Production Dx Engineer Jobs

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 . As a Staff IT Technical Program Manager on the IT Operations team, you'll own and drive eDiscovery and information governance programs across Coinbase. Embedded with cross-functional leadership, you'll serve as the connective tissue between domain experts and engineering teams, identifying automation opportunities, prototyping solutions with AI and workflow tooling, and driving adoption across the organization. You'll lead the technical strategy behind defensible eDiscovery processes and entity-specific retention capabilities, ensuring Coinbase meets its regulatory obligations at scale. What you’ll do: Own the end-to-end strategy and execution for eDiscovery and information governance solutions spanning multiple business functions and enterprise platforms. Partner with engineering teams to deliver technology programs that transform eDiscovery capabilities from hold through collection, review, and production (EDRM). Drive the translation of regulatory and compliance requirements into actionable system configurations, policies, and controls across platforms such as Slack and Google Workspace. Lead program timelines, dependencies, and risk escalations while maintaining audit-ready documentation including regulatory control matrices, playbooks, and SLAs. Build and validate comprehensive test plans for eDiscovery controls and information governance tooling to ensure defen

About the Team The Integrated Marketing team sits at the center of product, brand, creative, media, research, and GTM work. We partner closely with PMM, Product, Developer Relations, Design, Comms, and agency teams to shape launches and campaigns that are clear, distinctive, and grounded in real audience insight. This is a growing function, so the team needs people who can both raise the quality of the work and build the operating model around it: bringing strong judgment, high agency, and trusted partnership to complex, visible moments. About the Role Developers and founders are building some of the most interesting things happening in AI. They’re starting companies, creating new products, and changing how people work. We’re looking for an integrated marketing manager who understands this audience and can shape how OpenAI shows up for developers, founders, startups, and engineering teams. That includes supporting campaigns around new products, creating meaningful developer experiences, and finding compelling ways to highlight the people and companies building with our technology. You’ll partner across Product, Product Marketing, Developer Relations, Research, Brand, and Creative, along with external agencies and partners, to develop strategies and bring strong ideas to market. The right person understands technology, has good creative judgment, and knows how to turn audience insight into work that feels useful, credible, and worth paying attention to. This is a hybrid role based in San Francisco, with three days a week in the office. In this role, you will: Support marketing strategies for developers, founders, startups, and engineering teams building with OpenAI, based on how technical audiences discover tools, evaluate them, and decide what to use. Partner with creative, media, and production agencies to develop briefs, evaluate concepts, improve the work, and bring campaigns to market. Establish agency relationships, campaign budgets, media planning, and paid me

ROLE: SOFTWARE ENGINEER TEAM: MEDIA LOCATION: TORONTO (HYBRID) COMPANY OVERVIEW Salt is a North American marketing agency that creates connected experiences through creative, digital & media innovation. Our mission is to “Earn The World’s Attention” and Salt is built to find, develop, execute, and amplify the ideas that are worthy of our clients’ audiences. We’ve structured our agency to do what’s right for our clients – to connect different perspectives, to work across mediums, and to focus on delivering meaningful, effective results. We’re committed to living up to the values in our name. “Salt of The Earth” means we value collaborative, humble, hard-working people here. We’re looking for people who are as smart as they are kind because we believe the right talent and the right culture help us do what’s right for our clients. ROLE OVERVIEW Join us as a Software Engineer building the next generation of AI products. This hands-on engineering role combines Platform Engineering, Security, and Software Development to create the cloud platform that powers our applications at scale. You'll spend approximately 50% of your time building secure, automated, and reliable infrastructure, and the other 50% developing innovative product features - working with the latest cloud, AI, and developer technologies to deliver solutions used across the organization. You will build, secure, and operate modern cloud-based applications and AI platforms, developing new product features while helping ensure our infrastructure is secure, scalable, and reliable. Working closely with product and engineering, you will develop new product features while managing cloud infrastructure, CI/CD pipelines, application security, and production operations across our AI platforms. CORE RESPONSIBILITIES Infrastructure & Data Platform Engineering Maintain efficient cloud Infrastructure, and development environments. Develop i

