Test Solutions Engineer Jobs

Title: Senior AI QA Engineer Location: Bengaluru (Bangalore) Opportunity: As a Senior AI QA Engineer for our Precision Patient Care Pipeline , you will go beyond traditional functional testing. You will be responsible for building the framework that ensures our clinical insights are accurate, safe, and reliable. This role requires a unique blend of high-level software testing and data engineering to validate complex, non-deterministic medical outputs using a hybrid of automated grading methodologies . Key Responsibilities: Architect Multi-Layered Validation Frameworks: Design and implement structured testing strategies that combine deterministic checks, semantic similarity metrics, and model-based evaluations. Automated Model Grading: Develop systems to evaluate clinical pipeline outputs for faithfulness, safety, and hallucination detection using various automated scoring techniques (e.g., BERTScore, ROUGE, or custom heuristics). Vibe-Driven Development: Leverage agentic AI tools to rapidly prototype complex test harnesses, "red-team" clinical logic, and build internal validation utilities at high velocity. Data Pipeline Integrity: Execute integration and regression tests for data-heavy backend processes, ensuring medical data remains consistent from ingestion to insight generation. Collaborative Strategy: Work closely with Data Scientists and Product Managers to define "Ground Truth" datasets and clinical evaluation rubrics. Root Cause Analysis: Deep-dive into complex system failures to identify whether issues stem from code logic, data drift, or model behavior. Requirements: 6+ years of technical experience in Quality Assurance, with a strong focus on system architecture and backend data validation. Advanced Python Proficiency: Expert-level skills in Python for building custom test scripts and working within AI/ML ecosystems. AI/ML Validation Experience: Proven experience testing model outputs using diverse metrics (e.g., Semantic Similarity, NLP metrics, an

Job title: Liquidity reporting Compliance Finance has mobilised a multi-year Integrity of Regulatory Reporting (IRR) programme to ensure that Regulatory Reporting across the Group is fit for purpose; accurate, timely and complete. The IRR programme is responsible for overseeing the design and implementation of a set of standards and control outcomes that will be consistently applied across the end-to-end Regulatory Reporting Process. IRR will drive the interconnectivity across various strategic transformation programs to ensure linkages and dependencies are well understood and aligned to the IRR standards and control outcomes. The Liquidity Product Based Review (LIQ_PBR) workstream is part of the overall data controls framework for Liquidity Regulatory Reporting. Product Based Reviews enable Finance to develop key assurance that the end to end data flow for Business Data Elements (“BDE’s”), from upstream Primary Booking Systems to downstream Reporting data warehouses (including the Liquidity Reporting Finance Data Application / Platform) complies with the applicable group data standards and controls (‘DMOV’ and ‘DUSE’), is complete and valid for the production of key Liquidity reports and metrics and that data quality or completeness issues discovered through the PBR process are appropriately logged, reported, escalated and managed to resolution. The LIQ_PBR Data Analyst contributes to Global Finance, supporting data flow discovery and documentation, from upstream primary trading and booking systems (PTS) to downstream Liquidity reporting platforms. The role holder will support the Liquidity PBR workstream to undertake quantitative and qualitative data documentation, test case formulation, data test execution and results tabulation, in order to provide the necessary assurance for management with regards to the traceability, lineage, transformation and controls on Liquidity business data elements from source systems to reporting. In this regards, the LIQ PBR d

