Test Automation Handler Engineer Jobs

About THG Ingenuity THG Ingenuity is a fully integrated digital commerce ecosystem, designed to power brands without limits. Our global end-to-end tech platform is comprised of three products: THG Commerce, THG Studios, THG Fulfilment. Each represents a single, unified solution, overcoming challenges and taking brands direct-to-consumer. Our client portfolio includes globally recognised brands such as Coca-Cola, Nestle, Elemis, Homebase, and Proctor & Gamble. What’s the role? Job Title: CX Apprentice - Onboarding Reports to: Customer Success Director Apprenticeship: Business Administrator Level 3 Duration: 12-18 months, subject to learner progress + End Point Assessment Role Purpose To support the end-to-end onboarding of new clients into the Customer Experience function, coordinating project plans, channel set-up, testing and stakeholder communication so every client goes live smoothly and on time. Key Responsibilities Maintain onboarding project plans and trackers for assigned clients, minute onboarding calls, and produce regular status summaries for internal and client audiences. Support configuration of customer service channels (email, live chat, phone, social and marketplace), including auto-responses, macros, routing rules, SLAs and holiday calendars. Assist with knowledge base/FAQ setup and configure user accounts, roles and permissions. Draft and run UAT test scripts, log and track defects to resolution, and coordinate sign-off with clients. Act as a day-to-day point of contact for onboarding clients, handling first-line escalations and supporting a complete handover to BAU/account management. Coordinate across internal teams (CS Operations, Client Services, Tech, Fulfilment) to keep onboarding on track, raising and chasing internal tickets. Brief the operations team ahead of go-live on volumes, staffing and edge cases, and flag resourcing or capacity risks early. What We Need From You A friendly, organis

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. As a Product Engineer in DRAM Technology Node Development, the role is responsible for bringing up new technology from design start through qualification and production ramp while co-optimizing product and process. Primary Responsibilities Enable new process node startup, qualification, yield and ramp. Provide direction to development teams using process integration knowledge. Develop technology health metrics and drive learning. Work with Design, TD, DFT, Manufacturing and Quality teams. Perform electrical failure analysis and yield improvement activities. Identify design marginalities and recommend fixes. Perform deep statistical analysis to improve product yield. Process–Device Integration & Failure Mechanism Diagnosis Collaborate with Process Integration, TD, Design, Test, and Reliability teams to identify yield‑limiting mechanisms and propose corrective actions. Conduct electrical failure analysis (bench + probe) to isolate circuit, array, or process‑originated signatures. Interpret data from proprietary internal tools (e.g., FRPT/efrpt, csensei, Node Dev analysis workflows). Test Program & Probe Flow Development Guide probe program correctness by correlating design intent, simulation data, and production test behavior. Ide

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. With over half a billion rides and counting, Lyft is solving hard problems in a flourishing domain with a lot of data and creative solutions in Marketplace, Mapping, Fraud, Growth and beyond. We're actively building the next-generation Machine Learning (ML) platform for low-cost, ultra-immersive transportation to improve people’s lives using modern ML with peta-byte scale data. Our Machine Learning Engineers are excited to work on these challenging problems and redefine solutions to directly impact various aspects of Lyft's primary business. If you are a student with experience in machine learning workflows, passionate about solving challenging problems using data and working in a dynamic, creative, and collaborative environment, this opportunity is for you! Responsibilities: Contribute to the design, build, train and test of Machine Learning models Write production-level code to convert ML models into working pipelines Partner with Product Managers, Data Scientists, and fellow ML Engineers to frame Machine Learning problems within the business context Analyze experimental and observational data, communicate findings to support decisions Participate in code and spec reviews to ensure code quality and distribute knowledge Experience: Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science or a related technical field from a university in Canada (required) , with a graduation date between December 2027 and Summer 2028 (required). For any candidates who are master's students who worked between their bachelor's and master's programs: candidates should also have less than 2 years of relevant full-time work experience Available during Summer 2027 for the internship in Toronto Good understanding and knowledge of ML libraries like scikit-learn, Tensorflow, PyTorch, Keras, MXNet, et

