Reliability Engineer Jobs

Job Overview We are looking for an Analytics Engineer who will own dbt Cloud in our organisation and maintain the analytics pipelines built on top of it. You will administer dbt Cloud across multiple independent projects, keep our business-critical pipelines running (including finance data models), and support analysts in other teams as a mentor and go-to person for dbt. Our stack is Snowflake, dbt and AWS, with Python for tooling and automation. We are also building AI-assisted and agentic workflows into our daily work, and you will take an active part in this. Reports to Director of Mobile and New Games What will you do? Administer dbt Cloud for the whole organisation: project setup, environments, permissions, CI/CD, version upgrades and cost control Set up and support multiple independent dbt projects, define common standards and conventions so teams stay aligned Develop and maintain production dbt pipelines, including complex finance models where accuracy and trust are critical Mentor analysts on dbt, SQL modeling, testing and code review Tune Snowflake performance and cost, improve pipeline reliability and monitoring Build tooling and automation in Python (AWS Lambda, S3, orchestration, metadata workflows) Drive AI adoption in our analytics engineering work: build common AI skills for dbt development (documentation, testing, code generation) and automated agentic workflows that the whole team can reuse Follow current trends in AI tooling and agentic systems, evaluate new approaches and bring the useful ones into the team What are we looking for? 4+ years of experience in analytics engineering, data engineering or a similar role Strong hands-on dbt experience, ideally including dbt Cloud administration (projects, environments, jobs, CI/CD), not only model development Strong SQL and data modeling skills Production experience with Snowflake, including performance tuning and cost awareness Python for data tooling and automation Experience with AWS services used in

Job Overview We are looking for an Analytics Engineer who will own dbt Cloud in our organisation and maintain the analytics pipelines built on top of it. You will administer dbt Cloud across multiple independent projects, keep our business-critical pipelines running (including finance data models), and support analysts in other teams as a mentor and go-to person for dbt. Our stack is Snowflake, dbt and AWS, with Python for tooling and automation. We are also building AI-assisted and agentic workflows into our daily work, and you will take an active part in this. Reports to Director of Mobile and New Games What will you do? Administer dbt Cloud for the whole organisation: project setup, environments, permissions, CI/CD, version upgrades and cost control Set up and support multiple independent dbt projects, define common standards and conventions so teams stay aligned Develop and maintain production dbt pipelines, including complex finance models where accuracy and trust are critical Mentor analysts on dbt, SQL modeling, testing and code review Tune Snowflake performance and cost, improve pipeline reliability and monitoring Build tooling and automation in Python (AWS Lambda, S3, orchestration, metadata workflows) Drive AI adoption in our analytics engineering work: build common AI skills for dbt development (documentation, testing, code generation) and automated agentic workflows that the whole team can reuse Follow current trends in AI tooling and agentic systems, evaluate new approaches and bring the useful ones into the team What are we looking for? 4+ years of experience in analytics engineering, data engineering or a similar role Strong hands-on dbt experience, ideally including dbt Cloud administration (projects, environments, jobs, CI/CD), not only model development Strong SQL and data modeling skills Production experience with Snowflake, including performance tuning and cost awareness Python for data tooling and automation Experience with AWS services used in

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. JOB DESCRIPTION The Equipment Engineer role at Micron Technology, Inc. offers an outstanding opportunity to join a skilled team. This team focuses on launching, developing, and refining processes to improve product quality and reliability. The position aims to improve process yield, reduce costs, increase efficiency, and manage risks flawlessly. You will troubleshoot manufacturing line challenges and find effective solutions. Your duties include identifying, investigating, and resolving process or equipment issues using failure analysis, FMEA, 8D, or SPC methods. You will coordinate assessments and optimize processes, equipment, and materials by making necessary adjustments at various stages. You will lead activities for yield improvement and cost reduction, coordinate new baseline qualifications, and work closely with suppliers to meet quality, cost, and risk goals. RESPONSIBILITIES Guided by program or project objectives, serve as a subject matter expert within a technical field with latitude for decision making. - Ensure close interaction with equipment suppliers. - Work in close collaboration with process and manufacturing teams. - Drive equipment planning, selection, and configuration with the area process engineers. - Advanced troubleshooting of tool issues; solve complex problems and seek mentorship for issues of a highly complex nature. - Ensure continuous knowledge exchange on best-known methods; translate changes from other factories into improvement actions within