Job Title: Full Stack Software Development Engineer II (SDE II) Team: Product Engineering Location: Bangalore, India Employment Type: Full-time About the Role As a Full Stack SDE II in Sigmoid's Product Engineering team, you will take ownership of building scalable, reliable, and user-centric web applications. You will collaborate closely with product managers, designers, and system architects to drive features from design to deployment, ensuring robust frontend performance, clean backend services, and efficient database architectures. Key Responsibilities Full Stack Development Design and build responsive, high-performance web interfaces using React, TypeScript, Tailwind CSS, and Shadcn UI, backed by reliable API services using Node.js or Python (FastAPI). Database & API Design Model, query, and optimize relational data structures in PostgreSQL. Design, build, and maintain clean RESTful APIs and microservices. Code Quality & Best Practices Apply SOLID principles, basic design patterns, and clean code principles to write maintainable, scalable, and self-documenting code. Testing & Quality Assurance Implement comprehensive test suites using Jest, React Testing Library, or backend testing frameworks (e.g., PyTest) to maintain high code coverage and prevent regressions. Agile Execution Actively participate in Agile ceremonies (sprints, stand-ups, retrospectives, and planning) to deliver quality code incrementally. Collaboration & Mentorship Partner with cross-functional teams and mentor junior engineers through constructive code reviews and technical guidance. Requirements & Qualifications Technical Skills Frontend 3–5 years of hands-on experience with React, TypeScript, Tailwind CSS, and modern UI component libraries like Shadcn UI. State & Data Fetching Experience with modern client-side state management and data-fetching libraries (TanStack Query, Zustand, or Redux Toolkit). Backend Strong expertise in server-side development using Node.js or

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. Quality Control Intern – Hardware Bengaluru, Karnataka, India Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we're looking for exceptional talent to reimagine the way the world works. Role Overview The Quality Control Intern – Hardware is the checkpoint every recording rig passes through, in both directions. When rigs return from the field, you inspect their condition, run a functional check, and capture a short test recording that you review to confirm the cameras, footage, audio, and storage are all working. Before any rig goes back out, you give the final sign-off that it is field-ready. This is a small role with an outsized impact: a rig that leaves your desk in a bad state means a Field Officer travels to a business, records for hours, and returns with unusable or missing data — a full day lost, and sometimes a burned business relationship. Your job is to make sure that never happens. Precision, consistency, and discipline are the whole game here. What You'll Own Nothing goes to field without your approval; nothing comes back without your inspection and log. You are the last line of defense on rig quality before it reaches a business. Key Responsibilities 1

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. Instawork Robotics Labs (IRL India) · Bengaluru · Internship (Full-time, On-site) Build the hardware that teaches robots about the real world Robots learn from data — and the best data comes from the real world, captured at scale. At IRL India, we’re building Instacore, our proprietary 5-camera + IMU wearable capture rig that records rich, egocentric video of humans doing real tasks in real environments. Hundreds of these units run across India every day, feeding the training pipelines of frontier Physical AI models. Your job : keep this fleet alive, fast, and growing. If you’ve spent nights in a workshop before a Robocon run, wrenched on a Formula Student or BAJA vehicle, or built anything that had to actually work under pressure — this role was designed for you. What you’ll do Own uptime for the Instacore fleet. Build, assemble, test, and troubleshoot the mechanical and electrical systems that keep hundreds of units capturing data daily. Ship hardware iterations fast. Work directly with our robotics team to prototype, integrate, and stress-test improvements to the rig — cameras, IMUs, wiring, mounts, power Get your hands dirty. Sensors, actuators, controllers, soldering irons, 3D printers — this is a workshop role, not a slideware role. Travel and deploy. Set up hardware hubs across India and APAC. You’ll see your work running in the field, not just on a bench. Debug like a detective. Trace faults through hands-on testing, fix them, and document what you learned so the fleet gets more reliable every we

About AlphaSense: The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! About the Role: As a Senior Engineer, QE, you own test strategy and coverage for your team's features and act as a strategic quality partner to the engineers who build them. You design test plans, build and evolve automation frameworks, and embed quality-by-design.You partner closely with developers, product managers, and platform teams to define test requirements, guide teams toward sustainable quality practices, and help us ship with confidence at velocity. You will: Define and execute test strategies across UI, API, and service layers to ensure comprehensive coverage. Develop and maintain reliable automation frameworks and performance testing suites. Utilize AI-assisted tools and agentic workflows to accelerate testing and debugging cycles. Lead risk assessments, release validations, and root-cause analyses for critical issues. Implement shift-left pr

