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Software Product Reliability Engineer Jobs

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Explore current software product reliability engineer jobs. Use filters to narrow by work mode, employment type, experience and date posted.

T
Toast
📍 United States• Remote• $193K – $309K/yr
1mo ago

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. Toast is looking for a hands-on Staff Software Engineer to join the GTM & AI Strategy Engineering team. In this role, you will be a primary builder of 0-to-1 tools designed to revolutionize how our sales teams operate. This isn't about maintaining legacy systems; it’s about writing the code and building the intelligence models that eliminate friction across the Go-To-Market stack. As a technical lead, you will be responsible for building and productionizing agentic workflows and RAG pipelines to automate sales processes. You will integrate AI services into the tech stack while maintaining rigorous standards for observability and performance monitoring. A day in the life (Responsibilities) Hands-on Execution: Spend the majority of your time "hands-on-keyboard", architecting and coding high-performance backend services and ML pipelines. 0-to-1 Development: Build and prototype new internal products from scratch that leverage LLMs and Agentic AI to automate account research, lead prioritization, and complex quoting logic. Infrastructure Integration: Develop the backend connective tissue between our custom quoting engine, Salesforce, and internal data lakes to ensure a seamless, low-latency end-to-end experience. Technical Problem Solving: Act as a key executor to solve complex synchronization and architectural challenges across the GTM stack, ensuring systems are scalable and resilient. Build Great Products: Deliver significant core capabilities that have broad impact; take high-level goals and turn them into sequenced, production-ready code. Problem Solve: Anticipate shifts in product needs and build flexible, decoupled backend systems that can evolve with our AI strategy. Deliver Quality: Ensure the reliability

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Prolific
📍 United Kingdom• Remote
1mo ago

Senior Product Engineer II Team: Engineering Prolific Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models. The role As a Senior Product Engineer II you will be the senior technical contributor for your team, partnering with the Engineering Manager to set technical direction and ensure delivery excellence. You will balance hands-on contribution with technical leadership, serving as the go-to person for technical decisions and architecture within your team's domain. You are increasingly outward-facing, representing your team's technical work beyond its boundaries. What you’ll be doing in the role Define Technical Direction: Partner with the EM to shape the team’s technical roadmap, strategy, and architectural direction. Drive Engineering Excellence: Own code quality, testing, reliability, performance, and engineering standards across the team. Lead Technical Discovery: Guide technical planning, discovery, solution design, and decision-making, balancing short- and long-term needs. Collaborate and Influence: Facilitate cross-team technical collaboration, contribute to engineering-wide initiatives, and act as a technical liaison. Grow the Team: Actively mentor and develop engineers at any level, within and beyond the team. What you'll bring to this role Technical Leadership: Proven experience leading technical direction, making architectural decisions, and solving complex engineering problems. Engineering Expertise: Deep expertise in software engineering, architecture, testing, reliability, performance, and maintainable system design. Product Mindset: Ability to connect technical decisions to customer and business outcomes while balancing del

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Harvey
📍 San Francisco• Full-time• Remote• $231K – $340K/yr
1mo ago

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview As a Staff Software Engineer on the Model Infrastructure team, you'll lead the design and development of the systems that power every AI request at Harvey. You'll partner closely with AI Research, Product Engineering, Infrastructure, and external model providers to build a platform that is highly reliable, scalable, observable, and efficient. What You’ll Do Lead the design and implementation of Harvey's Model Infrastructure platform. Build systems to ensure high availability, low latency, and operational excellence for AI inference. Design and improve Harvey's Unified Model Controller (UMC) and Model Selector platform to automatically detect model degradations and intelligently route traffic based on reliability, latency, quality, compliance, and cost. Develop systems

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Roblox
📍 San Mateo• $243.3K – $295.3K/yr
1mo ago

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. What You’ll Do: As a Senior Software Engineer on the Sharing team, you will build the foundation that powers how millions of users capture, share, and discover content on Roblox Moments. You will work across the stack to deliver high-performance experiences, from client-side user flows to the backend systems that serve billions of contents each day. You will partner closely with product and other engineering teams to define architecture, improve reliability, and drive measurable impact on engagement and content growth. This role is ideal for engineers who thrive on building scalable, developer facing and user-facing products that blend technical depth with creative impact. You Will: Design and build engaging, high-performance content creation/sharing and consumption experiences across Roblox Moments Own projects end to end, from design and architecture to launch and iteration, driving measurable impact on user engagement and content quality. Collaborate with engineers across product, safety, and infrastructure teams to define best practices and align on scalable solutions. Identify gaps in performance, testing, and experimentation workflows, and lead improvements that make the team mo

