Service Reliability Engineer Jobs

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. Join forces with us on our mission to build a better IT industry. We are currently looking for a highly skilled Backend Software Engineer (Node.js) to join our team in Stockholm, Sweden. Please note that applicants must live in Sweden and hold a valid work permit at the time of application to be considered for this role. Team: You will join the UniFi Talk team that builds Ubiquiti's VoIP/phone system inside the UniFi ecosystem. UniFi Talk gives users desk phones plus the UniFi Talk application running on compatible UniFi consoles. This role is well suited to an engineer who enjoys solving complex product and platform problems, improving reliability, and working across backend, embedded, cloud, and application boundaries. Responsibilities: Design, build, and maintain backend services in Node.js and TypeScript. Develop secure, scalable, and maintainable APIs and service workflows. Contribute to architecture and code design decisions across the team. Review code and help maintain strong engineering standards, release quality, and development workflows. Investigate production issues, debug complex failures, and ship robust fixes. Work closely with embedded, web, mobile, product, and design teams to deliver platform capabilities used across the UniFi ecosystem. Improve the reliability, observability, and developer experience of t

About the Team DoorDash Labs is an independent team within DoorDash. We're hiring a backend software engineer to work at the intersection of software engineering and robotics to solve key business problems with elegant technical solutions. If you have a passion for applying robotics solutions to a service loved by millions of people, then we want to talk to you! About the Role We’re looking for Backend Engineers to work on both Product and Product Platform based teams in DoorDash Labs. Product focused Engineers work at the intersection of product and infrastructure to solve key business problems with elegant technical solutions. You'll operate our backend services and architecture that support all product functionality and will be challenged to consider the big picture -- collaborating cross-functionally, as well as evaluating and executing on trade-offs to maximize business impact for the company. You're excited about this opportunity because you will... Design and implement backend services for IoT that integrates with core DoorDash data, focused on reliability, and future extensibility Create a well documented APIs for other departments to integrate with Improve performance, reliability, scalability and security for our backend systems Introduce tools and best practices to accelerate our development process Design and implement backend services for autonomous delivery system that integrate with core DoorDash data. We're excited about you because you have... B.S., M.S., or PhD. in Computer Science or equivalent 6+ years of industry experience as a software engineer Experience with backend for frontend architecture Ability to improve efficiency, scalability, and stability of multiple system resources Experience with service oriented architecture, writing REST API’s, unit testing, and architectural design Understanding of modern web stacks and architecture (HTTP, REST) Experience with SQL Experience with either Java or Kotlin Nice to Have Experience with

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. Join forces with us on our mission to build a better IT industry. We are currently looking for a highly skilled Android BSP Engineer to our team in Stockholm or Malmö, Sweden. Please note that applicants must live in Sweden and hold a valid work permit at the time of application to be considered for this role. Responsibilities: Bring up Android on new custom hardware, from initial kernel boot through a fully functioning Android system Develop and customize the Android platform and board support package Configure and maintain the Linux kernel, device tree, boot configuration, and Android device configuration Integrate the Android software stack with custom hardware Integrate, port, develop, and maintain drivers and interfaces for RFID readers, sensors, and other peripherals Develop and integrate Android HALs, native services, system services, and application-facing APIs Configure Android init services, device permissions, SELinux policies, and VINTF manifests Diagnose problems across the bootloader, kernel, drivers, HALs, Android framework, and applications Debug hardware and software integration issues using logs, traces, test equipment, and hardware-debugging tools Optimize boot time, system performance, stability, power consumption, and reliability Build, configure, flash, and maintain Android system images Support system valid

