Production Tech Jobs

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What’s the opportunity? We are looking for a Senior Engineer to join the team that enables the core technologies that Fin is built on . This role is especially compelling for engineers who enjoy scaling Elasticsearch in production and who also like working across adjacent systems such as MySQL, ingestion pipelines, and owning how they operate from low level systems engineering to all parts of our Rails and monolith. Our team’s mission is to accelerate Fin’s growth and stability through educated and operationally excellent core technology usage. This means that we’re here to help product engineers and ML scientists build simpler, more performant product - faster. This can be through things like making low level database improvements that enhance everyone's experience, building best in class Elasticsearch tooling, or partnering with teams that utilise any of Fin’s core technologies or our build patterns. Previous projects from the team include future-proofing our databases through sharding and bu

The data management software market is transforming how organisations build and run applications. MongoDB is the leading developer data platform and the first database provider to IPO in more than 20 years. Join us at the forefront of data and application development. MongoDB Technical Services Engineers combine deep technical expertise with exceptional problem-solving and customer-service skills. You’ll advise customers and resolve complex challenges across MongoDB Core, drivers, Atlas, Cloud Manager, cloud platforms, and infrastructure. We’re looking for candidates based in Dublin to join our vibrant office and collaborative in-office team. This is a five-day role with one of the following schedules: Tuesday–Saturday, Sunday–Thursday, or a five-day pattern covering both Saturday and Sunday. Under our hybrid model, employees on weekend schedules are expected to work from the office two days per week. Cool things you’ll do You’ll help customers troubleshoot complex issues and run critical MongoDB workloads with confidence. You’ll: Solve customer challenges across architecture, performance, recovery, and security Lead investigations from diagnosis to resolution, providing clear, actionable guidance Partner with Product Management and Engineering to advocate for customers and improve MongoDB Build tools, documentation, and training while mentoring peers and raising technical excellence What you need We value curiosity, adaptability, strong technical foundations, and a genuine desire to help customers. You should bring many of the following: 5–6 years of experience in technical support, systems engineering, database administration, SRE, or a related field Experience running complex, mission-critical production database systems Strong Linux and systems engineering skills, including performance, memory, I/O, storage, networking, security, clustering, and troubleshooting A solid understanding of networking concepts and protocols, including DNS, TCP/IP, and SSL/TLS Ability

About the Team OpenAI's Industrial Compute organization is building the world's most advanced AI infrastructure ecosystem. In partnership with leading cloud providers, hardware manufacturers, utilities, construction partners, and internal engineering organizations, we are delivering hyperscale AI campuses that power the next generation of frontier AI models. Infrastructure Delivery Operations sits at the center of this effort. The team ensures that large, highly complex infrastructure programs execute predictably across planning, design, construction, hardware deployment, commissioning, and operational handoff. We partner across Hardware Engineering, Network Engineering, Capacity Delivery, Hardware Operations, Security, Finance, Supply Chain, and our external infrastructure partners to keep programs aligned, risks visible, and execution moving at Industrial Compute speed. About the Role We are seeking a Technical Program Manager, Infrastructure Delivery Operations to drive execution across large-scale AI infrastructure deployments. This role is responsible for orchestrating cross-functional delivery programs spanning multiple organizations, ensuring dependencies remain synchronized from early planning through production readiness. You will develop operational mechanisms that allow Industrial Compute to scale infrastructure delivery across multiple campuses simultaneously. Rather than owning any individual engineering discipline, you will own program health—bringing together engineering, construction, operations, supply chain, and partner organizations into a single coordinated execution model. Success in this role requires exceptional program management, executive communication, systems thinking, and operational rigor. You should be comfortable operating amid ambiguity while bringing structure to highly technical, multi-year infrastructure programs. Candidates should have experience leading complex infrastructure, cloud, data center, semiconductor, networking, manuf