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Developer Infrastructure org is the engine behind Robinhood's entire engineering organization — a collection of tightly integrated teams whose collective mission is to make every engineer at Robinhood faster, more reliable, and exponentially more productive. The org spans four major teams: DevX (Developer Experience), TestX (Test Infrastructure), Backend Platform, and Mobile Platform. DevX owns Robinhood's monorepo and Bazel-based build infrastructure — the critical layer between a developer writing code and that code being ready to ship — along with the company's full CI/CD pipeline and remote build execution cluster. TestX owns the infrastructure behind Robinhood's entire test experience: the integration test environments, and personal development environments that serve as miniature simulations of the full Robinhood system, giving engineers a safe, isolated space to test their code end-to-end before it ever touches production. Backend Platform and Mobile Platform own the core language runtimes, libraries, IDEs, and developer toolchains across Python, Go, TypeScript, Swift, and Android. Together, these teams share a single north star: leveraging AI and agentic systems

About the Team OpenAI is building the next generation of advertising for an AI-powered world. As AI changes how people discover information, explore possibilities, and make decisions, we believe this presents a huge opportunity for small and medium-sized businesses to connect with customers in new ways. The SMB Ads Marketing team is building this opportunity from the ground up. We define how businesses discover OpenAI’s advertising platform, become successful advertisers, and grow their investment over time. Working closely with Product, Ads Engineering, Data Science, and Sales, we combine customer insight, rigorous experimentation, and fast execution to turn early opportunities into scalable growth. About the Role We are seeking a Growth Marketing Manager to build the web and organic growth engine for SMB advertisers at OpenAI. This is a zero-to-one opportunity to shape how businesses discover our advertising platform, understand its value, and become successful advertisers. You will own the SMB Ads web strategy and experimentation roadmap, combining customer insight, analytical rigor, and product judgment to grow qualified discovery and improve conversion. Your scope spans web experiences, organic search, generative engine optimization (GEO), and the journey from first visit through signup and activation. You will work closely with Product, Design, Ads Engineering, Content, and Data Science to turn opportunities into shipped experiences, operating with the speed and ownership of a startup. In This Role, You Will Own the SMB Ads web strategy and roadmap to grow qualified discovery, signup, and advertiser activation. Grow organic discovery through search, content, and GEO. Test new ways to help businesses find and evaluate OpenAI’s advertising offering. Analyze journeys, funnels, and cohorts to identify conversion barriers and prioritize high-impact improvements. Run experiments across landing pages, messaging, navigation, personalization, offers, and conversion flo

About the Team OpenAI develops models that can reason through complex problems and hardware designed for the demands of advanced AI. AI for Chips connects these efforts: applying increasingly capable AI systems to the work of semiconductor engineering. Our goal is to help engineers develop better chips and shorten design cycles. This work brings research, model training, and hardware expertise together to build tools that engineers can use on real designs, with correctness and measurable performance at the center. About the Role We’re hiring a Research Engineer to help OpenAI models solve chip-design problems through reinforcement learning, tool use, and evaluation. You’ll own experiments from the initial idea through implementation and analysis. That means building environments and evaluations, running training, investigating failures, and using the results to decide what to try next. You’ll also build the software needed to make those experiments reliable and reproducible. We value strong coding fundamentals, careful experimental judgment, and the ability to make progress independently. Prior chip-design experience is helpful, but you can learn the domain alongside the team’s hardware specialists. In this role, you will: Build RL environments and evaluations for tasks such as RTL generation, design verification, and physical design optimization. Develop and test approaches that help models use chip-design tools and improve power, performance, and area while preserving correctness. Design experiments, establish baselines, and measure whether improvements hold up on new tasks and designs. Investigate failures across model behavior, rewards, evaluation tools, and experiment infrastructure. Improve iteration speed through better tooling, faster evaluations, and proxy rewards that reflect the outcomes we care about. Turn successful experiments into reusable research code and training workflows, working closely with researchers and engineers. You might thrive in this ro

