Production Automation Developer Jobs

About the Team ChatGPT relies on a large and growing GPU fleet to serve inference workloads reliably and efficiently. Our team builds the software, tooling, and operational systems that help manage this fleet at scale. We work across production engineering, distributed systems, capacity management, and operational automation to improve reliability, reduce manual work, and make better use of available compute. About the Role We are looking for a software engineer with experience building or operating large-scale production systems. You will develop the systems that help manage the GPU fleet powering ChatGPT, including tooling for fleet health, capacity planning, operational automation, and incident response. You will work closely with infrastructure, research, and product engineering teams to improve reliability, developer productivity, and compute utilization. This role is a good fit for engineers who enjoy solving complex operational problems and building software that makes production infrastructure easier to run at scale. In This Role, You Will Build software and internal tools to manage large-scale GPU infrastructure supporting ChatGPT inference. Develop systems for capacity planning, fleet health monitoring, and resource utilization. Automate operational workflows, including incident detection, diagnosis, and response. Identify and address bottlenecks affecting fleet reliability, scalability, and performance. Partner with infrastructure, research, and product engineering teams to improve the compute platform. You Might Thrive in This Role If You Have experience operating large-scale production infrastructure, GPU clusters, or other compute-intensive distributed systems. Have a background in production engineering, site reliability engineering, infrastructure engineering, or platform engineering. Have built software that automates operational workflows and reduces manual work. Have worked with distributed infrastructure, cluster orchestration, or large-scale int

About the Role: We're looking for a Senior QA Engineer to drive quality across multiple concurrent projects, partnering closely with product and engineering to catch risks before they reach production. This role blends hands-on manual and automated testing with process ownership and mentorship of others. Specific responsibilities: Review and validate requirements and technical specifications; partner early with product managers and developers to define acceptance criteria and ensure testability Design and execute test cases covering functional, integration, regression, API, and end-to-end testing across web and mobile (Android/iOS) applications Write manual and automated tests; work with the Test Automation team to build and maintain automated test suites Log, track, and perform root cause analysis on defects through full resolution Document test results and provide observations on product quality and process improvements Establish and monitor QA KPIs; support and enhance test processes and reporting Manage testing efforts across multiple projects under tight deadlines with minimal supervision Mentor and support fellow QA Engineers Leverage AI-powered tools to improve test coverage, accelerate defect analysis, and support overall test efficiency [see note below] What you’ll need: Minimum of 7+ years of quality assurance experience Strong understanding of QA methodologies, defect lifecycle, and SDLC/STLC Experience with Agile software development methodologies Experience writing test cases in BDD/Gherkin syntax Hands-on experience with at least one test management tool (e.g., Jira/Xray, TestRail, Zephyr) Preferred Qualifications 2+ years building automated tests with Playwright and TypeScript Experience integrating automated tests into CI/CD pipelines (e.g., GitHub Actions, Jenkins) Familiarity with AI-assisted testing tools (e.g., AI-generated test cases, code-assist tool

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 Site Reliability Engineers keep GitLab's user-facing services and production systems running reliably at scale. They combine software engineering with operational excellence, applying sound engineering principles, automation, and continuous improvement to build, operate, and evolve our production infrastructure. This is a single application for Site Reliability Engineering opportunities across Infrastructure Platforms. Rather than asking you to choose the right team or level upfront, we evaluate your skills holistically and match you to the opportunity that best aligns with your experience and our hiring

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE As an OS / K8s Systems Engineer at Baseten, you’ll build the automation and systems that turn raw GPU hardware into production-ready compute. From provisioning to orchestration, you’ll own the software layer that makes our infrastructure reproducible, scalable, and reliable across data centers. This is a senior, hands-on role focused on building systems not operating them. You’ll work close to the metal designing OS images, building provisioning pipelines, and automating cluster bring-up from scratch. Your work will define how quickly we can turn new capacity into usable compute. EXAMPLE INITIATIVES Zero-to-cluster automation Build workflows that take new hardware from unprovisioned to fully operational cluster. Provisioning systems Design PXE-based or equivalent systems for imaging and lifecycle management. Reproducible infrastructure — Ensure clusters deploy consistently across data centers. RESPONSIBILITIES Own the end-to-end automation of cluster bring-up and lifecycle management. Build and maintain OS images, provisioning systems, and configuration pipelines. Deploy and operate cluster orchestration platforms (Kubernetes, Slurm, or similar). Design systems for reproducibility across sites and hardware generations. Automate upgrades, rollouts, and failure recovery. Optimize system performance, including GPU utilization and networking. Partner with hardware and network teams to validate and improve system b