About the Team The Stargate organization is responsible for building and scaling the physical infrastructure systems that power OpenAI’s next generation of AI training and inference platforms. This includes the manufacturing, deployment, and operational execution required to bring large-scale compute infrastructure online globally. The team operates at the intersection of data center infrastructure, hardware manufacturing, supply chain, deployment operations, and systems planning. We partner closely across Infrastructure Strategy, Manufacturing Operations, Capacity Planning, Supply Chain, Deployment, and Engineering to execute one of the largest infrastructure scale-outs in the industry. About the Role We are seeking a Technical Program Manager, Rack Delivery to drive operational execution across rack manufacturing, site readiness, and deployment coordination for Stargate infrastructure programs. This role will serve as a key connective layer between manufacturing partners, deployment teams, and infrastructure readiness programs to ensure rack production and delivery timelines remain aligned with site availability and deployment sequencing. You will help manage operational execution across contract manufacturers (CMs), support build planning and RCCA processes, and coordinate deployment readiness across multiple concurrent infrastructure programs. You will also partner closely with Demand Planning teams to translate strategic planning inputs into actionable SKU-level manufacturing and delivery schedules. This role is ideal for someone who thrives operating across ambiguity, manufacturing operations, infrastructure deployment, and large-scale cross-functional execution. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation support. Key Responsibilities Drive cross-functional coordination between rack manufacturing, deployment operations, and site readiness programs. Manage operational execution acros

About the Team OpenAI’s Stargate and 3P Engineering teams are responsible for building and scaling the external infrastructure ecosystem that powers advanced AI systems. We work across hyperscalers, colocation providers, cloud partners, and strategic third-party operators to turn contracted capacity into production-ready compute. Our scope spans the full lifecycle of external deployments: commercial alignment, technical readiness, network integration, hardware enablement, operational readiness, and long-range scaling strategy. As OpenAI’s infrastructure footprint expands globally, we need leaders who can convert complex partner environments into reliable, high-velocity capacity for training and inference workloads. About the Role We are seeking a Technical Program Manager, Token-as-a-Service (TaaS) to lead delivery of external compute capacity that directly serves OpenAI model workloads. In this role, you will own complex cross-functional programs that transform third-party infrastructure into usable tokens at scale. You will partner across engineering, capacity planning, networking, hardware, finance, product, and external providers to ensure that deployed capacity translates into real production throughput. This role sits at the intersection of infrastructure execution, systems readiness, and business impact. Success requires strong technical fluency, elite program management, and the ability to drive accountability across internal teams and external partners. This is a high-visibility role with direct impact on OpenAI’s ability to scale model training and inference globally. This role is based in San Francisco, CA, with a hybrid work model of 3 days in office per week. Relocation assistance is available. Key Responsibilities Lead end-to-end delivery programs that convert external infrastructure capacity into production-ready token supply. Own readiness across compute, storage, networking, security, and operational dependencies for third-party environments. Build

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity As a Member of Technical Staff and AI Agent Development Lead, you will lead the design, development, and deployment of next-generation AI agents that interact with users and complex environments. You will drive the architecture and implementation of scalable, reliable AI systems, working closely with research, product and engineering teams to build safe, interpretable, and performant AI technology. What You’ll Do Lead a cross-functional engineering team focused on AI agent development, from conceptual design to production deployment. Design and implement AI agent architectures leveraging state-of-the-art language models and associated technologies. Collaborate with research scientists on scalable experiments and productize research innovations. Drive the development of agent capabilities including dialogue management, decision making, and autonomy. Ensure AI safety and alignment principles are integrated throughout the agent lifecycle. Mentor and grow technical staff, fostering an environment of collaboration and innovation. Evaluate new tools, frameworks, and methodologies to enhance AI agent capabilities. Partner

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity Postman is seeking an experienced AI Systems Reliability Engineer to help define, build, and maintain the infrastructure and processes that ensure the reliability, scalability, and performance of Postman’s AI-powered API and agentic systems in production. This role focuses on monitoring, availability, incident response, and automation to support AI services and tools trusted by millions of developers globally. What You’ll Do Develop and manage reliability metrics (SLOs) for AI-driven API services and agentic AI platform features Implement comprehensive observability and monitoring systems for real-time performance and fault detection Design and drive automated failover, recovery, and incident response strategies for high-availability AI infrastructure Optimize resource utilization, particularly GPU/accelerator efficiency, ensuring cost-effective AI system operation Collaborate closely with engineering, platform, and product teams to align reliability efforts with broader organizational goals Lead efforts to build internal tooling and automation focused on AI system stability and operational excellence Drive continuo