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

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Software Engineer - Cloud Streaming Game Services (Contractor) Aliso Viejo, CA As a part of Sony Interactive Entertainment, the Game Development & Future Technology (GDFT) organization is leading the cloud gaming and development revolution, putting console-quality video games on any device! As a Senior Software Engineer on the Cloud Streaming Game Services (CSGS) team, you’ll play a key role in the design and development of server-side applications on a large geographically distributed infrastructure. Responsibilities Design, develop, and maintain software powering the globally distributed PlayStation Cloud Streaming infrastructure Build Kubernetes controllers, operators, and system services powering infrastructure lifecycle management and orchestration Own features from design through implementation, testing, deployment, and production support Develop high-quality, maintainable code with comprehensive unit and integration testing Partner with SRE, Test and Platform Engineering to deliver reliable production services Investigate and resolve production issues with a focus on reliability and performance Contribute to architecture discussions, technical design documents, and engineering standards Effectively communicate technical approaches, project status

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . We are seeking a Software Engineer to help us build the next version of media web experience. In this role, you will define the work on the technical components of how we deliver video and audio content at Reddit. Specifically, you will focus on our web media player and the APIs that power it, drawing on industry patterns from top streaming platforms to build seamless, low-latency playback experiences and interactive tools for creators and users alike. Key Responsibilities Work cross-functionally with product, design, and other engineering counterparts to execute on product and business strategy and build novel products and features that our users will love. Contribute to the full development cycle: technical design, development, test, experimentation, analysis, and launch. Design and implement end-to-end fullstack solutions, optimizing web UI components for our media player (React, TypeScript) and the backend APIs (Go, Python) that power them. Move fast while balancing quality. We can’t afford extensive processes, and we also can’t afford show-stopping bugs. You’ll be reviewing code and design docs, giving feedback on product specs and mocks. Collaborate with client engineers and platform engineers to improve performance of media across Reddit to serve better content globally. Contribute to standards that improve developer workflows, recommend best practices, and help mentor junior engineers on the team to grow their technical expertise. Qualifications BS degree in Computer Science, a similar technical field of study o

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. With over half a billion rides and counting, Lyft is solving hard problems in a flourishing domain with a lot of data and creative solutions in Marketplace, Mapping, Fraud, Growth and beyond. We're actively building the next-generation Machine Learning (ML) platform for low-cost, ultra-immersive transportation to improve people’s lives using modern ML with peta-byte scale data. Our Machine Learning Engineers are excited to work on these challenging problems and redefine solutions to directly impact various aspects of Lyft's primary business. If you are a student with experience in machine learning workflows, passionate about solving challenging problems using data and working in a dynamic, creative, and collaborative environment, this opportunity is for you! Responsibilities: Contribute to the design, build, train and test of Machine Learning models Write production-level code to convert ML models into working pipelines Partner with Product Managers, Data Scientists, and fellow ML Engineers to frame Machine Learning problems within the business context Analyze experimental and observational data, communicate findings to support decisions Participate in code and spec reviews to ensure code quality and distribute knowledge Experience: Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science or a related technical field from a university in Canada (required) , with a graduation date between December 2027 and Summer 2028 (required). For any candidates who are master's students who worked between their bachelor's and master's programs: candidates should also have less than 2 years of relevant full-time work experience Available during Summer 2027 for the internship in Toronto Good understanding and knowledge of ML libraries like scikit-learn, Tensorflow, PyTorch, Keras, MXNet, et

About the Team OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team builds next-generation AI-native silicon and systems while working closely with software, research, and manufacturing partners to co-design hardware tightly integrated with AI models. In addition to delivering systems for OpenAI’s supercomputing infrastructure, the team develops the tools, methodologies, and strategic partnerships needed to accelerate hardware innovation. About the Role We’re seeking an experienced Hardware Strategic Sourcing Manager to own sourcing strategy and supplier partnerships for fiber and optical interconnect components across OpenAI’s next-generation AI infrastructure. Reporting to the Head of Partnerships & Strategic Sourcing, you will lead sourcing across fiber cable assemblies, internal optical harnesses, fiber shuffles, optical backplane assemblies, connectorized and standalone passive optical assemblies, fiber-array units (FAUs), fiber-to-chip and coupling interfaces, detachable connectors, optical routing, and assigned optical packaging, assembly, and test services. You will work closely with electrical engineering, optical engineering, systems engineering, mechanical and packaging engineering, quality, rack integration, data-center deployment,manufacturing, supply chain, finance, legal, and program management teams to translate demanding bandwidth, signal integrity, reliability, and scale requirements into resilient supplier partnerships and scalable commercial strategies. Your work will directly support the performance, reliability, manufacturability, and scale of the high-speed optical connectivity required for OpenAI’s next-generation AI systems. In this role, you will: Develop and execute a comprehensive sourcing strategy for fiber and optical interconnect components supporting high-bandwidth AI systems and infrastructure. Own sourcing across optical fiber cable assembli