About the Team The Emerging Products team is a lean, high-output product lab group that builds products at the forefront of model capabilities. We collaborate across all teams within the company, from research and infrastructure to consumer products. The team is responsible for identifying new product opportunities, building them quickly, dogfooding them internally, and then launching the successful products to users. We use data, user research, and analytics to inform our ideas, and make decisions on what experiments are worth iterating, stopping, or scaling. About the Role We’re looking for a senior, product-minded software engineer to own ambiguous 0-to-1 work from idea through prototype, validation, and handoff. This is a full-stack role with a strong frontend and product emphasis: you will build the interfaces and supporting backend systems needed to test new experiences quickly, while making sound architectural choices that enable successful concepts to scale. This role is based in our Mission Bay office in San Francisco. In this role, you will: Build and ship high-quality, product experiments across the full stack. Turn ambiguous user needs and emerging technical capabilities into testable product concepts, using research and metrics to guide iteration. Own technical direction for 0-to-1 projects, balancing speed, reliability, and a clear path from prototype to scalable product. Partner closely with design, product, research, and engineering teams to dogfood, evaluate, launch, and transition successful experiments. You might thrive in this role if you: Have a track record of building and shipping end-to-end products in fast-moving, startup, founder-led, growth, or other high-ownership environments. Bring strong frontend engineering skills and enough backend and systems depth to make sound full-stack architectural decisions. Pair product intuition with evidence, using user research and product data to identify opportunities and make pragmatic tradeoffs. Operat

About the Team OpenAI’s Governance team helps shape how the company responsibly develops and deploys increasingly capable AI. We bring together technical evidence, policy, and operational perspectives to help the company address emerging risks, resolve difficult questions, and make well-supported decisions. Our work includes shaping and improving governance practices, supporting effective oversight, developing clear assessments and recommendations, and ensuring that decisions lead to action. We work closely with research, safety, security, legal, and product teams to identify gaps, reconcile different views, and improve our approach as capabilities and circumstances change. About the Role We are looking for a curious, high-agency Research Program Manager who can reason from first principles, make sense of incomplete or conflicting information, and move difficult work forward. You will help shape the substance of governance reviews, connect ideas and evidence across teams, and develop recommendations that are both well-founded and practical. The work requires someone who can use established approaches where they fit, recognize when circumstances call for a different approach, and update their thinking as new evidence emerges. You should bring sound judgment, a willingness to experiment and learn, and the program-management discipline to turn good analysis into action. Depending on your experience and the team’s needs, your work may focus on safety advisory and board-level oversight, deployment governance, or standards and strategic partner commitments. In this role, you will: Bring together technical, policy, and operational inputs to develop coherent assessments, recommendations, and decision materials for governance bodies and senior leaders. Work through emerging or ambiguous questions, test assumptions, identify gaps or conflicting evidence, and help determine what additional analysis or decisions are needed. Engage critically with research, evaluations, safeguar