Technical Lead - Backend About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the role: We are looking for a Tech Lead for the Gold Tech team to drive technical direction, architecture, and delivery of Paytm Digital Gold — a high-scale bullion platform serving consumer and merchant use cases at lakhs+ rpm. This role combines hands-on engineering with technical leadership — you will architect solutions, unblock the team, own critical money-path reliability, and partner with Product and Engineering leadership on roadmap and execution. We are building reliable, high-availability financial products and need a Tech Lead who can own modules end-to-end, raise the bar on code quality, and mentor junior engineers. Key Responsibilities: ● Define and evolve technical architecture for Gold services — scalability, reliability, security, and maintainability. ● Lead design and implementation of high-availability, high-volume transactional systems. ● Own end-to-end delivery of major initiatives — breakdown, estimation, risk management, and production rollout. ● Set engineering standards: code quality, review practices, testing strategy, observability, and incident response. ● Drive cross-service integration design. ● Guide the team on Kafka event design, scheduler orchestration, CDC pipelines, and data consistency patterns. ● Mentor and grow engineers (SSE and below); conduct reviews, pair on complex problems, and build team capability. ● Contribute hands-on to critical modules; unblock the team on complex bugs, performance issues, and production fires. ● Represent Gold Tech in architecture reviews, tech debt prioritization, and platform-wide initiatives. Skills Required: ●

Entry-Level Electrical / Wire Harness Assembly Technician Company: Boeing is currently seeking Entry-Level Electrical / Wire Harness Assembly Technicians in Mesa, AZ . Fabricate, assemble, modify, repair, test development, production and prototype wire harnesses and electrical assemblies. Utilize the Boeing Quality management system to identify and document nonconforming detail parts, assemblies and processes. Work with support teams including engineering, material management, and quality to improve manufacturing processes. Fabricate, assemble, modify, repair, test development, production and prototype wire harnesses and electrical assemblies. Construct wire harnesses and panels by cutting, sorting, color-coding, measuring, stripping, crimping, soldering, routing, and inspecting various lengths, types, and gauges of wire, heat-shrink, and other related materials including use of ruler, scale, and other measurement devices to interpret lengths. Operate tools and equipment such as wire strippers, crimpers, solder iron, wire identification and cutting machines, heat guns, and associated tools. Ensure all assemblies and detail parts are free of Foreign Object Debris (FOD) and non-conformance issues. Complete and maintain all required training and certifications needed to do your job efficiently. Maintain safety procedures and reports unsafe conditions to safety officials or manufacturing supervision. Knowledgeable and able to interpret blueprints, sketches, specifications and written or verbal instructions. Knowledgeable and skilled in electrical (wire harness) materials, fabrication and assembly methods and common shop practices. Knowledgeable and able to apply basic mathematics. Tr

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: We need a highly innovative Technical Lead! How confident are you that you can build sophisticated analytic systems? If you believe you could contribute to the development of innovative principles and ideas in a matrixed environment, please keep reading as we are seeking an individual contributor who has experience with Java and Python and can lead and nurture an inspiring environment in our Virginia office. Our Impact: The Investments and Capital Markets (I&CM) division is looking for a capable technology lead for its trading and analytics development team. This could be you! To thrive in this division, you must have a comprehensive understanding of system implementation and design, experience working in capital markets, and be enthusiastic about leading development of new paradigms in software system architecture. Your Impact: As a Trading Analytics Development Tech Lead, you will develop and maintain software using Java and Python tech stack that adheres to software engineering best practices. You will influence technical decisions, mentor developers, resolve engineering blockers, and partner with engineering managers to help teams deliver secure, reliable, and maintainable solutions. You will provide hands-on directions for full-stack applications, APIs, microservices, and integration services while reinforcing engineering discipline across design, development, testing, deployment, observability, and production readiness. Partner closely with Product Owners, engineering managers, architecture, business stakeholders, and cross-functional tec

Job Details: Job Description: Note: This role requires regular onsite presence to perform essential job responsibilities. This position drives technology development and enablement for both high-volume manufacturing and future process technologies. Responsibilities include providing process integration and equipment solutions, conducting feasibility studies to meet device performance requirements, and leading the design and development of advanced manufacturing processes. The role involves material selection, parameter optimization, metrology, equipment engineering, and system design to enable new product architectures and functional requirements. The successful candidate will lead pathfinding activities that support process and hardware development for next-generation manufacturing technologies and will contribute to technology roadmaps that enable future product innovation. The role also includes identifying and implementing equipment and process improvements to enhance manufacturing efficiency, optimize production output, and improve operational performance. Qualifications: Minimum Qualifications Master's degree in Electrical Engineering, Mechanical Engineering, Chemical Engineering, Materials Science, or a related STEM field, with 6+ years of semiconductor industry experience , primarily in dry etch process development. Bachelor's degree in Electrical Engineering, Mechanical Engineering, Chemical Engineering, Materials Science, or a related STEM field, with 9+ years of semiconductor industry experience , primarily in dry etch process development. 3+ years of experience collaborating with equipment suppliers (e.g., Lam Research, TEL, Applied Materials, Hit

