable, and secure microservices that power our SaaS platform for governance. You’ll leverage AWS (serverless or migrations) with TypeScript, own services end-to-end (code, deployment, monitoring), drive architecture discussions, and regularly demo to the department. A critical part of this role is shaping our AI strategy: you’ll lead design decisions, embed AI responsibly into systems, and mentor teams on AI capabilities, safety, and governance. 

Key Responsibilities: 

• Champion the design and delivery of secure, high-performance microservices on AWS, driving architecture decisions and empowering team members through mentorship. 

• Set technical direction across multiple teams, spotting system pain points and proposing improvements. 

• Pioneer AI-driven solutions by advising on model capabilities, crafting effective prompt strategies, and embedding governance and monitoring into development workflows. 

• Partner with Product, Security, and DevOps to shape technical roadmaps, ensure compliance, and seamlessly integrate AI features that deliver real business value. 

• Continuously elevate our toolkit by evaluating and piloting cutting-edge technologies (including AI toolchains), optimizing for performance, cost efficiency, and developer productivity. 

• Own projects end-to-end—from ideation and prototyping to deployment, monitoring, and iteration—ensuring resilient, maintainable systems and top-notch code quality. 

• Mentor engineers in best practices and AI-augmented workflows, fostering a culture of experimentation, learning, and ethical AI adoption. 

• Stay ahead of emerging AI trends and regulations, proactively adapting designs and practices to meet evolving standards and steer future innovation. 

Required Experience/Skills  

• 7–10 years delivering secure, scalable applications in agile environments. 

• Understanding of model architectures (e.g., transformer vs. retrieval-augmented), bias and safety concerns, prompt engineering, and proven experience shaping AI strategy and mentoring teams on responsible AI use. Ability to architect AI systems with embedded monitoring and governance. 

• Design and review scalable, high-performance system architectures, APIs, and data models, while writing high-quality, testable code in Node.js, React, and TypeScript/JavaScript, including reusable libraries and frameworks. 

• Lead end-to-end DevOps and platform engineering, including CI/CD pipeline design with strong guardrails, infrastructure-as-code and modern deployment strategies, cloud observability and incident response, and cost-aware architecture and capacity planning across AWS, Azure, and GCP 

• Integrates security best practices (IAM, secrets management) into all work, including AI components, and embeds bias/privacy checks in delivery pipelines. 

• Strong communication of technical and AI-related concepts to diverse stakeholders; proven ability to lead projects, influence engineering culture, and mentor peers in AI-augmented workflows. 

• Degree in Computer Science, Engineering, Mathematics, or equivalent experience. 

 *** Only Bangalore candidates may apply

Atomicwork is on a mission to transform the digital workplace experience by uniting people, processes, and platforms through AI automation. Our team is building a modern service management platform that enables growing businesses to reduce operational complexity and drive business success. 

We’re looking for a QA Lead to join our team. You will be responsible for leading the overall quality assurance strategy, test planning, execution, and automation for software applications. This role involves overseeing the team of QA analysts, collaborating with development and product teams, and implementing best practices to ensure software quality, performance, and security. The ideal candidate has a deep understanding of manual and automated testing processes and is experienced in leading QA teams in Agile environments. 

This position is based out of our Bengaluru office. We offer competitive pay to employees and practical benefits for their whole family. 

If this sounds interesting to you, read on. 

What we’re looking for (qualifications) 

We are not big on formal qualifications, and we value hands-on skills. We also enjoy working with people who are looking to learn new things and have a sense of responsibility toward their work. 

• Technical Skills 

• Strong knowledge of SDLC, STLC, Agile/Scrum, and DevOps. 

• Hands-on experience with test automation frameworks (Selenium, Cypress, Playwright, Appium). 

• Experience with API testing (Postman, RestAssured, SoapUI). 

• Proficiency in performance testing tools (JMeter, LoadRunner). 

• Knowledge of SQL for database validation and backend testing. 

• Experience integrating automated tests into CI/CD pipelines. 

