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Lead Test Program Development Engineer Jobs

6,753 active opportunities · Updated for October 2026

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Explore current lead test program development engineer jobs. Use filters to narrow by work mode, employment type, experience and date posted.

N
14 days ago

We are seeking a highly skilled and hard-working Senior Test Developer / test engineer to join our multifaceted Enterprise Software QA team. This role offers an outstanding opportunity to leave your mark on the design, construction, optimization and testing of large-scale infrastructure for various foundational NVIDIA unified cloud services and data center offerings. If you are a dedicated engineer with strong expertise in cloud infrastructure and distributed systems and want to apply your skills with AI tools, this role could fit you perfectly. You will thrive in an exciting, innovative environment. What you'll be doing: Work with development teams on test plans for all layers of SW stack for cloud infrastructure, execution, reviews, failure analysis and assessing overall quality and risk. Work with customer PMs on software issues including technical feedback from OEMs and CSPs. Develop key benchmarks to track execution and deploy process improvements to improve efficiency Leverage AI skills to expedite the test scope, test plan, execution and automation workflows. Lead NVIDIA Cloud and Data Center bring up activities which will involve validation, reporting, working with engineering to debug issues, providing design input at times, adding coverage in different areas. Design, develop and maintain CI/CD pipelines for continuous testing in cloud environments when needed. Perform performance, scalability, and reliability testing of cloud services. Implement and maintain test environments in cloud platforms such as AWS, Azure, or Google Cloud. Supervise the infrastructure to alert on significant events, ensuring the highest level of system performance and reliability. Work with various different partner teams to ensure availability of clusters to test on and take the lead in resolve all issues. Working with tea

awsazuredocker
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W
14 days ago

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: Responsible for leading the Cloud Automation Engineering function. Primary focus will be leading a team of other engineers in designing and implementing automation solutions to improve customer experience and increase productivity in our cloud estates. Responsible for maintaining and delivering automation solutions through infrastructure as code, ensuring security best practice, evangelising automation practice and tools, and supporting customer needs, both internal and external. What you'll be doing: Identify opportunities for improvement and automation of operations Design, build, test and implement use cases to drive automation adoption and improve operational efficiency Work closely with the IT Operations team to develop automated incident detection and response mechanisms. Implement proactive monitoring and alerting systems to quickly respond to and resolve critical issues, minimizing downtime and service disruptions Responsible for driving CSI initiatives to improve operations (processes/tools) working with various stakeholders Responsible for providing feedback at various leve

pythonawsazure
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Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE We are seeking a highly technical Lead Release Engineer with a strong engineering foundation to lead the end-to-end release lifecycle of our storage products. You will serve as the bridge between Development, QA, and Product Management — ensuring that complex storage stacks are delivered with high quality and predictable cadences. Unlike traditional project-based release management, this role demands deep hands-on expertise across CI/CD orchestration, codeline management, system-level triaging, fleet operations, and the engineering rigor required for data-critical products. You will own the health of our release pipelines, lead triage war rooms, drive automation initiatives, and participate in on-call rotations to keep CI and test-orchestration infrastructure running reliably. You will also build developer-facing tooling, manage HW test fleet operations, and maintain high-quality integration workflows across our code lines. WHAT YOU'LL DO Release Orchestration: Own the end-to-end release process for storage software and firmware, from development to GA (General Availability). CI/CD Leadership: Design and build optimized pipelines and tools to scale code management and merge operations. Work closely with systems such as Jenkins, test frameworks, Premerge, Orchestrator, and related developer productivity tooling to keep the codeline healthy and actionable. Technical Triaging: Act as the primary technical poin

pythonawsci/cd
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S
Sigmoid
📍 Bengaluru• Full-time
18 days ago

Role: DataOps Solution Architect — Azure Data Platform (Fabric & Databricks) Owns end-to-end architecture of the Azure data platform (Fabric, Databricks, Azure services) and sets the governance, security, and DataOps standards engineering teams implement. Design authority and primary architecture advisor to the client, not the day-to-day builder. Experience Required 8-10+ years overall in data engineering / cloud architecture, including 3+ years as a Solution Architect or in a comparable design-authority role. Microsoft Fabric: 2+ years hands-on. Azure Databricks: 4+ years hands-on. Proven track record designing and delivering enterprise-scale Azure data platforms end-to-end. Azure is mandatory ; experience across multiple client engagements or a consulting/SI background is a plus. Core Technical Expertise Azure Platform Fabric & Databricks architecture. ADF. ADLS. Entra ID. Key Vault. Monitor/Log Analytics. Microsoft Fabric Workspace & environment strategy. Lakehouse/Warehouse. OneLake. Pipelines/Notebooks. REST APIs/CLI. Governance. Azure Databricks Workspace strategy. Unity Catalog. RBAC. Jobs/Workflows. Delta Lake. Asset Bundles. ML platform integration. DevOps & IaC Azure DevOps/GitHub CI/CD. Terraform & Bicep. Branching/release strategy. Reusable IaC modules. Security & Networking Entra ID. RBAC architecture. Private Endpoints/DNS. Key Vault integration. DataOps Standards CI/CD & test gates for pipelines. Data-quality frameworks. Observability/alerting architecture. SLAs/SLOs. Incident-management practices. FinOps guardrails. Key Responsibilities Own end-to-end architecture; translate requirements into scalable, secure, cost-effective designs. Design enterprise-scale Fabric/Databricks architecture including workspace, networking, security, and governance. Set standards for CI/CD, IaC, DataOps, and environment management; ensure enterprise security and regulatory compliance. Evaluate technology options; identify architectural risks a