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 Everpure Cloud Azure Native is a generally available service that brings enterprise-grade block storage natively to Azure. With the first version already live, we are expanding the service into new use cases and markets while improving its reliability, operability, and customer experience. Our Foundation team owns a Go-based control-plane service that coordinates how customers provision and use storage in Azure. Around it, we work with a modern cloud stack including Temporal and other platform services for workflows, automation, and observability. This is a production cloud service: the code you write directly shapes how customers deploy, scale, and operate storage in their Azure environments. You’ll work on a core storage service in a major public cloud , as part of a joint effort between Everpure and Microsoft. You’ll design and evolve APIs and service behavior in the critical path of real customer workloads, collaborating closely with engineers across both companies. Clear API contracts, long-lived interfaces, test automation, and CI/CD are fundamental to how we build. You’ll have the opportunity to own services end to end and solve complex distributed-systems problems in the public cloud. WHAT YOU'LL DO Own and evolve a production cloud service that powers Everpure Cloud Azure Native, taking features from idea and design through deployment and operation in Azure for real customers. Build new capabilities and i

Senior Machine Learning Engineer Description - We are looking for a Senior MLOps Engineer to design, build, and operate the infrastructure that enables machine learning models and large language models to be deployed safely, reliably, and at scale. In this role, you will create the end-to-end capabilities required to move models from experimentation into production, expose them through secure and highly available endpoints, and enable users and applications to interact with AI-powered services. You will work across AWS and Databricks to establish robust CI/CD pipelines, model-serving infrastructure, observability, governance, rollback mechanisms, and operational standards. You will partner closely with data scientists, machine learning engineers, software engineers, security teams, and platform engineers. The ideal candidate combines strong cloud and DevOps engineering skills with a practical understanding of machine learning systems, LLM deployment patterns, and production reliability. Key Responsibilities MLOps Platform and Architecture Design and implement a scalable MLOps platform using AWS and Databricks. Define reference architectures and reusable deployment patterns for traditional machine learning models, deep learning models, and large language models. Build standardized workflows that move models from development and validation into staging and production. Develop self-service capabilities that allow data scientists and ML engineers to deploy models without manually managing infrastructure. Establish clear separation between development, testing, staging, and production environments. Design multi-region or multi-availability-zone architectures where required by business continuity and availability objectives. CI/CD and

We are seeking a Senior Software Engineer with strong infrastructure expertise to design, build, and operate the next generation of our enterprise Observability, Automation, and AI-driven Reliability Platform. This role will build highly scalable distributed systems and platform services spanning Storage, Compute, Network, VMware, OpenShift, and bare-metal infrastructure. The engineer will help transform infrastructure operations from reactive monitoring and manual remediation to proactive, predictive, and AI-driven autonomous operations. What You Will Be Doing: Design, build, and operate distributed software platforms for enterprise observability, telemetry, automation, and infrastructure reliability at large scale. Develop reusable platform services, APIs, automation frameworks, and control planes that enable self-service, reduce operational toil, and automate infrastructure operations across multiple engineering teams. Build scalable telemetry and event-processing systems spanning metrics, logs, traces, events, topology, and alerts, with the performance and efficiency to process billions of infrastructure signals. Build intelligent and AI-native reliability capabilities, including agentic workflows for anomaly detection, forecasting, root-cause analysis, automated debugging, and closed-loop remediation. Drive technical architecture and engineering direction across Storage, Compute, Network, and Platform domains, solving complex and ambiguous problems that span multiple teams. Engineer for production at scale, with strong focus on software quality, scalability, security, performance, observability, maintainability, and operational readiness. Provide technical leadership and mentorship, influence engineerin