We are seeking a Senior Engineer to join MongoDB's growing Fintech Team. This highly visible role is critical to supporting the company's continued rapid growth and will focus primarily on the administration and analysis of our Global Sales Incentive Plans. The ideal candidate is detail-oriented, with strong organizational and time-management skills. Excellent verbal and written communication, along with a collaborative mindset, are essential for working effectively across cross-functional teams and with various levels of management. Please note this role will require weekend availability during quarter-end close and annual plan implementation periods. MongoDB engineering teams take pride in building high-quality software while living our cultural values every day. We value intellectual curiosity and honesty, and we foster an environment that prioritizes collaboration over competition. We are looking to speak with candidates based in Gurugram or Bangalore for our hybrid working model. Responsibilities: Act as an organizational subject matter expert for commissions processing, the Xactly product suite, and individual commission plan components as they operate in the solution Gathering and documenting detailed business requirements Responsible for designing, configuring and managing Xactly platform Writing rules, analyzing results, troubleshooting, and improving processes as needed Create plans and assist in test case creation & testing Collaborate with Sales Operations and Finance teams in user acceptance testing for changes to Xactly system as well as facilitate seamless implementations of new functionality through targeted communications, demos, and the user training Design, develop, test, document, and deploy high-quality technical solutions on the Xactly platform based on industry best practices to solve business needs Trace unexpected results back to their source and diagnose underlying issues. If unable to resolve directly, own coordination and resolution w

TITLE : Localization Specialist - German LOCATION: Madrid DEPT: Global Localization COMPANY: 2K (Take-Two Interactive) TYPE: Full-Time, Executive Level What We Need As part of 2K’s evolving Global Loc 2.0 strategy , we are expanding our in-house localization team to elevate linguistic quality and cultural authenticity across our game portfolio. We are seeking a Linguistic Specialist, German to support the translation, editing, and validation of localized content in German, while gaining hands-on experience with localization tools, pipelines, and cross-functional collaboration. This is an entry-level, individual contributor role designed to support early-career linguists and translators looking to grow in the game localization industry. You’ll work under the guidance of senior language leads and localization producers to help ensure accurate and player-relevant content in a structured and supportive environment. WHAT YOU’LL DO Translate or edit in-game text, UI strings, and basic marketing content from English into natural, culturally appropriate German Follow established style guides, glossaries, and tone-of-voice documentation to maintain consistency Collaborate with senior linguists and QA to review linguistic bugs, provide clarifications, and contribute to resolutions Assist in terminology verification and contribute to updates of language resources under guidance Participate in localization test passes for your language and help flag basic lan

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The team brings Link’s brand and product stories to life through compelling, platform-native organic social content. Working closely with Brand, Creative, and agency partners, we turn strong ideas into high-quality storytelling that informs and engages audiences. The team also tests new creative approaches, uses performance and community insights to refine what works, and shares learnings across the organization. What you’ll do Brand extension into organic social Steward Link’s brand promise, brand voice and tone and creative standards for the organic social channels (in particular, Instagram, TikTok, and X); you're the internal authority on what on-brand looks like within the organic channel working in close partnership with our head of brand internally Translate Link’s broader brand positioning into social-specific strategies and briefing frameworks the agency can work from with clear guardrails Evaluate and pressure-test agency-originated ideas for brand integrity before they get produced; catch what's off and redirect with specificity. Partner with our Head of Brand to ensure social is a genuine expression of brand health, a testing ground, and a helpful input to shape the evolution of our brand over time based on learnings. Platform Strategy & Channel Direction Evolve platform-specific strategies with clear rationale: which channels we're on, what role each plays, what "winning" looks and feels like on each Bring platfor