• Leadership & Soft Skills 

• ✔ Strong leadership and team management abilities. 

• ✔ Excellent verbal and written communication. 

• ✔ Ability to work in a fast-paced, collaborative environment. 

• ✔ Analytical mindset with attention to detail 

• 7+ years of experience in software quality assurance, including 3+ years in a leadership role. 

• Proven experience in leading QA teams in Agile environments. 

• ISTQB Advanced Level or equivalent certification is a plus. 
  
• Should be familiar with Code editors like Cursor.

What you'll do (responsibilities) 

• Test Strategy & Leadership 

• Define and implement a comprehensive test strategy that aligns with business goals and software development processes. 

• Lead and mentor a team of QA analysts and automation engineers, providing technical guidance and review their work. 

• Establish and enforce QA best practices, standards, and methodologies across projects. 

• Work closely with engineering, DevOps, and product management teams to ensure quality is embedded throughout the software development lifecycle. 

• Test Planning & Execution 

• Develop test plans, test cases, and test scripts for functional, regression, integration, performance, and security testing. 

• Ensure adequate test coverage by mapping test cases to business and technical requirements. 

• Oversee manual and automated test execution, ensuring high-quality software releases. 

• Implement and maintain test case management tools (TestRail, Zephyr,Jira). 

• Test Automation & CI/CD Integration 

• Define and drive the test automation strategy to increase efficiency and effectiveness of testing. 

• Develop, maintain, and enhance automated test suites using frameworks like Selenium, Cypress, Playwright, TestNG, or Appium. 

• Integrate automated tests into CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps) for continuous testing. 

• Identify opportunities for AI-driven testing to enhance automation capabilities. 

• Defect Management & Reporting 

• Oversee defect tracking and management, ensuring issues are properly documented, prioritized, and resolved. 

• Utilize bug tracking tools (Jira, Azure DevOps, Bugzilla) to monitor defect trends and improve product quality. 

• Generate QA metrics and reports (test execution status, defect rates, test coverage) to inform stakeholders and support decision-making. 

• Performance, Security & Compliance Testing 

• Lead performance testing efforts using tools like JMeter, LoadRunner, or Gatling. 

• Collaborate with security teams to conduct penetration and vulnerability testing. 

• Ensure compliance with industry standards and regulatory requirements (ISO 29119, ISTQB, GDPR, SOC 2, PCI DSS). 

• Agile & DevOps Collaboration 

• Actively participate in Agile ceremonies (sprint planning, daily stand-ups, retrospectives). 

• Advocate for Shift-Left Testing by integrating testing early in the development cycle. 

• Work closely with developers to implement unit testing and code quality practices. 

This role provides an exciting opportunity to work in a dynamic and innovative startup environment, where your contributions will have a direct impact on the product's success and evolution. 

Why we are different (culture) 

As a part of Atomicwork, you can shape our company and business from idea to production. Our cultural values also set the bar high, helping us create a better workplace for everyone. 

• Agency: Be self-directed. Take initiative and solve problems creatively. 

• Taste: Hold a high bar. Sweat the details. Build with care and discernment.

• Ownership: We demonstrate unwavering commitment to our mission and goals, taking full responsibility for triumphs and setbacks. 

• Mastery: We relentlessly pursue continuous self-improvement as individuals and teams, dedicating ourselves to constant learning and growth. 

• Impatience: We recognize that our world moves swiftly and is driven by an unyielding desire to progress with every endeavor. 

• Customer Obsession: We place our customers at the heart of everything we do, relentlessly seeking to understand their needs and exceed their expectations. 

What we offer (compensation and benefits) 

We are big on benefits that make sense to you and your family. 

1. Fantastic team —the #1 reason why everybody joins us. ‍ 

1. Paid time off — Unlimited sick leaves and 24 days off every year. 

1. Health insurance — comprehensive health coverage for your entire family.‍ 

1. Flexible allowances — with hassle-free reimbursements across spends.‍ 

1. Team events — we cover team meet-ups and celebrations for milestones.‍ 

1. Annual outings — for everyone to have fun together. 

What next (applying for this role) 

1. Click on the apply button to get started with your application. 

1. Answer a few questions about yourself and your work. 

1. Wait to hear from us about the next steps. 

This position is located in India. 