awsazuregcp
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O
OpenAI
📍 San Francisco• Full-time• Remote
1mo ago

About the Team OpenAI is building the world’s most advanced AI infrastructure ecosystem. The Site Readiness & Development team owns the upstream diligence and development work required to convert powered-land opportunities into executable infrastructure options. About the Role The Site Selection Lead sets the site-selection strategy for powered-land and greenfield/brownfield opportunities. This role defines, with cross-functional partners, what makes a site attractive, executable, and scalable, then turns that shared rubric into portfolio choices and deployment plans. Key Responsibilities Own the site-selection strategy across priority geographies, including market maps, pipeline segmentation, source refreshes, live-location tracking, and portfolio prioritization. Convene Power, Land, Development, Engineering, Construction, Environmental, Community, Commercial, Legal, and Finance partners to define the shared rubric for a high-quality site. Translate that rubric into clear screening criteria across power readiness, land control, timing, scale, cost, community risk, environmental constraints, AHJ path, budget, schedule, and counterparty credibility. Orchestrate Commercial, Legal, Finance, Power, and Development teams to shape exclusivity, initial terms, site-control strategy, funding assumptions, and the path to deployment before deeper commitment. Build a deployment plan for top candidates that identifies capacity, sequencing, capital implications, critical-path approvals, risks, owners, and stage-gate decisions. Lead conceptual site planning and test-fit screening using boundaries, map layers, buildings, substations, roads, parking, laydown, stormwater, utility corridors, acreage, and estimated load. Maintain a single decision-support view of pipeline stage, site health, power readiness, finance review, maps, project evidence, outstanding source data, owners, deadlines, and escalations. Present executive-ready advance, defer, or stop recommendations with clear

REMOTEawsrestai
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L
Lyft
📍 Toronto• Full-time• From C$90K/yr
1mo ago

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. We are looking to hire a Marketing Analytics Lead to join our Marketing Analytics team. This role is for a hands-on analyst who is passionate about telling stories with data, tackling complex problems, and directly influencing marketing strategy through rigorous analysis. You will be supporting the Product Marketing team with strategic analysis and measuring campaign impact. In addition to informing strategy, you will navigate the Marketing and Product worlds to understand how marketing efforts shape downstream product engagement and customer behavior. The ideal candidate has a background in strategic analysis and prior experience leveraging data and insights to develop strategy, measuring marketing campaign performance, and connecting marketing & product work to business impact. Responsibilities: Perform data analysis using first party & third party data, able to dissect business issues, analyze large amounts of data, and draw actionable conclusions Conduct deep-dive analyses to measure the effectiveness and ROI of marketing campaigns across various channels. Go beyond standard metrics to uncover the "why" behind performance. Build, maintain, and improve dashboards and reports that track key marketing KPIs. Ensure that stakeholders have access to timely and accurate data to inform their decisions. Design experiments to test hypotheses and analysis to measure business impact Define, measure and track key marketing metrics over time, occasionally performing deep dives to understand what drives change in metrics Translate insigh

pythonsqlai
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S
1mo ago

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. Stripe builds the most powerful and flexible tools for running an internet business. We handle hundreds of billions of dollars each year and enable millions of users around the world to scale faster and more efficiently by building their businesses on Stripe. To further this important mission, Stripe is building a world class Internal Audit (IA) team. Our IA mission is to make the business better as it grows. We are consumed with the goal of being agile with the business, powered by technology and an accelerator to the speed of controls integration and compliance adoption. About the team Our IA team is responsible for providing objective feedback and insights across the company in relation to the design and effectiveness of Stripe’s business processes, its compliance with laws and regulations and its risk management framework. Unique in our purpose is a cross-functional mandate that invites viewing through a wide lens and collaborating across the business. To enable this engagement, we must build and scale in a rapid-growth, high-volume environment. This is a unique opportunity to join a growing Data Analytics team within audit and work on providing data driven insights across the IA lifecycle. The DA Lead will support Data Analytics and audit fieldwork in execution of the approved Global Audit Plan. They will help develop embedded audit analytics as part of audit planning, fieldwork, and reporting through the execution of data analytics test steps.