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Stripe
📍 South San Francisco
1mo ago

Who we are About Stripe Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. What you’ll do Responsibilities Design, build, and maintain high-scale, distributed systems to work with the company. Work within a team to build the core networking solutions, which include load balancing, mTLS networking, fleet health & observability used by product teams to build and operate microservices supporting the company’s business. Build a great customer experience for internal company teams using Infra and play a key role in enabling the company’s Infra to power all of the company’s products globally and at scale. Scope, design, implement, and deploy robust solutions, making appropriate tradeoffs between reliability, throughput, latency, resiliency, engineering, velocity, and cost. Innovate, design, and implement software solutions that contribute towards improvement and resiliency, reliability, efficiency, and management at scale. Contribute to team strategy, roadmap, tooling, process, and culture. Set clear goals and provide regular feedback on team member performance. Who you are Minimum requirements Must have a Bachelor's Degree or foreign equivalent degree in Computer Science, or a related field, plus five (5) years of post-bachelor's progressive work experience in software engineering. In the alternative, the employer is willing to accept a Master's Degree or foreign equivalent in Computer Science, or a related field, plus three (3) years of experience in Software Engineering. Must a

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Roblox
📍 San Mateo• $196.8K – $243.3K/yr
1mo ago

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. The Consumer Apps Desktop team owns the Windows and macOS foundation behind every Roblox session on a PC or Mac: the window, the launch path, and the shell that holds everything together. You will own that foundation with us. We are dedicated to delivering superior performance, reliability, and user experience on Windows and Macs. As a Senior Software Engineer on the Desktop team, you'll be a driving technical force; you will lead complex client work end-to-end and raise the quality bar across our codebase. You will lead projects at that scale end-to-end, set the technical standard in a codebase millions of people depend on daily, and partner with product, design, and platform teams to ship work that is polished and fast at scale. You Will: Shape & improve the Windows and macOS experience that millions of players see every day. Own major Windows and MacOS initiatives end-to-end from ambiguous idea to shipped, measured, and iterated on. Rebuild the parts of the app every player touches: how it launches, how it renders, how it lives in the OS. Set the technical standard through code review, mentorship, and the code you write yourself. Make platform bets that pay off for engineering teams

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Harvey
📍 San Francisco• Full-time• $161K – $245K/yr
1mo ago

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview As a Software Engineer on the Security Engineering team at Harvey, you'll build and operate foundational security services for both our customer-facing product and the internal systems our workforce depends on: encryption and key management, public key infrastructure (PKI), secrets management, and shared controls for identity, secure software delivery, and agent execution. You'll turn security needs into production systems and own the reliability and security of what you build, working closely with engineers and partner teams along the way. Attackers increasingly operate at agent speed, so we’re building defenses that can keep pace. Security at Harvey is an engineering discipline, not a gatekeeper function. We build platforms and libraries that make it hard for enginee

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OpenAI
📍 San Francisco• Full-time• Remote• $207K – $385K/yr
1mo ago

About the Team The Safety Systems org is responsible for various safety work to ensure our best models can be safely deployed to the real world to benefit the society and is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency. The Safety Engineering team builds the platforms and tools that make OpenAI’s models safe to use in the real world. We partner closely with researchers, product teams, and policy to turn safety ideas into reliable, scalable systems: measuring risk, enforcing safeguards, and continuously improving how models behave in production. Our work sits at the intersection of product engineering, data, and AI, and directly shapes how millions of people experience OpenAI’s technology. About the Role We’re looking for a self-starter engineer who loves building products in an iterative, fast-moving environment—especially internal tools that unlock real-world impact. In this role, you’ll build full-stack tooling for our Safety Systems teams that directly improves the safety and reliability of OpenAI’s models, including in sensitive areas like mental health and other vulnerable-user protections. Your work will increase the team’s velocity in identifying and fixing safety issues and help tighten the feedback loop between policy, data, and the model training cycle. In this role, you will: Own the end-to-end development of internal tools that help improve the safety of OpenAI’s models (with a focus on areas like mental health and other vulnerable-user protections) Partner closely with Safety Systems researchers, engineers, and model policy creators to understand workflows, pain points, and requirements—and translate them into durable product solutions Build full-stack experiences to support core model policy workflows, such as labeling and inspecting data, analyzing and reviewing failure cases, and surfacing insights for iteration Optimize internal applications f