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. Our core philosophy is to empower developers to self-serve rather than be bottlenecked by a central quality team. We believe that by creating smart, automated tooling, we can eliminate common roadblocks, making developers happier and more productive. The Rider Quality team is focused on elevating quality, testing, and accessibility across our mobile platforms. We are currently shifting our strategy to heavily leverage automation and AI to revolutionize how we approach testing. We're not doing traditional QA - we're building the future of quality engineering. This is a chance to step into a Senior role where you won't just write code; you'll design systems that define how hundreds of engineers deliver product faster, happier, and with fewer bugs. We are fundamentally shifting away from manual processes and existing automation frameworks that struggle to keep up, betting heavily on Artificial Intelligence and agentic frameworks to drive a massive "shift left" in our organization. Success in this role is measured by tangible impact, including increased developer satisfaction, engineering hours saved, and bugs/incidents avoided in production. We are seeking a highly skilled and innovative Senior Software Engineer to join our team. You will be instrumental in building the next generation of our quality assurance platform. You will be responsible for designing and developing advanced AI-powered tooling for test case generation, review, and execution. Your work will directly impact our ability to provide fast, actionable feedback to developers, "shifting left" to ensure quality from the earliest stages of development. You will play a key role in integrating these tools into our existing developer workflows, ensuring seamless adoption and maximum impact. We are looking for someone with a strong background in

About the Role Lead a team of AI Infra (Systems Engineers) at Together based out of our office in Amsterdam, you and the SRE team are responsible for keeping all user-facing services and production systems running smoothly. You are a blend of a pragmatic operator and a software engineer that applies sound engineering principles, operational discipline, and mature automation to our operating environments and codebase. You specialize in systems (operating systems, storage subsystems, networking), while implementing best practices for availability, reliability and scalability, with varied interests in algorithms and distributed systems. Responsibilities Be on an on-call (PagerDuty) rotation to respond to incidents that impact availability Manage, develop and coach the SRE Team. Build and run our infrastructure with Ansible, Terraform, and Kubernetes to enable scaling to a massive number of concurrent users Build monitoring systems to ensure the highest quality service for our customers Design and implement operational processes (such as deployments and upgrades) Debug production issues across all services and levels of the stack Identify improvements for the product architecture from the reliability, performance and availability perspectives Plan the growth of Together AI’s infrastructure Requirements 7+ years of professional SRE or related experience Ideally 2 years as a Lead SRE Bachelor's degree in Computer Science or a related field or equivalent work experience Expert knowledge of Ansible (roles, playbooks), Terraform, and Kubernetes Proficiency in programming/scripting languages Direct experience in monitoring and observability practices Advanced knowledge of cloud services Ability to thrive in a collaborative environment involving different stakeholders and subject matter experts About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tu

Who We Are Inorsa is an AI-first automation platform revolutionizing how mission-critical infrastructure is built, maintained, and upgraded. We serve wireless telecom, fiber, data centers, and more, delivering an end-to-end automation platform that empowers infrastructure owners. We pride ourselves on our highly technical culture and innovative team, and we're one of the fastest-growing startups in our field. If you thrive on big challenges, love thinking about the big picture, and want to see your impact directly on large enterprise customers, we want to hear from you! Why Now As our customer base and technical stack expand, we’re entering a new phase of platform development. We need a senior engineer who can both lead and build, owning architecture, solving core product challenges, and mentoring the next generation of Inorsa engineers. You'll work on the hardest growth blockers and own meaningful pieces of the product vision. What You’ll Do This is an 80% technical / 20% leadership role. You'll write production-grade code, guide product architecture, and elevate engineering velocity. Core Responsibilities Design and implement scalable systems across our full stack (Python, TypeScript, SQL) Lead feature and architectural planning, and write specs for major components Collaborate cross-functionally with engineers, product managers, and designers Build and maintain integrations with AI/ML models and internal data pipelines Improve performance, reliability, and long-term maintainability of key systems Review code, mentor junior developers, and guide quality standards Communicate progress and risks with engineering leadership Act as a product owner—understand user needs, propose roadmap items, and drive implementation What You Bring Experience 6+ years of professional software engineering experience, including 2+ year