About the role Chime's Growth Engineering team builds the member-facing experiences that move our business metrics, and we're scaling fast. We're looking for a full stack engineer who wants to own features end to end: the React and TypeScript interfaces members actually touch, the Rails services and APIs behind them, and the experiments that prove the work paid off. You'll influence architecture, ship across the stack, and maintain the ongoing health of the code. In this role, you can expect to Design, develop, test, refactor and scale consumer product features end to end — from member-facing React/TypeScript interfaces through the services and APIs that power them Build strong, resilient APIs and partner with mobile engineers on the contracts behind our React Native app Rapidly prototype and launch A/B tests, then use the results to decide what ships, what iterates, and what gets killed Own the quality of what you ship end to end — page performance, funnel conversion, accessibility, and the instrumentation that tells you it's working Collaborate with product, design, data science, and marketing to understand member pain points and come up with solutions Proactively identify opportunities for improving the reliability and scalability of our systems Work across the engineering team to improve and uphold high technical standards To thrive in this role, you have 5+ years developing software in a production environment at scale Proven experience with a modern front-end framework (React or comparable) and a server-side framework (Ruby on Rails or comparable) Comfort with TypeScript and component-driven UI development Experience working with transactional databases and caching, and with client-side state and performance Experience running experiments — A/B tests, feature flags Exposure to architectural patterns of large, high-scale web applications Growth or consumer experience as an added plus #LI-Onsite #LI-AC2 Below is the base salary offered for this role and le

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is building its own servers, racks, and accelerator systems with contract manufacturers and ODM partners, and deploying them across our fleet of data centers. We are seeking experienced engineers to own how well that hardware gets built. As a Product Engineer on the Manufacturing Operations team, you are the technical owner of a product at the factory. During development, you gather manufacturing, test, and yield concerns, get them fixed in the design before each build, and sign off that the product is ready to move to the next stage. Once a product is in mass production, you keep it healthy by delivering engineering changes with minimal disruption, qualifying new components and second-source manufacturers, and root-causing yield and field failures. This is a hands-on role with up to 50% travel to partner factories in the US and abroad. You should be as comfortable debugging a test failure on the line as you are presenting a corrective action plan to leadership. Representative projects Take a new accelerator rack from early evaluation to mass production at an ODM: audit the assembly and test process, set yield targets, confirm test coverage, and approve the transition. Scale manufacturing from one line to multiple and then to a second site or second manufacturer without yield or throughput regressions. Run a cross-functional root cause on field failures traced to a manufacturing gap, drive corrective action with the ODM/CM, and close the loop with the design itself when required. Lead an engineering change across manufacturers: BOM and PLM updates, cut-in planning, partner training, validation, and monitor fie

About Us Sauce Labs is the world’s largest full-lifecycle, test automation platform, and the company behind Selenium. Trusted by 80% of the world’s top ten largest financial institutions and over 300,000 enterprise users, Sauce Labs provides the only AI platform capable of turning business intent into autonomous testing and quality assurance. With a proprietary dataset of 8.7 billion test runs, Sauce Labs empowers the Fortune 2000 to bridge the gap between AI-driven code generation and enterprise-grade software quality. Learn more at http://saucelabs.com . Release Assurance at the Speed of AI | Meet the new Sauce Labs The Role Sauce Labs is seeking a customer-focused Senior Sales Engineer / Professional Services Consultant specializing in Playwright and modern application testing. This individual will combine technical pre-sales expertise with hands-on consulting and implementation skills, helping customers evaluate, adopt, and expand automated testing solutions across web and API environments. The ideal candidate is equally comfortable presenting to technical and business stakeholders, developing production-quality test automation, troubleshooting complex customer environments, and translating testing data into actionable insights. This role will serve as a trusted advisor to customers throughout the sales and adoption lifecycle—from technical discovery and proof of concept through implementation, optimization, and enablement. Key Responsibilities Sales Engineering/Consultant Lead technical discovery sessions to understand customers’ application architectures, testing practices, delivery pipelines, security requirements, and business objectives. Design and deliver compelling product demonstrations centered on Playwright and modern test automation workflows. Build and manage technical proofs of concept that demonstrate measurable customer value. Translate customer requirements into scalable solution architectures using Sauce Labs capabilities and relevant thir