About the Team OpenAI, in partnership with our capital and technology partners, is building a global network of advanced datacenters to support the most demanding AI workloads. The Infrastructure Quality team ensures that all datacenter systems are manufactured, delivered, and commissioned to the highest standards of quality, reliability, and performance. We work closely with manufacturing partners, general contractors, engineering teams, and operations staff to ensure that every component is delivered ready for installation, startup, and long-term service. Our work spans from vendor qualification through commissioning, ensuring operational readiness across our global portfolio. About the Role We are seeking an experienced Manufacturing Quality Engineer (MQE) to establish, implement, and manage a manufacturing-focused quality program for datacenter infrastructure. This role will be responsible for vendor oversight, quality assurance, process improvement, and issue resolution for all critical systems. You will lead vendor audits, monitor performance metrics, and coordinate corrective actions to ensure predictable delivery schedules, reduced risks, and operational reliability. By partnering with vendors, construction teams, and internal stakeholders, you will help ensure OpenAI’s datacenters are delivered on time and built to the highest operational standards. Travel Domestic and international travel as needed (estimated 40–60%) to manufacturing sites, datacenter locations, and partner facilities. Key Responsibilities Vendor Oversight & Performance Management Conduct manufacturing evaluation, audits, and improve vendor performance across production, inspection, testing, and delivery phases. Develop and track quality metrics to assess manufacturing performance and identify trends. Partner with vendors to refine processes, training, and quality controls to mitigate risks before shipment. Program Development & Execution Develop and maintain a datacenter-focused m

Join the Atlas Search team to design and develop the next generation of Semantic and Vector Search infrastructure. Atlas Search is a growing cloud service that allows users to execute complex search and vector search queries using the MongoDB Query Language. Our users can focus on relevance and data retrieval instead of the machinery needed to search data at scale. Our team is building a cloud-based distributed system responsible for the core components of search including data ingestion, performance, query language, query execution, for both relevance-based search and vector search. Our product is being adopted quickly and there are many interesting projects. This is a technical role where you will be responsible for the infrastructure and features enabling our at-scale cloud service powering vector and semantic search. We are looking to speak to candidates who are based in the San Francisco Bay Area for our hybrid working model. What You’ll Do Lead complex projects across the MongoDB ecosystem, for instance, development of a new Search deployment framework within the MongoDB managed cloud Set project level strategy, architect features, and lead projects to successful execution Identify, design, and implement features enhancing our reliability, performance, security and efficiency Perform code reviews with peers and make recommendations on how to improve our software development processes Influence and grow team members through active mentoring and leading by example What We Look For 5+ years experience in data management/search systems, ideally with a strong distributed systems and infrastructure background Experienced in the development and maintenance of concurrent, stateful services Eager to shape the technological direction of a complex system and have the ability to lead initiatives through collaboration with others Experienced in writing features, debugging and optimizing multithreaded applications written in Java Familiarity with LLM

Role Description As a Software Engineer on the Metadata team, you’ll build and operate the large-scale distributed databases that every Dropbox service depends on. Metadata systems are mission-critical, in the live path for all user operations and must meet stringent requirements for latency, durability, and transactional consistency. You’ll design and evolve the core infrastructure that manages Dropbox’s databases at scale, enabling fast, reliable access to data for millions of users and hundreds of internal services. This work spans distributed systems, replication, caching, and transactional database systems. You’ll collaborate closely with engineers across Infrastructure and Product teams to ensure the metadata layer meets business needs and continues to scale with Dropbox’s growth. This is an opportunity to leverage your expertise in distributed systems and grow into broader technical leadership. Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here . Responsibilities Design and maintain distributed database systems providing low-latency, strongly consistent data access Implement and optimize replication, consensus, and caching mechanisms to meet availability and performance goals Operate production systems, including participating in the on-call rotation, ensuring high availability and data durability Collaborate with infrastructure and product teams to assess current and future use cases and requirements, supporting the development of a mid- to long-term roadmap that reflects these needs Contribute to system design reviews, postmortems, and reliability improvements Write high-quality, efficient code in Go and Rust for performance-critical systems On-call work may be necessary occasionally to help address bugs, outages, or other operational issues, with the goal of maintaining a stable and high-quality experienc