Accelerate modern data platform delivery by building secure, automated, and scalable DevOps solutions. Join Capco to help transform enterprise data and analytics through cloud-native engineering and continuous delivery. The Role We're seeking a DevOps Engineer with strong Azure cloud and DevOps expertise to support the delivery of enterprise data and analytics platforms. In this role, you'll design and maintain CI/CD pipelines, automate infrastructure and application deployments, and help ensure secure, reliable, and efficient delivery across Azure-based data environments. We're open to contracting or full-time for the right candidate. Working alongside architects, developers, and platform engineers, you'll drive automation, improve operational excellence, and enable faster delivery of high-quality solutions for our clients. What You'll Do Design, implement, and maintain Azure DevOps CI/CD pipelines supporting enterprise data and analytics platforms. Automate the deployment of Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Power BI assets across development, test, and production environments. Configure and manage Azure environments, release pipelines, infrastructure, security controls, secrets management, and identity access. Implement infrastructure as code, monitoring, logging, and deployment automation to improve platform reliability and operational efficiency. Collaborate with cross-functional delivery teams to continuously enhance deployment processes, automation, and DevOps best practices. What We're Looking For Proven experience (5+ years) as a DevOps Engineer supporting Azure cloud environments and enterprise data platforms. Strong expertise designing and maintaining Azure DevOps CI/CD pipelines, release management, and environment configuration. Hands-on experience with Infrastructure as Code using Bicep or ARM Templates, along with PowerShell and/or Python scripting. Experience with Git version control, Azure security,

The database market is massive (IDC estimates it to be $121B+ by 2025!) and MongoDB is at the head of its disruption. At MongoDB we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading modern data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity. Building on the rapid success and adoption of MongoDB, we are delivering applications and services that make it much easier to manage and scale database deployments. These next-generation systems are a growing list but currently include products such as Atlas (www.cloud.mongodb.com), Cloud Manager and Compass. MongoDB Atlas is the premier multi-cloud database-as-a-service built and operated by the makers of MongoDB. The Cloud Operations Engineering team at MongoDB is a worldwide team responsible for the consistent operational success of every MongoDB Atlas customer. As a Cloud Operations Engineer, you will help ensure the success of our Atlas customers, whether they are early startups or large multinational companies, cloud-native or just getting started with a digital transformation to the cloud. You are excited about the core mission of MongoDB, and the opportunity to join the team responsible for operating Atlas, the fastest-growing multi-cloud database-as-a-service in the world. Cloud Operations Engineers are responsible for building internal tools and process automation. Day-to-day duties are creating and monitoring systems alert dashboards, reviewing critical event and system logs, accessing customer instances that underpin their production databases, and performing server administration duties including performance troubleshooting. Applicants must be critical thinkers who are quick to detect, resolve, or escalate issues that are sometimes broad in scope and difficult to trace. Day to day you will… Successfully coordinate with a global team of Cloud Operations E

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. Knowledge Systems Manager We're looking for a technically capable Knowledge Systems Manager to build, administer and evolve our knowledge management ecosystem on Zendesk. This is a hands-on role: you'll build tools and apps directly on the platform, work alongside engineers on integrations and UX, and take ownership of authentication and API-level troubleshooting, while also maintaining the knowledge base and the documentation that keeps it useful. You'll work closely with Product, Engineering and Support to make self-service, search and AI-assisted knowledge experiences genuinely work. Key Responsibilities Zendesk Platform Development Design, build and maintain custom applications on Zendesk App Builder (e.g. dashboards, content management tooling, publishing workflows). Own configuration of Zendesk Guide: themes, article templates, content presentation and publishing workflows. Work directly with developers/engineers on Zendesk UX and UI translating requirements into technical specs and reviewing implementation. Support and extend AI and automation features within Zendesk. APIs, Authentication &

Cloud Platform Engineer Team: Platform Prolific Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditised, it's the quality and diversity of human-generated data that truly differentiates products and models. The role Our Cloud Platform team empowers developers to build and deploy their applications swiftly, securely, and seamlessly. As a Senior Cloud Platform Engineer, you'll be deep in Prolific's technical foundation, ensuring our infrastructure remains scalable, reliable, and ready for growth. You'll implement automation strategies that reduce complexity, champion best practices, and serve as a trusted technical expert to teams across Prolific. What you’ll bring to the role Extensive experience administering and optimising large-scale Kubernetes clusters Strong experience with Kubernetes tooling, such as Helm and kustomize Strong experience with GitOps tooling and methodologies, such as ArgoCD Proven experience with Google Cloud Platform services and architecture Strong knowledge in GKE and Kubernetes, including maintenance and optimisation of production clusters Strong experience with Terraform for infrastructure provisioning and automation Solid programming skills in Python and/or TypeScript Experience creating developer-focused documentation and self-service solutions that enable teams to easily self-serve Strong customer empathy, with a focus on supporting the needs of internal teams (our Prolificos) What you’ll be doing in the role Manage and optimise our Kubernetes clusters in GKE through Terraform Support our compliance with SOC2, ISO-27001, and Cyber Essentials standards in our cloud environments Design and implement golden paths and automation strategies that empower developers to self-serve while reducing operational complexity Create and m

