Service Reliability Engineer Jobs

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. For 10 years, Scale has provided the high-quality data and full-stack technologies that power the world's leading models, and has helped enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. Every industry is moving AI to the center of operations, but there is still no clear blueprint for getting from pilot to profit. That is the problem our engineers work on. As a New Grad Software Engineer, you will own meaningful, customer-facing work from day one — shipping products, talking directly to the customers who use them, and iterating fast. Example Projects Build reinforcement learning and post-training data pipelines that power frontier model development Develop evaluation infrastructure that measures model reliability for enterprise and public sector customers Ship agentic AI applications and the tooling that makes them observable, testable, and safe to deploy Ship tools that accelerate the growth of new qualified contributors on Scale's platform Build fraud-detection systems that remove bad actors and keep Scale's contributor base safe and trusted Use models to estimate the quality of tasks and contributors, and guarantee quality on requests at large scale Devise advanced matching algorithms that pair contributors to customers for optimal turnaround and accuracy Create optimized and efficient UI/UX tooling, in combination with ML algorithms, for 100k+ contributors completing billions of complex tasks Develop new AI infrastructure products to visualize, query, and explore Scale data Build a customer service RAG application that handles thousands of questions a day Integrate a cutting-edge ML model that predicts churn into a customer's retention system

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 Software Engineer on the Agent Engagement and Experience team within Coinbase's Enterprise Applications and Architecture (EAA) org, you'll build the customer experience platforms that power customer service and compliance processes for CX agents across the company. This team creates innovative services, tools, and applications that help resolve customer issues and compliance KYC processes faster and with greater accuracy. You'll anchor new projects, set technical direction, and mentor engineers while architecting the distributed systems that directly improve customer satisfaction and compliance outcomes at scale. What you'll do: Architect and deliver distributed backend systems and foundational infrastructure components, including dynamic configuration, container orchestration, and secrets storage, using Golang, gRPC, TypeScript, and React Lead technical direction for the team by defining strategic roadmaps with engineering management and stakeholders, translating ambiguous problems into clear architectural plans with measurable outcomes Build and scale high-reliability services that streamline CX agent workflows and compliance processes, owning end-to-end delivery from design through production deployment Mentor engineers on design techniques, coding standards, testing practices, and operational best practices, raising the overall engineering quality bar

P-1377 Mission As a Senior ML and AI Technical Solutions Engineer, you play a critical role by helping customers debug and maintain stable GenAI and ML Workloads with AI agent systems using the Databricks Platform. You will develop product expertise end-to-end by advising a broad set of customers and use cases across the space - including products such as Agent Bricks, Vector Search and Model Serving. You will collaborate cross-functionally with other teams - whether that’s working with engineering to improve the product or interacting directly with the account team on a specific customer issue. TSEs have proven production troubleshooting and optimisation experience to help our customers’ workloads run smoothly and to achieve their strategic objectives with ML/AI technology with Databricks. Additionally, you are an early adopter of GenAI technology to improve your own efficiency and amplify the team's output. Reporting to a TSE manager - you will be part of a world class global support engineering organization for Databricks, known for your technical depth and delivering impeccable customer service. The Impact You Will Have Act as senior technical solution expert for complex issues spanning data pipelines, ML pipelines and/or AI applications, applying deep expertise in distributed systems. Analyse and troubleshoot production workloads at the code level, optimise for performance, reliability, latency, and cost. Diagnose and support Machine Learning and/or Large Language Model deployments, including real-time and batch inference, autoscaling, monitoring, logging, and alerting. Serve as a Subject Matter Expert guiding customers on experiment tracking, model registry, versioning, evaluation, labelling, tracing, and lifecycle observability. Provide high-quality support by guiding customers in leveraging Databricks AI to solve generative AI use cases & challenges, leveraging LLMs, MCP, AI Agents, RAG/Agentic RAG, APIs, vector embedd