Analytics Manager, Commercialization Atari, Inc. Remote About Us Atari has been a bright spot in the struggling games industry: quietly but quickly growing year-over-year. The Commercial team has played a critical part in making that possible. We are looking for someone to lead analysis on a large, complex, quickly growing dataset and help us make better commercial decisions every day. This is a deliberately unusual analytics job. Over the past year we’ve built an internal AI system called the “Commercial Brain” that scopes, runs, and self-checks commercial analyses. It is very powerful but also often makes mistakes in ways that are easy to miss and expensive to ship. Operating the Commercial Brain, catching its mistakes, and improving it is the central function of this role. This is a high-autonomy role for someone who is energized by ambiguous problems, rigorous by instinct, and excited about using AI to do more with less. Atari, and especially the Commercial team, runs much closer to a startup than to a big company. You’ll get real ownership, fast decisions, and thin process; if you need mature structure around you to do your best work, this role will frustrate you. In this role, you’ll spend most of your time deep in analysis; not building data pipelines, dashboards, or production systems. Your output is judgment, insight, and commercial recommendations that directly shape revenue. You’ll sit at the intersection of AI, data analysis, commercial strategy, and financial modeling. You’ll work closely with our Business Operations Manager and report directly to our Director of Commercial. What you’ll do Operate the Commercial Brain Scope analyses with the Commercial Brain, interrogate its reasoning, and find its errors and unstated assumptions before they reach a decision. Act as the second reviewer of record on analyses that today have only one. Verification is a primary deliverable of this role. Own the empirical loop: every significant decision record

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. About the role As an Applied Research Engineer in our Video team, you will help build the next generation of production-grade foundation models for human-centric video generation. You will join a highly focused team working at the intersection of large-scale generative modeling, distributed systems, and production engineering. Our mission is to develop and optimize video base models that power realistic, controllable, and emotionally expressive synthetic humans at scale. This is not pure research. This is applied research with direct product impact. You will work on advancing training recipes, scaling distributed systems, improving evaluation frameworks, and optimizing inference to ensure our models are high quality, stable, and efficient enough for real-world deployment. Your work will directly influence models used by tens of thousands of businesses worldwide. What you’ll do You will own and execute end-to-end research and engineering projects, from hypothesis to production impact. This includes: Developing and scaling latent video diffusion models tailored for human-centric video generation Designing conditioning mechanisms to improve control (pose, emotion, script, camera) without sacrificing fidelity Advanc

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 Join the Portworx team to build and deliver our highest-quality product suite. In this role, you will write clean, scalable code with a strong focus on quality, reliability, and user-centric design. You will directly contribute to building a new SaaS platform that delivers a secure, consistent, and best-in-class experience for customers purchasing and managing Portworx offerings. As a core developer, you will take ownership of designing and implementing critical features across the entire Portworx portfolio. WHAT YOU’LL DO Design & Scale SaaS Microservices: Develop, test, and integrate high-performance microservices and features into the Portworx product suite, ensuring high availability in distributed systems. Drive End-to-End Delivery: Lead software lifecycle activities including architectural design, code reviews, unit/functional testing, documentation, and continuous integration and deployment (CI/CD). Partner Across Teams: Collaborate with product managers, cross-functional engineering peers, and early-adopter customers to transform requirements into production-ready software. Own Product Quality & Iteration: Take full ownership of feature stability by proactively incorporating customer feedback and rapidly resolving issues identified during testing and deployment. Innovate & Experiment: Research emerging technologies and cloud infrastructure tools to push performance boundaries and continuously i