Join the Trackonomy Team! 

Want to be part of the next hyper-growth IoT story in Silicon Valley? Our seasoned leadership team has successfully grown the company 100x in four years while securing top VC investors like Kleiner Perkin and 8VC. We have paying customers and are rapidly scaling in the United States and Internationally. Are you looking for a high-energy, fast-paced, team-oriented environment that challenges your talents daily with cutting-edge technologies that solve global problems across multiple markets? Join the Trackonomy Team; we offer opportunities to talented professionals covering all engineering disciplines while creating  unique opportunities for career growth. 

About Trackonomy:

Trackonomy aims to make people and organizations more productive through our next-generation operating system for the connected world. Our unique diversity of technologies allows us to create building blocks and vertically integrated, configurable platforms that enable our customers to drive digital transformation throughout their organization. We have a successful track record of leading initiatives at multibillion-dollar businesses in the Logistics, Industrial, Healthcare, Homeland Security spaces, and more. Despite being in strategic stealth mode, our solutions have been on ABC, CNBC, CNN, FOX, and even featured during US Senate hearings. In 2019 we joined AirBnB, Google, and Twitter as a recipient of the prestigious World Economic Forum Pioneer Award! We have raised over $250 million from top investors, including Kleiner Perkins and 8VC. Trackonomy is headquartered in San Jose, California, in the heart of Silicon Valley. 

Summary:

You will be a core engineer of our early-stage team. We work on everything from machine learning, to security, to high performance computing, to IoT devices, to dynamic web apps, etc. Don’t be surprised if you get to touch every system while you work here, often teaming up with other team members on critical work. Candidates must be comfortable working with microcontrollers and low-level hardware control in a test-driven development environment. The ideal candidate will have experience working with wireless communications modules, IoT technologies, RF protocols and have great troubleshooting and prototyping skills. You will be a role model and live our Vision, Mission, and Values.

Qualifications: 

• 3- 7 years embedded code experience, with emphasis on C
• Bachelor / Masters of Electronics Engineering and 4 years of experience
• Experience with micro controllers and low-level hardware control programming
• Experience with low power embedded devices
• Experience with real time embedded systems
• Experience with firmware development, testing, and system level bring up and debugging
• Experience in working with wireless communications modules (like BLE, LORA, 4G, NB IoT), IoT technologies, RF protocols
• Experience with Nordic (or similar) Semiconductor platforms
• Candidates must have hands-on experience on Linux.
• Exposure to multi-threaded design and implementation.
• Must have hands on experience on GIT
• Good interpersonal, organizational and communication skills
• Team player, be capable of sharing knowledge, learn from others, and support other groups within an organization
• Self-starter, highly motivated

Preferred skills:

• Knowledge about firmware development best practices including proper testing, documentation, debugging, and code review.
• Experience developing bootloaders and firmware over the air update
• Experience on evolving embedded sensor technologies and networks
• Knowledge of one or more scripting languages (Python)
• Basic understanding of subsystem interfacing and I2C, SPI as well as other standard chip interface protocols
• Comfortable reading and interpreting complex electrical schematics
• Experience with embedded network exchange protocols like with RSTP, PTP, LLDP and UDP/TCP is highly regarded

Trackonomy Systems is proud to ensure equal employment opportunities to all individuals regardless of their race, color, religious creed, national origin, ancestry, physical or mental disability, sex, gender, gender identity, gender expression, sexual orientation, age, medical condition, genetic information, marital or registered domestic partnership status, military or veteran status, or any other characteristic protected by state, federal, or local law. 

We strive to provide a stellar experience throughout the application process and ensure all applicants will be given proper consideration based solely on merit and Trackonomy’s business needs.

Trackonomy Systems is dedicated to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need assistance or accommodation due to a disability while interviewing, please contact hr@trackonomysystems.com.