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

MongoDB powers mission‑critical workloads for customers who expect their data to be durable, highly available, and fast to access. The Storage Execution team builds the core infrastructure that makes those guarantees real. We are hiring a Senior Engineering Manager to manage the largely New York-based Storage Execution team. This is a hands-on leadership role for someone who is obsessed with customer success, takes the responsibility of durably storing customer data seriously, and has strong empathy for both their team and our users. This role can be based remotely in Ontario, Canada. About the Storage Execution team The Storage Execution team sits at the heart of MongoDB’s Online Transaction Processing (OLTP) team. We own the core transactional read/write path on each node, across both today’s storage engine and a next‑generation cloud-native storage architecture. Our work determines how correct and performant MongoDB is for customers running mission-critical production workloads. The team’s responsibilities include: Defining and maintaining the internal collection and index APIs used by Replication, Query and Catalog modules, and commands for local reads and writes, plus the transaction and durability primitives that govern visibility, conflict resolution and crash recovery Integrating the next generation of MongoDB’s storage architecture into the server in a way that is predictable for other teams, scales with cloud elasticity, and preserves the performance and safety of the classic configuration Improving transaction processing speed and semantics of both single shard and cross-shard transactions Owning index builds and schema‑level storage operations (build/rebuild, cleanup, resumability) and ensuring they behave well for large, highly available clusters running write-heavy workloads Building validation, diagnostics, and storage‑focused test infrastructure to catch durability issues early and keep the system trustworthy at scale Partnering with neighboring team

MongoDB powers mission‑critical workloads for customers who expect their data to be durable, highly available, and fast to access. The Storage Execution team builds the core infrastructure that makes those guarantees real. We are hiring a Senior Engineering Manager to manage the largely New York-based Storage Execution team. This is a hands-on leadership role for someone who is obsessed with customer success, takes the responsibility of durably storing customer data seriously, and has strong empathy for both their team and our users. This role can be based remotely in the United States. About the Storage Execution team The Storage Execution team sits at the heart of MongoDB’s Online Transaction Processing (OLTP) team. We own the core transactional read/write path on each node, across both today’s storage engine and a next‑generation cloud-native storage architecture. Our work determines how correct and performant MongoDB is for customers running mission-critical production workloads. The team’s responsibilities include: Defining and maintaining the internal collection and index APIs used by Replication, Query and Catalog modules, and commands for local reads and writes, plus the transaction and durability primitives that govern visibility, conflict resolution and crash recovery Integrating the next generation of MongoDB’s storage architecture into the server in a way that is predictable for other teams, scales with cloud elasticity, and preserves the performance and safety of the classic configuration Improving transaction processing speed and semantics of both single shard and cross-shard transactions Owning index builds and schema‑level storage operations (build/rebuild, cleanup, resumability) and ensuring they behave well for large, highly available clusters running write-heavy workloads Building validation, diagnostics, and storage‑focused test infrastructure to catch durability issues early and keep the system trustworthy at scale Partnering with neighboring te

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Coinbase’s Developer Infrastructure group builds the systems every Coinbase engineer relies on to write, validate, ship, and run code. We own the path from commit to production, including CI and build infrastructure, deployment platforms, and test systems that give engineers fast, trustworthy feedback. We’re hiring Senior Software Engineers across several teams in the group, and you’ll be matched to the team that best fits your strengths and interests. Wherever you land, you’ll build and operate foundational platform services used across Coinbase engineering, where improvements in build speed, deploy safety, and test reliability scale across thousands of engineers. This is high-leverage systems work with a high bar for reliability and security. What you’ll do Design, build, and operate core developer infrastructure services across CI, build systems, deployment orchestration, and test infrastructure. Improve key engineering productivity metrics, including build and CI time, deploy speed and safety, and test feedback quality. Own services end to end, including architecture, observability, SLOs, and on-call operations. Partner with engineering teams across Coinbase to understand pain points and turn them into platform improvements. Lead technical design for cross-cutting projects and drive them through production. Mentor engineers and help shape the technical direction