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HI
HP IQ
📍 San Francisco• Full-time• C$45 – C$51/hr
1mo ago

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role As a Software Engineering Intern on the Systems team at HP IQ, you’ll work on low-level software that sits close to the hardware and helps power intelligent experiences across our products. This role is ideal for students who enjoy understanding how complex systems work under the hood. You’ll have the opportunity to work across multiple layers of the software stack, investigate performance bottlenecks, optimize system behavior, and build software that interacts closely with hardware and system resources. We’re looking for engineers who are curious about more than whether something works — you want to understand how it works, why it performs the way it does, and how to make it better. What You Might Do Build and optimize low-level systems software using languages such as C and C++. Investigate performance bottlenecks and improve the speed, efficiency, and reliability of existing systems. Work on data processing and sensor pipelines that connect software with underlying hardware. Analyze and improve memory usage, resource management, and system performance. Work across multiple lay

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HI
1mo ago

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role As the Software Engineer, Tooling and Development Infrastructure, you will play a critical role in shaping the developer productivity tools and automated testing strategy. You’ll collaborate closely with design, development, and quality teams to plan, design, and implement robust automated tools and services that ensure the quality and reliability of our AI software stack. You will be highly hands-on in your work and collaborate closely with stakeholders. This position offers a unique opportunity to influence the development of cutting-edge automation frameworks, foster a culture of quality, and contribute to the long-term success of the organization. What You Might Do Develop and implement automation frameworks and testing strategies that cover the entire software stack, from backend systems to user-facing features. Identify, evaluate, and integrate new tools that streamline development. This includes everything from code quality tools and to Infrastructure-as-Code (IaC) solutions. Lead continuous improvement efforts for our build, release, and test systems, ensuring a robust and eff

pythonlinuxmachine learning
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1mo ago

P-1607 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. First-party data collection is the entry point for everything downstream. It also runs on other people's websites and inside other people's apps, which raises the bar from a quality, reliability, and development experience. We are looking for an engineer to lead that surface, client and server side. The impact you'll have: Lead the collection stack end to end: browser tag, mobile SDKs, server-side endpoints, and the ingest path behind them Define the schema and versioning contract, including compatibility across SDK versions already in the field Lead identity handling that spans anonymous and authenticated records, across devices and sessions Lead integrations with other CustomerLake products like Profile & Campaign Agents Hold hard budgets on page weight, latency, and failure behavior, so that collection never degrades the host application Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive user & business growth What we look for: 10+ years of engineering experience, including time as a tech lead, or leading other tech leads, on complex enterprise software projects Ownership of an SDK or client library consumed by external developers, including native iOS and Android Deep browser-side JavaScript experience: bundle size, async l

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Coder
📍 United Kingdom• Full-time• Remote
1mo ago

As a Senior Software Engineer on Coder’s Agentic Engineering team, you’ll build and evolve the systems behind our agentic development experience. You’ll work across the agent harness, integrations, and workflows that connect agents with real development environments. You’ll stay hands-on, solve complex technical problems, and work closely with Product, Design, and other engineers to ship reliable agentic experiences. What you’ll do here Design and build production systems in Go, with work across React and TypeScript where needed. Improve agent execution, tool use, context management, streaming, and long-running workflows. Extend our provider-agnostic architecture as models and capabilities change. Build reliable integrations between agents, workspaces, tools, and developer infrastructure. Own projects from implementation through rollout and iteration. Contribute to design reviews, code reviews, and technical discussions. Partner with Product and Design to turn agent capabilities into useful developer experiences. Improve the reliability, performance, and operability of agentic systems. What we’re looking for Strong experience building and operating production software systems. Hands-on experience with Go. Experience with React and TypeScript. Experience building systems around LLMs or agentic workflows. Familiarity with model APIs, tool calling, context management, or agent loops. Good understanding of distributed systems and production reliability. Working knowledge of AWS. Strong problem-solving skills and comfort working through technical ambiguity. Someone who contributes beyond their own code through reviews, collaboration, and knowledge sharing. Bonus tacos if you have Experience building coding agents, developer tools, or cloud development environments. Experience with MCP, agent tools, or multi-agent systems. Experience with remote execution, sandboxing, or isolated compute. Experience building integrations across multiple model providers. Experience with AW