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. Role Summary Lead hardware development for next-generation NAS and enterprise storage platforms, from architecture through production. You'll design high-performance storage hardware, solve complex system-level challenges, and deliver reliable, scalable products. Responsibilities Architect, design, and develop NAS and enterprise storage hardware platforms utilizing PCIe, SATA, NVMe, DDR4/DDR5, USB, and high-speed Ethernet interfaces. Own schematic capture, component selection, and PCB design reviews, ensuring SI/PI, manufacturability, and product reliability. Lead hardware bring-up, debugging, and system validation, including functional, performance, thermal, and EMI/EMC testing. Collaborate with firmware, BSP, SI/PI, DQA, mechanical, manufacturing, and software teams throughout product development. Investigate and resolve hardware issues while continuously improving product performance, reliability, and cost. Requirements Bachelor's or Master's degree in Electrical Engineering or a related field. 3+ years of hardware design experience in NAS, enterprise storage, server platforms, or storage appliances. Strong foundation in digital and analog circuit design. Experience with PCIe, DDR4/DDR5, SATA, NVMe, USB, Ethernet, and SerDes. Experience designing power delivery systems with a solid understanding of SI/PI, thermal design

Role Description As a Software Engineer on the Metadata team, you’ll build and operate the large-scale distributed databases that every Dropbox service depends on. Metadata systems are mission-critical, in the live path for all user operations and must meet stringent requirements for latency, durability, and transactional consistency. You’ll design and evolve the core infrastructure that manages Dropbox’s databases at scale, enabling fast, reliable access to data for millions of users and hundreds of internal services. This work spans distributed systems, replication, caching, and transactional database systems. You’ll collaborate closely with engineers across Infrastructure and Product teams to ensure the metadata layer meets business needs and continues to scale with Dropbox’s growth. This is an opportunity to leverage your expertise in distributed systems and grow into broader technical leadership. Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here . Responsibilities Design and maintain distributed database systems providing low-latency, strongly consistent data access Implement and optimize replication, consensus, and caching mechanisms to meet availability and performance goals Operate production systems, including participating in the on-call rotation, ensuring high availability and data durability Collaborate with infrastructure and product teams to assess current and future use cases and requirements, supporting the development of a mid- to long-term roadmap that reflects these needs Contribute to system design reviews, postmortems, and reliability improvements Write high-quality, efficient code in Go and Rust for performance-critical systems On-call work may be necessary occasionally to help address bugs, outages, or other operational issues, with the goal of maintaining a stable

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. Join forces with us on our mission to build a better IT industry. We are currently looking for a highly skilled Senior Frontend Engineer to our team in Stockholm or Malmö, Sweden. Please note that applicants must live in Sweden and hold a valid work permit at the time of application to be considered for this role Responsibilities: Develop and maintain modular, reusable React components to deliver rich and responsive user interfaces across UniFi systems and applications Collaborate with designers and product managers to continuously enhance UI/UX, proposing improvements to existing interfaces and shaping new user flows Write and maintain comprehensive test cases to ensure code quality, reliability, and maintainability Contribute to frontend architectural decisions and participate in design/code reviews to uphold best practices Build scalable front-end visualization components for displaying device relationships, floorplans, and system topologies Build and maintain reusable AI skills, agent definitions, and their specs so AI-assisted workflows stay accurate over time Critically review and verify AI-generated code for correctness, rather than accepting it as-is Requirements: 5+ years of professional experience working with JavaScript, React and TypeScript Strong understanding of programming principles, design patterns, and modern we