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Responsibilities (What he/she will do after joining UI) - Own system-level DQA and validation activities for Energy Storage System (ESS) products throughout the NPI lifecycle. - Develop test plans and qualification criteria for ESS reliability, functionality, performance, safety, and system integration. - Validate ESS architectures, including battery packs, BMS, PCS/inverters, EMS, power distribution, protection circuits, and grid interaction. - Perform system integration testing for charge/discharge, grid-connected operation, backup power, load transitions, power outages, and recovery scenarios. - Define and execute reliability validation, including temperature, thermal cycling, humidity, vibration, ESD, surge, and long-term operation. - Validate BMS protection mechanisms, including over/under-voltage, over-current, short-circuit, temperature protection, SOC/SOH, and cell balancing. - Validate PCS/Inverter performance, including conversion efficiency, load response, abnormal operating conditions, and protection mechanisms. - Conduct high-power and thermal validation for battery cells, connectors, terminals, busbars, relays/contactors, and other high-current paths. - Conduct failure analysis (FA), root cause investigation, and corrective action verification for NPI, reliability, and field/RMA issues. - Apply FMEA/DFMEA, MTBF, sta

ABOUT THE TEAM The Systems Engineering team in Rubrik's Developer Platform organization owns the reliability of Rubrik Cloud Data Management (CDM) and RSC-P products. Our customers trust Rubrik to recover their data on the worst day of their year. We make sure the software holds up under that pressure, at scale, over months of continuous operation, and in the face of failure. We build the infrastructure and pipelines that let product teams validate stress, scale, longevity and resilience, and we own the call on whether a release is reliable enough to ship. We work with component teams, product management and release managers to build reliability early, rather than inspect for it at the end. What we own Release reliability certification. We own the reliability decision behind every CDM and RSC-P release, based on evidence from the platforms and pipelines we build. Stress, scale and chaos platforms. We build the infrastructure and pipelines for these validations, and give product teams self-service tools so they can validate their own work without waiting on us. Extreme-scale simulation. We build simulators that reproduce very large customer environments cost-efficiently. Long-running, customer-like environments. We operate and evolve clusters that run for months and mirror real customer deployments, so we find longevity problems before customers do. AI-driven triage and reliability. We build triage agents that investigate bugs, incidents and alerts, and we apply AI across our own workflows to speed up detection, diagnosis and certification. WHAT YOU'LL DO As Senior Manager of Systems Engineering, you will own how Rubrik proves its products are reliable before customers depend on them. Own release reliability. Be accountable for the reliability call behind every CDM release, and make ship-or-hold decisions with release managers and component leaders. Drive the qualification roadmap. Set one roadmap for release workflows and fast build qualification, improving both qua

About the Team API Multicloud partners with cloud service providers (CSPs) to bring OpenAI’s frontier models and APIs into the cloud environments where developers and enterprises already build. We own the API end to end across CSP platforms, from API integration and request routing through inference execution, capacity management, and day-to-day operations. Our mission is to make these capabilities available broadly and safely while preserving the reliability and developer experience customers expect from OpenAI. Delivering that experience requires work across the stack: adapting API services and cloud-native integrations, bringing up model-serving environments, validating new releases, and operating the systems that connect customer requests to available capacity. We work directly with CSP engineering teams and partner closely with OpenAI’s inference, API, infrastructure, security, and Safety Systems teams. Together, we turn new model capabilities and partner requirements into dependable production services, with attention to performance, operational readiness, and efficient use of compute. Our work contributes to OpenAI’s AWS partnership , including the launch of Daybreak Red and Daybreak Blue on Amazon Bedrock . We’re building on that foundation to bring OpenAI’s API to additional CSPs. These efforts let customers use OpenAI capabilities within the cloud infrastructure, security controls, and workflows they already rely on. About the Role We’re looking for experienced infrastructure engineers to design, build, and operate the systems that run OpenAI’s API across CSP platforms. You’ll help establish the cloud deployment platform: configuring and launching model-serving environments, planning capacity, improving caching and utilization, and making new releases safe and repeatable. Working closely with inference engineers, you’ll connect advances in model serving to the infrastructure and operational practices needed to run them reliably in production. The role call