pythonsqlaws
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E(
Ema (Enterprise Machine Assistant)
📍 San Francisco Bay Area• Full-time• $135K – $300K/yr
1mo ago

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Who are you? We are seeking an experienced Enterprise Software Engineer to join the Ema team. As an Enterprise Software Engineer, you will be responsible for designing, developing, and maintaining our enterprise software applications. You will work with a cross-functional team of product managers, designers, and developers to deliver high-quality software solutions that meet the needs of our enterprise clients. The ideal candidate has experience building products across the stack and a firm understanding of web frameworks, APIs, databases, and multiple back-end languages. Most importantly, you are excited to be part of a mission-oriented, fast-paced, high-growth startup that can create a lasting impact. You will: Develop and maintain enterprise software applications, including API, data, application, and service development Write clean, efficient, and maintainable code by employing test-driven development process. Build scalable and reliable back-end systems using languages like Go and Python Develop and maintain APIs using REST or GraphQL Integrate multiple enterprise applications and services using a scalable framework like FastAPI Build and maintain data schema using PostgreSQL,

javascriptpythonjava
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At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake's Corporate Development team operates across acquisitions, strategic investments, and partnerships - and as that activity scales, so does the need for strong operational infrastructure across the full lifecycle. We are seeking a Corporate Development Operations & M&A Integration Lead to own diligence support and integration execution, build the systems and processes that make the team run, and maintain visibility across our Snowflake Ventures portfolio. The scope spans Corporate Development operations, including M&A diligence and integration, and portfolio oversight. This is a high-impact role for someone who is equally comfortable driving a complex diligence process and post-close integration and building the playbooks and tooling that make the next one faster. You bring structure to ambiguous situations, communicate clearly across all levels of the organization, and are energized by leveraging AI to build systems that scale. What You Will Be Doing M&A Diligence & Integration Bring an integration and operational lens into the diligence process. This includes evaluating organizational fit, identifying integration risks, reviewing operational readiness, and flagging issues that should inform deal structure or timing. Coordinate cross-functional

restaigo
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At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. The success and effectiveness of our engineering teams is the most critical factor in helping customers succeed with Snowflake. As a Staff Product Manager for Developer Experience, you will lead the mission to build an industry-leading, AI-forward developer experience for the engineers at Snowflake. This is a high-impact, high-ownership role where you will act as the single-threaded owner (DRI) for our internal developer platform and product validation strategy. Your primary focus will be redefining how the Snowflake product is developed and tested - shaping an AI-forward and opinionated developer experience and a modern, intelligent test pyramid that balances speed, reliability, and coverage. You will ensure our internal tools enable engineers to move with maximum velocity while maintaining the world-class quality our customers expect. AS A STAFF PRODUCT MANAGER, YOU WILL : Drive AI-Native Validation: Lead the transformation of our testing suites by integrating AI to generate test cases, identify regression risks, and optimize test selection, significantly accelerating the time-to-impact. Redefine Developer Workflow: Build an AI-forward developer experience that removes friction from the "inner loop" of development, ensuring engineers can validate and iterate on their idea

ci/cdaigo
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Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Department Intro: We are advancing the future of semiconductor packaging through innovative 2.5D, 3D, and heterogeneous integration technologies. Our team develops the processes that enable next-generation AI and high-performance computing products, working across materials, device, design, manufacturing, and test engineering to solve complex technical challenges. If you're excited by emerging packaging architectures and breakthrough integration approaches, you'll find meaningful opportunities to make an impact here. Position Overview: As a Process Integration Lead for Advanced Packaging, you will lead a team focused on developing and integrating advanced packaging technologies from concept through full-scale manufacturing. This role plays a critical part in enabling high-performance multi-die solutions by driving technology development, process integration, technology transfer, and collaborative execution. You will help shape the roadmap for next-generation packaging platforms while mentoring a highly skilled technical team. Responsibilities: Manage and grow a team responsible for seamless process integration across 2.5D and 3D packaging platforms, including advanced interconnect architectures, die-stacking solutions, and HBM implementation. Spearhead the development, optimization, and qualification of emerging packaging technologies through experimental design (DOE), process analysis, performance validation, and establishment of design rules. Improve