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: Are you looking for a career that enables you to bring your technology and operations expertise to influence and develop tools / solutions that will improve an organizations Identity Governance capability? Freddie Mac is seeking a creative hands-on IAM Senior Developer to be a member of the Identity and Access Management (IAM) team within the Enterprise Business Technology Operation (BTO) organization. You will be working to build innovative solutions for improving our operational efficiency through automation, increasing user satisfaction with improved user experiences and helping to modernize our technology stack by leveraging SailPoint,AWS/Cloud native technologies. Our Impact: The Enterprise BTO organization enables business operational excellence through the flexible use of technology. The department provides IT strategic services (software development, enhancements, and production support) to support the needs of the Enterprise groups - External Relations and Corporate Communications, Finance, Human Resources, Internal Audit, Legal, Operational Resilience, and Regulatory Affairs. This role will be focused within IAM and often have intersections with the other above listed business lines. Delivery of IAM solutions to enable self-service capabilities Delivery of integrations between IAM systems and other systems Collaboration with other technology teams to advance our technical capabilities, automate and optimize processes to meet business challenges. Your Impact: Be an active member of multiple high-performing teams. Provide technical leadership, contributions and identify trends, patter

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We are looking for an IT Support / Operations Engineer to join Baseten as we continue to scale our IT team. In this role, you will play a critical part in bringing our technical support entirely in-house to provide a seamless, high-touch experience for all Baseten employees. As we continue to scale, you will be the primary point of contact for day-to-day technical issues, allowing you to have a direct impact on our team's productivity and overall office environment. This position is ideal for a hands-on problem solver who enjoys a mix of hardware and software troubleshooting, user lifecycle management, and maintaining the physical IT infrastructure of a modern office. While you will focus heavily on elevating our internal support standards, you will also assist with systems administration and workflow automation as our company evolves. This is a hybrid role based out of our San Francisco or New York office, following our standard policy of three days per week in-person to ensure our physical office and AV systems remain high-performing and reliable. RESPONSIBILITIES Serve as the escalation point for day-to-day technical support, diagnosing and resolving hardware and software issues across our Mac and Windows fleet Manage user lifecycle administration including provisioning, deprovisioning, and access management across all systems and services Own the IT onboarding experience for new employees — from laptop setup

CAPCO POLAND *We are looking for Poland based candidate. At Capco Poland, we’re not just another consultancy - we’re the spark behind digital transformation in the financial world. As a global leader in technology and management consulting, we thrive on helping clients tackle the toughest challenges across banking, payments, capital markets, wealth, and asset management. Role Overview We are looking for a DevSecOps Engineer to provide support for our client in the insurance sector, helping embed security into cloud infrastructure and delivery processes. You will work across AWS and Azure, combining Infrastructure as Code, automation, CI/CD security, and developer enablement to build secure-by-default, scalable cloud environments. Key Responsibilities Policy-as-Code & Guardrails: Write, test, and deploy automated policy guardrails using Infrastructure as Code (IaC) linting and scanning tools (e.g., Checkov, Tfsec, OPA/Rego) to catch misconfigurations before they reach production. Multi-Cloud Automation: Build and manage highly available infrastructure across AWS and Azure using Infrastructure as Code (Terraform). Security Product Deployment: Automate the baking of EDR agents, vulnerability scanners, and monitoring tools into base machine images (AMIs, Azure Golden Images) and containerized base environments reps. Develop software distribution solution with cloud native tooling (Azure extension, AWS SSM) Developer Enablement: Serve as a bridge between Security and Engineering, providing developer-friendly remediation guidance and creating reusable, secure-by-default code templates (Terraform modules, Helm charts). Required Skills & Qualifications Experience: 3+ years in a cloud operations or infrastructure role managing production environments in both AWS and Azure. Tools: Deep familiarity with Terraform and scripting languages (Python, Bash, or PowerShell). DevSecOps & CI/CD Pipelines: Deep, practical experience constructing and se

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role As a Senior Platform Engineer at HP IQ, you will help build and evolve the infrastructure, tooling, and shared platform capabilities that enable our engineering teams to develop and operate reliable, secure, and scalable services across cloud and edge environments . You will work closely with application, services, AI/ML, and security teams to improve developer velocity, production readiness, reliability, and operational efficiency across a heterogeneous infrastructure footprint. What You Might Do Design, build, and maintain shared infrastructure and platform capabilities across cloud and edge environments. Build automation and self-service tooling that improves engineering velocity and operational consistency. Develop and maintain Infrastructure-as-Code, deployment workflows, and environment provisioning. Partner with engineering teams on production readiness, including reliability, security, observability, scalability, and recovery. Improve monitoring, alerting, incident response, and operational tooling across distributed environments. Automate repetitive operational t