Real people. Real service. At SupplyHouse.com , we value every individual team member and cultivate a community where people come first. Led by our core values of G enerosity, R espect, I nnovation, T eamwork, and GRIT, we’re dedicated to maintaining a supportive work environment that celebrates diversity and empowers everyone to reach their full potential. As an industry-leading e-commerce company specializing in HVAC, plumbing, heating, and electrical supplies since 2004, we strive to foster growth while providing the best possible experience for our customers. Through an Employer of Record (EOR), we are looking for a new Principal Backend Engineer in India to join our growing IT Team. This individual will report to our Sr. Director of IT, serve as a technical leader and system architect, guiding the design and delivery of scalable, reliable, and high-performance solutions across our e-commerce and internal platforms. You’ll partner closely with senior leaders to define the long-term engineering vision and lead initiatives that strengthen system performance, scalability, and reliability. If you’re an experienced technical leader who thrives on collaboration, mentorship, and building solutions that power business growth, we’d love to hear from you! Role Type: Full-Time Location: Remote from India Schedule: Monday through Friday, 4:00 a.m. – 1:00 p.m. U.S. Eastern Time / 12:00 p.m. – 9:00 p.m. Indian Standard Time to ensure effective collaboration Base Salary: The expected starting salary for the position is $46,172 to $57,715 USD within a full position range of $46,172 to $69,258 USD annually. This range reflects the long-term earning potential for the role. Our starting pay practice is the minimum to middle portion of the range, depending on experience, qualifications, and internal equity, consis

Real people. Real service. At SupplyHouse.com , we value every individual team member and cultivate a community where people come first. Led by our core values of G enerosity, R espect, I nnovation, T eamwork, and GRIT, we’re dedicated to maintaining a supportive work environment that celebrates diversity and empowers everyone to reach their full potential. As an industry-leading e-commerce company specializing in HVAC, plumbing, heating, and electrical supplies since 2004, we strive to foster growth while providing the best possible experience for our customers. Through an Employer of Record (EOR), we are looking for a new Principal Backend Engineer in India to join our growing IT Team. This individual will report to our Sr. Director of IT, serve as a technical leader and system architect, guiding the design and delivery of scalable, reliable, and high-performance solutions across our e-commerce and internal platforms. You’ll partner closely with senior leaders to define the long-term engineering vision and lead initiatives that strengthen system performance, scalability, and reliability. If you’re an experienced technical leader who thrives on collaboration, mentorship, and building solutions that power business growth, we’d love to hear from you! Role Type: Full-Time Location: Remote from India Schedule: Monday through Friday, 4:00 a.m. – 1:00 p.m. U.S. Eastern Time / 12:00 p.m. – 9:00 p.m. Indian Standard Time to ensure effective collaboration Base Salary: The expected starting salary for the position is $46,172 to $57,715 USD within a full position range of $46,172 to $69,258 USD annually. This range reflects the long-term earning potential for the role. Our starting pay practice is the minimum to middle portion of the range, depending on experience, qualifications, and internal equity, consistent wi

About Us: Samara Aerospace is revolutionizing satellite design by addressing the challenges of deploying and managing large satellite constellations. Our innovative Hummingbird spacecraft bus offers a modular and scalable platform that streamlines satellite production and deployment, significantly reducing launch costs. Hummingbird's compact architecture maximizes launch capacity, making it the most efficient and agile spacecraft in the industry. At the core of our technology is the patented Multifunctional Structures for Attitude Control (MSAC) system. Unlike traditional wheel-based pointing control systems, MSAC utilizes actuators embedded in the hinges of deployable solar panels to provide 3-axis attitude control and active jitter cancellation. This design eliminates the need for spinning wheels, reducing mass and potential points of failure, while enhancing pointing precision. Role: The Software team at Samara is looking for a Flight Software Engineer to join us in building an entirely new class of satellite systems. We are looking for someone who is curious, kind, and has high standards. This person will work on the flight software service stack that operates our satellite and is centered around a robust control software for our groundbreaking attitude control technology. Expect a high bar, necessary independence, high amounts of cross-team iteration, and to work alongside a team who is passionate about building something truly new. If you have a background in satellite flight software, attitude control, internet-of-things, backend web, or anything related, please apply! If you do not meet all of the below criteria, we encourage you to apply anyway. We are more interested in folks who are collaborative with high standards, a learning mindset, and most of the skills than in a perfect technology match. Responsibilities: Spacecraft reliability Observability instrumentation Designing test systems to expose bugs Fixing bugs In