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. Responsibilities: Develop and implement process integration strategies to achieve flawlessly operational semiconductor devices. Work together with diverse groups to identify the most effective methods for incorporating new technologies into current workflows. Conduct data analysis to optimize performance and yield, ensuring world-class quality standards are met. Troubleshoot and resolve process-related issues, applying your proven expertise to maintain high efficiency and reliability. Promote continuous progress projects to compete against and outperform industry norms. Actively apply AI tools to improve work efficiency and productivity. Minimum Qualifications: Master's degree or equivalent experience in Electrical Engineering, Chemical Engineering, Materials Science, or a related field. Proven experience in semiconductor process integration and development. Strong analytical and problem-solving skills. Ability to work well with diverse functional groups. Proficiency in data analysis and statistical process control. Preferred Qualifications: Master's degree or higher in a relevant field, or equivalent experience. Experience with AI tools and their application in semiconductor processes. Familiarity with advanced semiconductor materials and device physics. Proven a

Job Details: Job Description: Join Intel's Silicon and Platform Engineering Group (SPE) as an Exempt Tech Contract Employee, The Role and Impact :As a Power Integrity Engineer, you will play a pivotal role in ensuring Intel's platforms and products meet the highest standards of performance and reliability. This position offers you the opportunity to work on cutting-edge technologies, designing and optimizing power delivery networks for complex high-speed platforms, boards, packages, and silicon. Your contributions will directly impact Intel's ability to deliver industry-leading solutions to its customers, driving innovation in power integrity and enhancing the performance and functionality of our silicon and systems. Join us to tackle exciting challenges and create impactful solutions that push technological boundaries. The primary responsibilities for this role will include, but are not limited to: Develop and analyze power delivery networks, including 2D and 3D model extraction and noise analysis across die/C4 bumps, silicon, package, sockets, and boards. Define power grid specifications and power and area targets to achieve optimal balance between power integrity and performance. Design test structures, electrical analysis methodologies, and verification plans to address power integrity challenges. Perform measurements to characterize power noise profiles across frequency, ground bounce, and other critical metrics, verifying power delivery networks post-design. Correlate measurements back to presilicon analysis and estimations for improved accuracy. Apply expertise in power integrity design and tradeoffs to guide simulations of power networks and physical implementations for packages and platforms. Ensure on-die power noise meets system-on-chip (SoC) functionality an

Job Details: Job Description: As a Facilities Mechanical Engineer, you will play a pivotal role in ensuring the reliable operation and maintenance of Intel's advanced mechanical systems, supporting our cutting-edge manufacturing, cleanroom, and research and development activities. Your work will directly impact Intel's ability to innovate and deliver world-class technologies by maintaining the critical infrastructure that enables peak operational performance. This role offers a unique opportunity to drive engineering excellence, collaborate with cross-functional stakeholders, and shape the future of Intel's facilities globally. Key Responsibilities: Ensure the availability, reliability, and maintenance of mechanical systems such as oil-free air systems, HVAC systems, chilled water plants, boilers, environmental abatement systems, and compliance exhaust systems. Support daily tactical efforts to meet safety, reliability, and environmental targets for mechanical systems. Design and analyze mechanical systems and equipment, troubleshoot systematic issues, and provide evaluations, recommendations, and solutions to resolve problems. Develop engineering scopes of work for mechanical projects and conduct design reviews to ensure system integrity and performance. Conduct feasibility studies and testing on new and modified designs, while overseeing prototype fabrication and design testing. Partner with internal business units and operations teams to deliver engineering solutions tailored to their specific needs.

About the Team Consumer Monetization builds the experiences and systems that power how customers purchase and pay for OpenAI products. Our scope spans purchasing flows, payments, subscriptions, and billing, along with the shared capabilities that support new products, offers, and distribution channels. We own both customer-facing experiences and the underlying platforms that power them. We partner closely with Product, Design, Growth, Data Science, and engineering teams across OpenAI to make purchasing effective and reliable, and new offerings easier to launch and monetize. About the Role We’re looking for experienced Staff+ engineers to evolve the payments, billing, and subscription capabilities that support OpenAI’s growing product portfolio. You’ll tackle problems where correctness, reliability, and flexibility are essential: supporting new billing requirements, managing the billing lifecycle, synchronizing state across internal systems and external providers, and enabling new products and commercial models. Your work may span several areas based on your expertise and team priorities: Billing and monetization capabilities: Extend billing capabilities and improve integrations and state consistency across systems to support new products and business models. Subscriptions: Orchestrate purchases, renewals, plan changes, cancellations, and recovery, ensuring customers are charged correctly and receive the right benefits. Payments: Expand payment capabilities through processor integrations, routing, and broader payment-method coverage. Risk and integrity: Partner with risk and integrity teams to integrate controls into purchasing flows, reducing abuse while protecting legitimate customer experiences. You’ll help set technical direction while remaining hands-on in implementation and delivery. This is an opportunity to solve complex engineering problems at scale, connect architecture decisions to customer and business outcomes, and help other engineers take on broader ow