Omada Health is on a mission to bend the curve of chronic disease. Job overview: We are seeking a Senior Software Engineer to help design, build, and scale modern data platform capabilities using cloud-native technologies and AI-driven solutions. In this role, you will develop reusable frameworks, platform services, and engineering patterns that enable teams to build reliable, scalable data-products and AI-powered workflows. You will also leverage Generative AI to enhance data discovery, governance, developer productivity, and self-service access to trusted data. Working closely with cross-functional teams, you will help shape a modern data platform that accelerates innovation while ensuring security, reliability, and operational excellence. Your Impact: Design, build, and operate scalable Data & AI platform capabilities for analytics, data science, and Generative AI use cases with strong practices around data quality, lineage, observability, security, and governance. Develop reusable abstractions, templates, services, and workflows that standardize how teams build and manage data pipelines and data products. Partner with Analytics, Applied-AI, Data-engineering and application teams to deliver platform capabilities that support business and clinical decision-making Evaluate and integrate modern data and AI technologies with a focus on scalability, reliability, developer experience, and cost efficiency Apply Generative AI technologies to improve data enablement, documentation, discovery, workflow automation, and platform usability Promote software engineering best practices, including clean code, automated testing, CI/CD, infrastructure-as-code, monitoring, and secure data handling About you: 5+ years of professional software engineering or data engineering experience building scalable data platforms, services, pipelines, or analytics infrastructure Hands-on experience with modern data architectures, including data lakes, lakehouses, warehouses, analytical datast

About the Role Amplitude's Cloud Platform team builds the systems that every Amplitude engineer relies on every day to ship code — and we're rebuilding them for the AI era. As a Senior Platform Engineer, you'll own medium-to-high-complexity platform projects end-to-end and help shape a platform where AI agents are first-class users alongside humans: kicking off deploys, opening pull requests against infrastructure, and triaging incidents, so a single engineer can get the throughput of a team. You'll partner with Staff engineers and product teams to make Kubernetes effortless across the engineering org, building self-service automation and scalable AWS infrastructure that lets product teams ship faster, safer, and with less cognitive load. If you're excited about building the systems that other engineers will rely on every day, this role is for you. Key Responsibilities Lead high-impact platform projects — design and ship capabilities that move the needle on developer experience, reliability, or security, and set the bar for quality, testing, and safe deployment practices. Build the AI-augmented platform. Design tooling and workflows that help engineers get more out of AI-assisted development — think infra primitives that are easy to reason about, automated review, and policy-as-code that keeps the guardrails strong as AI shifts how code gets written. Own Infrastructure-as-Code for Kubernetes, AWS, and GCP using Terraform, Helm, Kustomize, and emerging tooling — and make it consumable enough that an LLM can safely PR against it. Evolve our CI/CD backbone (Argo CD / Workflows / Rollouts, GitHub Actions) to make deploys faster, safer, and easier to reason about. Instrument and operate. Drive observability with Datadog and Amplitude, own dashboards and SLOs, and use the data to push reliability forward. Participate in on-call, lead incident response when needed, and turn postmortems into durable platform improvements. Reduce toil and tech debt with pragmatic remediation

Senior Software Engineer - Streaming Platform Client Data streams are mission-critical at Datadog, powering near real-time communication across the vast majority of our services. Our Streaming Platform group builds the core infrastructure and abstractions that ensure Datadog remains a trusted partner for engineers worldwide. See our blog post . The Streaming Platform Client team sits at the heart of this ecosystem. We own the Rust client library (producers and consumers) with language bindings for Java, Go, and Python. We focus on building intuitive APIs and abstractions that make a powerful distributed system easy to adopt and operate for the hundreds of internal users of our library. Our library runs on critical data paths that handle hundreds of millions of messages per second making performance, observability, and reliability paramount. We also develop and operate the service that bridges the clients fleet with the platform's control plane, handling complex balancing, scaling, and static stability challenges. We are seeking a Senior Software Engineer to help us evolve these features. You will collaborate directly with our users, tackle performance-critical code, and solve complex distributed systems challenges across the control plane, client libraries, and data plane. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Work within a distributed, high-impact team spanning Europe and the US, building critical technologies that power data pipelines for dozens of internal teams and hundreds of services. Architect and implement resilient interactions between our client libraries and the control plane. Optimize our high-throughput, low-level streaming library to push the boundaries of performance and efficiency. Champion the developer experience by providing