About the Team The Spark Platform team owns and operates DoorDash's Apache Spark ecosystem — the execution runtime, remote shuffle service, cluster scheduler, and reliability tooling that powers the company's data, analytics, and ML workloads. We run Spark across the company at significant scale and continue to expand the workloads, capabilities, and consumer base we serve. Orchestrating and operating thousands of Spark cluster deployments is a complex distributed system problem which the team invests heavily in runtime optimization, systems architecture, multi-tenant scheduling, and end-user tooling. About the Role As a Software Engineer on Spark Platform, you will execute across the surfaces of our in-house Spark deployment that serves the entire company. The work spans Spark runtime upgrades and performance, multi-tenant scheduling and executor bin-packing on Kubernetes, cluster lifecycle automation, and the observability and incident automation that keep the platform sustainable. You will move between layers as the work demands — picking up the next high-leverage problem regardless of where it sits — and partner closely with the rest of the team and with platform consumers across the company. You must be located in San Francisco, Sunnyvale, Seattle, or New York City for this hybrid position. You will report into the Engineering Manager on our Spark Platform team. You're excited about this opportunity because you will… Build and operate an in-house Spark platform that runs at company-wide scale, spanning runtime, scheduler, reliability, and user-facing tooling. Drive multi-tenant scheduling, executor bin-packing, and cost-aware placement that let a small team serve dozens of consumer teams. Own pieces of cluster lifecycle automation — provisioning, upgrades, capacity changes, and node-failure handling — at a scale where these stop being manual events. Build the observability and incident automation that make the platform debuggable end-to-end and keep on-call sus

The MongoDB Customer Observability Team is a diverse group of contributors working together to help our users manage MongoDB at global scale. The team is responsible for MongoDB Atlas: our database-as-a-service offering and fastest-growing product, which allows users to deploy globally distributed MongoDB clusters in just minutes. We're seeking an SE3 to join our team to tackle exciting challenges within the Observability space. You'll contribute to developing tools and platforms that help our users understand the health and performance of their MongoDB deployments. This includes collecting metrics, monitoring slow queries, and offering actionable insights such as index and schema suggestions that improve the speed, efficiency, and overall reliability of their databases. This role provides a unique opportunity to drive engineering excellence across both dimensions of observability, leveraging technologies being developed within the Customer Observability group and contributing directly to the success of our customers and our product teams. If you're passionate about large-scale systems, digging deep into telemetry data, and building tools that make a real impact both internally and externally, we’d love to have you on board! We are looking to speak to candidates who are based in Dublin for our hybrid working model. We're looking for someone who Enjoys collaboration and being part of a team Is approachable, curious, and intellectually honest Is a backend engineer with a willingness to take on frontend tasks or a full-stack developer with a bias towards backend Has written backend systems in a compiled language (Java, C#, Go, etc.) Has experience with the design and architecture of a modern, scalable web application Is familiar with debugging and troubleshooting production issues Strong understanding of algorithms, data structures and their time and space complexity Nice to Haves Experience developing and writing code observability tools Previous work in T

About the Team OpenAI’s Infrastructure Operations team is responsible for the availability, reliability, and operational excellence of one of the world’s largest AI infrastructure networks. The team owns day-to-day operations of production AI networks across Industrial Compute's data centers, working with colocation providers, deployment teams, and hardware vendors to deliver highly available GPU infrastructure for AI training and inference workloads. About the Role We are seeking an Infrastructure Operations Engineer to operate and improve the large-scale Ethernet fabrics that support GPU clusters, storage systems, and management infrastructure. This role combines hands-on production operations with automation, observability, and incident response across a global AI network. The ideal candidate has experience operating high-availability data center, cloud, AI, or HPC networks and can move comfortably from physical-layer troubleshooting to routing and fabric behavior, change execution, and root-cause analysis. You will partner closely with network architecture, systems engineering, GPU engineering, storage engineering, security, deployment, site operations, service providers, colocation partners, and hardware vendors to raise reliability and reduce operational toil. Key Responsibilities Own the operational health, availability, and reliability of production AI network infrastructure across Industrial Compute's data centers. Monitor, troubleshoot, and resolve network incidents while meeting service-level objectives (SLOs), reducing Mean Time to Detect (MTTD), and minimizing Mean Time to Recovery (MTTR). Operate and maintain large-scale Ethernet fabrics supporting GPU compute, storage, and management networks. Execute production network changes, maintenance windows, and capacity expansions with minimal customer impact. Manage the hardware lifecycle, including switch and optics replacements, RMA coordination, software upgrades, and preventive maintenance. Support new A