About the Team The ChatGPT Search Product Infrastructure team builds the foundational systems that power search experiences across ChatGPT. We develop the product infrastructure that connects models with search systems and other sources of real-time information, enabling ChatGPT to deliver timely, relevant, and trustworthy answers to users around the world. Our work sits at the intersection of product engineering, AI, and large-scale infrastructure. We build shared platforms and abstractions that enable product teams to independently develop, evaluate, and launch new search-powered experiences. These platforms provide the guardrails, testing capabilities, observability, and rollout controls needed to prevent reliability, scalability, quality, and latency regressions while supporting rapid product iteration. The team partners closely with: Post-Training on model launches, experimentation, and prompt optimization Search product verticals on new user experiences Inference on GPU efficiencies Indexing and Retrieval on the systems that identify and deliver relevant information Capacity/Fleet team to ensure optimal regionalized provisioning of GPUs and CPUs About the Role We are looking for an Engineering Manager to lead the team responsible for ChatGPT’s Search Product Infrastructure. You will set the technical and organizational direction for the systems that bring search capabilities into ChatGPT. You will guide architectural decisions across search orchestration, model and prompt integration, serving infrastructure, experimentation, observability, evaluation, and product integrations. You will balance immediate launch and product needs with the long-term reliability, scalability, latency, and maintainability of the platform. A central responsibility of this role is creating leverage for Search product verticals. You will lead the development of extensible platforms that allow those teams to independently build, test, and launch features without requiring ongoing invol

About the Team OpenAI develops models that can reason through complex problems and hardware designed for the demands of advanced AI. AI for Chips connects these efforts: applying increasingly capable AI systems to the work of semiconductor engineering. Our goal is to help engineers develop better chips and shorten design cycles. This work brings research, model training, and hardware expertise together to build tools that engineers can use on real designs, with correctness and measurable performance at the center. About the Role We’re hiring a Software Engineer to build the research infrastructure and tooling that help OpenAI models design silicon. You’ll turn chip-design workflows into reliable environments for reinforcement learning and evaluation, and make it easier for researchers to run experiments and iterate on new ideas. You’ll move between software engineering, tool integration, and open research problems. We value strong coding fundamentals, clear technical judgment, and independent execution. Prior chip-design experience is helpful, but you can learn the domain alongside the team’s hardware specialists. In this role, you will: Build and maintain infrastructure for reinforcement learning environments, evaluations, and long-running experiments. Integrate electronic design automation (EDA) tools into workflows for RTL generation, verification, and physical design optimization. Improve experiment reliability, reproducibility, observability, and performance; debug failures across tools, services, and infrastructure. Develop tooling and model harnesses that let researchers test ideas quickly and measure correctness and power, performance, and area (PPA). Collaborate with researchers and engineers to turn successful experiments into reusable systems and training workflows. Own ambiguous projects end to end, communicate progress, and use results to guide the next iteration. You might thrive in this role if you: Have strong software engineering fundamentals, with

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role The Trusted Agentic Development team sits within GitLab's Developer Experience group and builds the platforms our engineers rely on every day. GitLab engineers increasingly build software with artificial intelligence agents. Agents can generate code and tests in seconds, but they can also produce passing test suites for software that doesn't work as intended. As a Senior Backend Engineer, Trusted Agentic Development, you'll own the technical thesis for closing that validation gap and build the early proof yourself. You'll rethink what validation means when the author is an agent and make the feedback loop

Location Details: India, Remote At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join Our Team We are looking for a Software Development Engineer to assist in building and strengthening our Identity UI team. GoDaddy is a global products seller to customers from all over the world. Our Identity UI serves login, account create as well as profile and preferences for all GoDaddy’s customers. The UI’s we build are among the first the users see on their customer journey, and helps the user keep their profile up to date. Does that sound exciting to you? Then you are made for the role. What you'll get to do... Develop and enhance user-facing features using React Optimize application performance, load times, and overall user experience while modernizing existing UIs Build and maintain unit, integration, and end-to-end test coverage, delivering through CI/CD pipelines Use AI-assisted development tools as part of your daily workflow while critically reviewing and validating generated code Collaborate within a global Agile team alongside product, design, and backend engineering partners Your experience should include... 3+ years of software engineering experience building large-scale applications or distributed systems Strong proficiency in JavaScript, HTML, and CSS, with an understanding of React.js and modern frontend development principles Experience working with RESTful APIs and a foundational understanding of accessibility (a11y) best practices Experience using version control systems (Git preferred), working in Agile teams, and testing and deploying code through CI/CD pipelines (e.g., GitHub Actions) Experience using AI-assisted