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 an IT Network Engineer at Micron, you will be responsible for the operational health (Security, Availability, Performance, Interoperability and Reliability) of Micron’s data communications systems. You will support the acquisition, installation, maintenance, and administration of Micron’s data and voice communications systems. Network Engineers specialize in LAN/WAN, Wireless, and Telecommunications hardware, software and cabling. You will regularly work with Micron’s Business Units to ensure solutions meet or exceed business requirements. You will be expected to suggest, promote, and leverage published standards to minimize environment complexity and ensure regulatory as well as license compliance. Responsibility Collaborate with various teams and functional areas in developing and improving business processes with clear and agreed-upon business rules Develop process improvement strategies across the network Prioritize and manage multiple projects based on Department and corporate objectives Lead and collaborate with various engineering groups to optimize current processes and align the network to improve manufacturability, yield, quality and cost performance of products Work with process integration team to implement and integrate new/improved process workflow Maintain documentation for new and improved processes Communicate project strategy, status and actions through meetings, presentations and reports to

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 an IT Network Engineer at Micron, you will be responsible for the operational health (Security, Availability, Performance, Interoperability and Reliability) of Micron’s data communications systems. You will support the acquisition, installation, maintenance, and administration of Micron’s data and voice communications systems. Network Engineers specialize in LAN/WAN, Wireless, and Telecommunications hardware, software and cabling. You will regularly work with Micron’s Business Units to ensure solutions meet or exceed business requirements. You will be expected to suggest, promote, and leverage published standards to minimize environment complexity and ensure regulatory as well as license compliance. Responsibility Collaborate with various teams and functional areas in developing and improving business processes with clear and agreed-upon business rules Develop process improvement strategies across the network Prioritize and manage multiple projects based on Department and corporate objectives Lead and collaborate with various engineering groups to optimize current processes and align the network to improve manufacturability, yield, quality and cost performance of products Work with process integration team to implement and integrate new/improved process workflow Maintain documentation for new and improved processes Communicate project strategy, status and actions through meetings, presentations and reports to

NPI Mechanical Quality Engineer Description - As part of the Personal Systems Quality organization, the NPI Mechanical Quality Engineer drives product quality and reliability throughout the NPI product development lifecycle. This role partners with cross-functional teams to evaluate designs, identify and mitigate reliability risks, drive failure analysis and root cause investigations, and implement corrective actions that improve product quality and customer experience. This role provides technical leadership in reliability test development, mechanical design assessment, and Design for Quality and Reliability (DFX) initiatives to ensure high-quality products from concept through production. Strong mechanical engineering expertise, problem-solving skills, and team collaboration are essential for success in this role. *Onsite in Spring office is required 4-days a week Responsibilities: • Provides technical analysis of compute products during NPI Phase through RFQ design proposal reviews, CAD reviews, and DFX product tear downs. • Provides advanced failure analysis, root cause identification, and corrective/preventive actions for reliability concerns and/or issues during development, manufacturing, and field operations. • Proactively addresses customer requests or issues related to mechanical reliability, ensuring timely resolution while liaising with the relevant stakeholders. • Provides consultation to product development architecture teams regarding material component selection, design risk assessment, and associated reliability test plans. • Provides NUD (new, unique, difficult) risk mitigation and test plan development and develops issue prevention. • Actively mentors less-experienced engineers in the field of mechanical reliability and contributes to their growth in the organization. Education & Expe

The Engineering Lead Analyst – SonarQube & Code Quality Engineering is a senior-level engineering role responsible for leading static code analysis, automated code quality governance, security vulnerability remediation, and AI-augmented developer enablement across enterprise software delivery pipelines. In this role, you will champion software reliability, maintainability, clean-coding standards, and automated quality gates. You will partner with development teams, system architects, and platform engineering to integrate and manage enterprise-scale code quality platforms (such as SonarQube) both on-premises and in cloud/SaaS environments. Additionally, you will drive modern engineering practices by embedding Behavior-Driven Development (BDD) within your own software delivery and leveraging Agentic AI workers and Model Context Protocol (MCP) architectures to optimize developer experience, streamline code governance, and boost engineering velocity. Key Responsibilities 1. Code Quality & Static Analysis Platform Ownership Lead the architecture, deployment, administration, and continuous enhancement of enterprise Static Application Security Testing (SAST) and Code Quality platforms (e.g., SonarQube , DeepSource, Codacy, Semgrep). Configure, calibrate, and enforce automated Quality Gates, code rulesets, technical debt calculation models, and code-coverage baselines across multi-language enterprise repositories. Oversee version upgrades, patching, high availability, and operational maintenance for on-premises and SaaS/cloud-hosted code quality infrastructure. 2. CI/CD & Pipeline Integration <li style=