About the Team The End-to-End (E2E) Feature and Homologation team brings systems engineering focus and discipline to Zoox mobility-as-a-service deployment and operations. We are systems engineers working with key business stakeholders to define and deliver remarkable product capabilities that span across Vehicle, Autonomy, and Operations segments. We partner with the systems teams from each domain by leveraging their deep technical knowledge, implementation expertise, and validation techniques to deliver a fully verified product capability. The result is E2E ownership of a world-class mobility service. About the Role E2E Feature Engineers are the champions of their feature domains, which cut across Vehicle, Autonomy, and Operations segments of the Zoox mobility service. You will be responsible for developing Fail-Operational capabilities of the Zoox mobility service. Through strong relationships with internal stakeholders (Product, Safety, Operations, Legal, etc.) and other systems engineers, you will deliver: design solutions, systems engineering documentation, multi-quarter capability plans, verification plans, and debug support. In This Role, You Will Lead the design of Fail-Operational behaviors while balancing safety, reliability, and operational efficiency. Partner with the functional safety team to identify product risks and quantify fail-operational performance. Own the outcome for the design and implementation of features with Hardware, Software, Operations, IT, Safety, Manufacturing, and Validation teams throughout the entire V cycle. Create and maintain high-quality and verifiable requirements and model-based designs, decomposing input from stakeholders to drive clarity and precision for systems specifications. Lead triage with cross-functional stakeholders for bugs or reported issues. Qualifications 8 years of engineering work experience, alongside a Bachelor's degree in

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. In this role, you will play a key role in ensuring the quality, reliability, and robustness of Ubiquiti networking products through design verification and system-level validation. As a member of the DQA team, you will collaborate with hardware, software, manufacturing, and cross-functional teams throughout the product development lifecycle to identify product risks, drive root cause analysis, and improve overall product quality. You will work across multiple networking product lines, including Ethernet switches, NAS, NVR, ProAV, and future networking platforms. We are looking for engineers with strong technical curiosity, hands-on debugging skills, and the ability to quickly learn new technologies in a fast-paced development environment. Your work will directly contribute to delivering reliable, high-quality products to customers worldwide. Responsibilities Participate in New Product Introduction (NPI) and drive design quality validation throughout the product development lifecycle. Develop and execute system-level validation plans for networking products, including Ethernet switches, NAS, NVR, ProAV, and future networking platforms. Perform functional, interoperability, compatibility, stability, reliability, and environmental validation. Validate networking and platform features, including

About the Role At Jumio, the Software Development Engineer IV - QA (SDE-IV, QA) is a senior technical role focused on ensuring the quality, performance, and reliability of highly scalable web portals and distributed backend systems. Our platform spans multiple Java Spring Boot microservices and customer-facing web portals , deployed across AWS ECS, EKS, and Lambda , and integrated through event-driven messaging using SNS/SQS . In this role you will design and drive the test automation strategy for both UI (Playwright) and API/service layers, set the quality bar for the team, and act as a force multiplier — mentoring other engineers and embedding quality earlier in the development lifecycle. You will work closely with development, product, and DevOps teams to ensure our products meet the highest standards of quality, scalability, and security. This is a hands-on senior IC role: you will write code, but you will also influence architecture, own cross-service test strategy, and make build-vs-buy decisions for testing tooling. T-Shaped Engineering Expectation As part of Jumio's engineering culture, you will adopt a T-shaped engineering approach. Beyond deep expertise in test automation and quality engineering, you will contribute across the development lifecycle — understanding software architecture, participating in design and API-contract discussions, reviewing application code, and ensuring our distributed systems are testable, observable, and resilient by design. Role Value This role is critical to ensuring the reliability, scalability, and security of Jumio's products. By architecting and maintaining automated testing frameworks across web, API, and event-driven layers, you will enable faster, higher-confidence releases and reduce production risk in a complex microservices environment. What You'll Do Test Architecture & Strategy Define and own the end-to-end automated test strategy across web portals and backend microservices, balancing UI, API, contract, integ