airecruitment
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At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. About the Team Strategic Finance is the commercial and analytical engine behind Snowflake's product and revenue decisions. The team operates at the intersection of product strategy, pricing, and investment prioritization. Strategic Engagements, the function this role sits within, owns Snowflake's most consequential customer pursuits, partnerships, and M&A engagements. We bring financial, product, market, and pricing depth to the deals that determine quarters, set commercial precedent, and shape Snowflake's largest customer relationships. About the Role We are hiring two Strategic Engagements Deal Leads to own the commercial structuring and execution of Snowflake's most consequential customer engagements across North America. You will own the deal-by-deal economic frame, commercial recommendation, and structuring approach for the company's highest-priority strategic engagements. The portfolio spans the full range of qualifying deals: net-new logo acquisitions, multi-year capacity expansions in installed-base accounts, partnership-driven commercial structures, and deals that set commercial precedent for new business models. You will partner directly with account leadership, Specialist Sales, AI Specialists, Deal Desk, Legal, Pricing, and Revenue Accounting. You will join

sqlawsai
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Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Overview We are looking for a strong software and platform engineer to join our Production Engineering team in Bangalore as an individual contributor in FA ProductionEng APJ. This role will help build and operate internal platforms that improve how we provision, observe, govern, and troubleshoot engineering infrastructure at scale. The fleet management use cases that give teams a single place to understand and operate the test infrastructure. If you enjoy building internal platforms that remove friction, improve visibility, and make engineering teams faster and more effective, this role is for you. Why This Role Is Unique This is not a typical application development role.You will work on internal platforms that directly shape how engineering teams consume and manage shared infrastructure. The role spans platform engineering, workflow automation, observability, API-driven services, and infrastructure lifecycle management. The right candidate will work on systems such as: Self-serviceability workflows and lease-based testbed governance. Developer Platform dashboards and APIs used for triage, visibility, and product trend observation. Testbed and workflow orchestration across fleet management domains. Impact This role is a high-leverage engineering investment. The work will improve how engineering teams provision testbeds, understand failures, operate shared infrastructure, and move faster with less friction. Better

awskuberneteslinux
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S
18 days ago

SmartBear delivers application integrity for modern tech stacks, ensuring continuous, measurable assurance that software just works as intended with governance to operate at AI speed and scale. SmartBear offers deep test automation, API lifecycle management, and observability capabilities. With integrations across the SDLC, it sets a new quality standard for application delivery teams. SmartBear is trusted by developers, testers, and software engineers across 32,000 organizations, including 75% of the largest financial institutions and industry leaders such as Adobe, JetBlue, and Microsoft. SmartBear’s open source tools are downloaded more than 100 million times a month and have earned over 30,000 GitHub stars from the developer community. With its best-loved brands, including Swagger, TestComplete, Reflect, QMetry, Zephyr, and more, SmartBear meets customers where they are to make our technology-driven world a better place. Learn more at www.smartbear.com , or follow us on LinkedIn , X , and Reddit . At SmartBear, you will be part of a dynamic team solving one of the most critical challenges facing modern businesses: ensuring the integrity of software in an AI-driven world. Whether you are working directly with customers, driving go to market strategies, supporting operations, building products, or enabling teams, your contributions help shape the future of software quality for organizations worldwide. Join us in our mission. Principal Software Engineer - Java Zephyr Enterprise Lead and implement complex change, challenging business problems and build highly scalable applications Provide technical leadership guidance across the team and broader engineering organization. Serve as the primary subject matter expert, driving technical excellence and informed decision-making. Product intro Zephyr Enterprise is undergoing a transformation to better align our products to the end users’ requirements while maintaining our market leading position and stron

javasqlpostgresql
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The Product Manufacturing Engineer will lead industrialization activities of new golf ball designs, partnering with our manufacturing sites in Taiwan, South Korea, and other Asia-Pacific countries from prototype to commercialization. This role troubleshoots production issues, drives cost/quality/speed/yield improvements, and reports test data and summarized results to management and key stakeholders. Essential Functions and Key Responsibilities: Maintain regular communication (e-mail, video conference, etc.) with global vendors to align specs, timelines, and project direction. Coordinate tooling, prototypes, and first article builds through evaluation and testing. Support manufacturing execution to ensure products meet performance, conformance, quality, and cost targets through statistical process control data and charts. Own manufacturing readiness timelines for new product launches, driving tooling, first-article, and qualification milestones to meet product launch dates. Generate test data reports and summaries for Engineering Management supporting supplier and R&D development activities. Work cross-functionally to develop, manage, and distribute accurate and controlled documents / specifications for new product designs and manufacturing processes. Process Engineering Changes and documentation updates through controlled channels. Evaluate and contribute to the design of test equipment, set-up/test procedures, and QC/QA inspection processes. Support Continuous Improvement efforts across production processes, qualifications, test methods, and test equipment. Drive supply chain Continuous Improvement projects designed to reduce cost and defective rates. Ensure component measurement

Excelsupply chain
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