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We are looking for Data Engineering interns who are excited to help scale the systems and pipelines that power decision-making at Figma. As an intern on our data team, you will partner with engineers and analysts to design and build reliable datasets, ensure data quality, and make Figma's data more accessible across the company. This internship will be based out of our San Francisco or New York Hub. What you'll do at Figma: Build, test, and document data pipelines that bring product or business data into Figma’s data warehouse Help design foundational datasets that are trusted, well-documented, and easy to use Optimize pipelines for performance and scalability as Figma grows Partner with cross-functional teammates to understand data needs and deliver solutions Contribute to the tools and practices that make working with data at Figma easier With support from a manager and mentor, you’ll own a scoped project from problem definition through implementation, testing, documentation, and sharing the results. Some projects you could work on: Develop new ETL jobs to integrate product or business data into our warehouse Improve the performance and reliability of core pipelines Build reusable datasets that support experimentation, product and business analytics, or cross-functional stakeholders Document and simplify complex data workflows for broader use We'd love to hear from you if you have: Experience coding in Python or a similar language and writing SQL queries Experience building or working with dat

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. The Driver team is dedicated to fostering a platform of high-quality service by empowering drivers to perform their best. We are looking for a product-minded engineer who wants to build and improve products that sit at the center of the core driver experience. Products you drive will solve pain points that matter most to drivers by streamlining key interactions, reducing friction, and creating systems that feel intuitive, fair, and supportive. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our passengers and drivers. Responsibilities: Design and implement backend features end-to-end with clear ownership, delivering well-scoped work from technical design through to production with moderate guidance from senior engineers Write clean, reliable, well-tested code that meets team standards and holds up in code review Participate actively in code reviews, giving specific and constructive feedback while continuing to develop your own review instincts Debug and resolve issues across backend services including performance bottlenecks, reliability problems, and data integrity issues Collaborate with product managers, designers, and partner engineering teams to clarify requirements and surface technical constraints early Contribute to technical discussions and help evaluate implementation approaches for new features Write unit and integration tests for your own code and develop familiarity with the team's broader testing and observability practices Address technical debt and make incremental improvements to existing services as part of regular development work Participate in on-call rotations, respond to production incidents, and support teammates in mitigating custome

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. As a PCB Power Design Engineer, you will design and optimize power distribution systems for Tenstorrent’s next-generation AI accelerator cards, balancing performance, area, cost, and reliability. You will contribute across the full power design lifecycle, from component selection and simulation through board bring-up, validation, debugging, and production readiness. Working closely with hardware, firmware/software, thermal, mechanical, and validation teams, you will help deliver robust power architectures for high-performance AI systems. This role is hybrid, based out of Toronto, Canada. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are An electrical engineer with experience designing, analyzing, and debugging power distribution systems for high-performance or high-power products. A hands-on engineer who enjoys moving from schematics and simulations into lab bring-up, testing, troubleshooting, and design validation. A systems-oriented collaborator who can work effectively across hardware design, firmware/software, thermal, mechanical, and validation teams. A detail-oriented problem solver who balances electrical performance, power integr

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 Drive the hardware engineering lifecycle for Everpure’s Hyperscale Line of Business, shaping high-performance, energy-efficient storage architectures tailored directly to hyperscale partners . You will serve as the technical lead bridging customer requirements and internal engineering execution, ensuring custom hardware solutions meet exacting performance and total cost of ownership (TCO) benchmarks . Working closely with cross-functional teams in validation, diagnostics, manufacturing test, and operations, you will lead hardware qualification projects, solve critical escalations, and advance system robustness . This role gives you direct ownership over the hardware that powers next-generation, large-scale data infrastructure . WHAT YOU'LL DO Lead Hardware Qualification & System Hardening: Plan, execute, and automate comprehensive x86 hardware validation cycles—including electrical, signal integrity, and protocol testing—to guarantee system reliability for enterprise hyperscale deployments . Drive Cross-Functional Production Readiness: Partner with operations, manufacturing test, and software diagnostic teams to transition custom storage subsystems into full-scale production, establishing clear test coverage and automated validation workflows . Resolve High-Impact Technical Escalations: Perform root-cause analysis on complex hardware failures and field escalations, using advanced tools like high-speed o