CSQ427R35 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks t

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! About North: North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. Why This Role? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-thei

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are seeking a Staff DB SRE to build the runtime foundation for NVIDIA’s enterprise AI platforms — with a strong emphasis on database infrastructure at scale. This role blends large-scale database transformation with the building and development of GPU-accelerated platforms. You'll develop the software systems, automation frameworks, and high-performance database services that power NVIDIA’s AI workloads at scale. What you'll be doing: Design and operate highly available database clusters (MySQL, MSSQL, Oracle) with automated replication, failover, point-in-time recovery, and disaster-recovery strategies at enterprise scale. Drive database performance engineering — own query optimization, indexing strategies, connection pooling, lock-contention analysis, and storage-engine tuning for production systems handling millions of transactions. Build self-service database lifecycle automation — from one-click cluster provisioning and schema migrations to zero-downtime upgrades, blue-green deployments, and automated capacity scaling. Bridge relational and AI-native data infrastructure — extend traditional database exper

We are looking for a Solutions Architect to help customers and partners in South East Asia embrace NVIDIA technologies to build, deploy, and scale vision AI and video AI solutions. This is a highly technical role that requires deep expertise in VLM AI models and software engineering practices. We need a passionate, hard-working, expert and creative individual to help us pursue the many opportunities in this region. A Solution Architect is the first line of technical expertise between NVIDIA and our customers, as well as our partners. Your duties will vary from solutions design, training/workshops, troubleshooting, project coordination, industry and marketing speaking engagements, customer relationship management and more. What you'll be doing: Drive the adoption of NVIDIA's vision AI and video AI capabilities. Provide hands-on technical leadership to put VLM (Visual Language Models) and WFM (World Foundation Models) into applications for computer vision, document processing, and video analytics. Support solution development and technical validation around NVIDIA vision AI and video AI technologies Work with field, product, and engineering teams to translate customer requirements into deployable architectures, technical feedback, and roadmap input. Deliver demos, workshops, technical reviews, and partner enablement sessions that accelerate adoption of NVIDIA AI technologies. What we need to see: BS, MS, or PhD in Computer Science, Electrical Engineering, Computer Engineering, Physics, Mathematics, Machine Learning, or a related field, or equivalent experience. 5+ years of proven experience in computer vision, vision AI, video AI, or world foundation models. Hands-on experience in building and scaling production VLM and multi-modal AI systems. Strong Python ski

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an outstanding legacy of innovation that’s fueled by phenomenal technology – and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are seeking a Senior Site Reliability Engineer – Storage, you will own the reliability, performance, and scalability of our global NAS, SAN, and Object Storage platforms that power critical internal and external services. You will combine deep storage expertise with strong automation and SRE practices to design, build, and operate highly available storage systems at scale. What You Will Be Doing: Lead design, deployment, and operations of production NAS, SAN, and Object Storage platforms, ensuring reliability, performance, and security. Capture requirements from partner teams, architect storage solutions, and drive end‑to‑end implementation for new and existing services. Develop, maintain, and improve automation for provisioning, configuration, monitoring, incident response, and lifecycle management of storage infrastructure. Participate in on‑call and incident response, lead troubleshooting of complex storage and performance issues, and drive root cause analysis and preventive actions. Define and track SLOs/SLIs and error budgets for storage services, using observability and analytics to continuously improve reliability and efficiency. Build and maintain runbooks, standard operating procedures, and comprehensive documentation for storage services and automation.<

Our Purpose Mastercard powers economies and empowers people in 200&#43; countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Principal Software Engineer Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview We are seeking a hands-on Principal Forward Deployed Engineer to accelerate delivery across Mastercard Services. Modeled on the forward deployed engineering role that leading technology companies embed alongside their most important customers, this position turns that model inward. You will deploy into Services programs as an internal partner who writes production code, unblocks delivery, and puts AI to work in how we build. Reporting to the SVP of Developer Enablement within the Services Enablement & Transformation (SET) organization, you will move to wherever the need is greatest, adding s