Job Details: Job Description: Intel is one of the world's leading semiconductor companies, dedicated to creating world-changing technology that enriches the lives of every person on earth. Our Wafer Packaging Manufacturing (WPM) organization is at the forefront of advancing semiconductor packaging technologies, enabling groundbreaking product innovation. At Intel's Oregon campus, we are proud to be part of a legacy of innovation, collaboration, and excellence that continues to shape the future of technology. We are looking for a motivated and detail-oriented Metro Module Equipment Technician to join our Night Shift team in Oregon. In this hands-on role, you will be a critical contributor to the performance and reliability of Intel's semiconductor manufacturing equipment. You will troubleshoot, maintain, and optimize tools that are essential to Intel's production processes, directly supporting our ability to deliver cutting-edge technologies to the world. If you have a passion for problem-solving, a technical mindset, and a desire to make a real impact in the semiconductor industry, this is the opportunity for you. Key Responsibilities: Perform electrical and mechanical troubleshooting to diagnose and resolve issues in non-functioning manufacturing equipment Dismantle, adjust, repair, and reassemble equipment using Intel specifications, blueprints, manuals, and technical drawings Execute equipment setup, calibration, and preventative maintenance to ensure optimal tool performance Monitor and analyze equipment performance data; review and classify inline defects to drive continuous improvement Create detailed reports on system failures, update existing specifications, and develop new documentation to support equipment maintenance goals Coordinate with suppliers for serv

Job Details: Job Description: Intel is one of the world's leading semiconductor companies, dedicated to creating world-changing technology that enriches the lives of every person on earth. Our Wafer Packaging Manufacturing (WPM) organization is at the forefront of advancing semiconductor packaging technologies, enabling groundbreaking product innovation. At Intel's Oregon campus, we are proud to be part of a legacy of innovation, collaboration, and excellence that continues to shape the future of technology. We are looking for a motivated and detail-oriented Metro Module Equipment Technician to join our Night Shift team in Oregon. In this hands-on role, you will be a critical contributor to the performance and reliability of Intel's semiconductor manufacturing equipment. You will troubleshoot, maintain, and optimize tools that are essential to Intel's production processes, directly supporting our ability to deliver cutting-edge technologies to the world. If you have a passion for problem-solving, a technical mindset, and a desire to make a real impact in the semiconductor industry, this is the opportunity for you. Key Responsibilities: Perform electrical and mechanical troubleshooting to diagnose and resolve issues in non-functioning manufacturing equipment Dismantle, adjust, repair, and reassemble equipment using Intel specifications, blueprints, manuals, and technical drawings Execute equipment setup, calibration, and preventative maintenance to ensure optimal tool performance Monitor and analyze equipment performance data; review and classify inline defects to drive continuous improvement Create detailed reports on system failures, update existing specifications, and develop new documentation to support equipment maintenance goals Coordinate with suppliers for serv

Advanced Facilities operations Maintenance and Repair Process Technician Description - At HP, we exist to amaze. Through the people we hire, the experiences we enable, the way we treat our customers and each other—and ultimately through the technology we create. HP’s Corvallis site is a hybrid development and manufacturing factory, supporting advanced R&D, prototype manufacturing, and low‑volume production in a semiconductor cleanroom environment. Our technicians work on cutting‑edge equipment and processes that directly enable next‑generation printing and manufacturing technologies. Responsibilities The primary function of this role is the day-to-day operations and maintenance of the facilities equipment that supports business needs. Knowledge of RODI/IWW systems, chemical handling and delivery systems, troubleshooting and repair and maintenance of systems. Knowledge of operations and repair for chemical dispense systems that support fab wafer manufacturing. Willingness to be on call and wear full face respirators while performing chemical duties. Streamlines activities under common initiatives, managing achievements and touchpoints to ensure alignment and unity. Executes design work that consistently meets defined quality standards within specified timelines. Identifies team needs regarding processes, tools, documentation, and asset management, and drives necessary changes to enhance efficiency. Conducts design reviews of blocks with peers and management to demonstrate that designs meet specification targets and requirements. Develops design systems and standards that can scale across organizations and can be deployed across various global businesses. Collaborates with platform architects and systems groups to define overall specifications based on system requirements. Acts as the

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.