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Coinbase
📍 United States• Remote• $218K – $256.5K/yr
1mo ago

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 Compute Platform team within the Platform Product Group, you'll own the routing layer that connects every service at Coinbase to its customers. The Compute Platform team builds and operates core compute orchestration infrastructure based on CNCF technologies including Istio, Envoy, and Kubernetes. You'll design and deliver net-new routing capabilities that improve the scalability, reliability, and performance of application traffic across our entire fleet. What you'll do: Own the design, development, and automation of routing infrastructure that directs application traffic to Kubernetes backends at scale Build capabilities on top of Envoy-based reverse proxies, Istio gateways, Ambient mesh, and SPIFFE service authentication Drive measurable improvements to latency, reliability, and performance of application routing systems across Coinbase's production environment Shape the paved-road developer experience for operating applications at Coinbase, with emphasis on AI-driven tooling, processes, and support Partner with Security, Reliability, and Observability teams to ensure routing infrastructure meets cross-cutting platform requirements Required Skills and Experience: 8+ years of experience in software engineering and infrastructure roles 5+ years of hands-on engineering experience with application routing technologies including reve

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C
1mo ago

As a Senior Software Engineer on Coder’s Agentic Engineering team, you’ll build and evolve the systems behind our agentic development experience. You’ll work across the agent harness, integrations, and workflows that connect agents with real development environments. You’ll stay hands-on, solve complex technical problems, and work closely with Product, Design, and other engineers to ship reliable agentic experiences. To provide substantive overlap with the team, this position must be in Eastern Time. What you’ll do here Design and build production systems in Go, with work across React and TypeScript where needed. Improve agent execution, tool use, context management, streaming, and long-running workflows. Extend our provider-agnostic architecture as models and capabilities change. Build reliable integrations between agents, workspaces, tools, and developer infrastructure. Own projects from implementation through rollout and iteration. Contribute to design reviews, code reviews, and technical discussions. Partner with Product and Design to turn agent capabilities into useful developer experiences. Improve the reliability, performance, and operability of agentic systems. What we’re looking for Strong experience building and operating production software systems. Hands-on experience with Go. Experience with React and TypeScript. Experience building systems around LLMs or agentic workflows. Familiarity with model APIs, tool calling, context management, or agent loops. Good understanding of distributed systems and production reliability. Working knowledge of AWS. Strong problem-solving skills and comfort working through technical ambiguity. Someone who contributes beyond their own code through reviews, collaboration, and knowledge sharing. Bonus tacos if you have Experience building coding agents, developer tools, or cloud development environments. Experience with MCP, agent tools, or multi-agent systems. Experience with remote execution, sandboxing, or isolated compute.

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C
Coder
📍 United Kingdom• Full-time• Remote• £69K – £126K/yr
1mo ago

As a Senior Software Engineer on Coder’s Engineering team, you’ll build and evolve the systems behind our agentic development experience. You’ll work across the agent harness, integrations, and workflows that connect agents with real development environments. You’ll stay hands-on, solve complex technical problems, and work closely with Product, Design, and other engineers to ship reliable agentic experiences. What you’ll do here Design and build production systems in Go, with work across React and TypeScript where needed. Improve agent execution, tool use, context management, streaming, and long-running workflows. Extend our provider-agnostic architecture as models and capabilities change. Build reliable integrations between agents, workspaces, tools, and developer infrastructure. Own projects from implementation through rollout and iteration. Contribute to design reviews, code reviews, and technical discussions. Partner with Product and Design to turn agent capabilities into useful developer experiences. Improve the reliability, performance, and operability of agentic systems. What we’re looking for Strong experience building and operating production software systems. Hands-on experience with Go. Experience with React and TypeScript. Experience building systems around LLMs or agentic workflows. Familiarity with model APIs, tool calling, context management, or agent loops. Good understanding of distributed systems and production reliability. Working knowledge of AWS. Strong problem-solving skills and comfort working through technical ambiguity. Someone who contributes beyond their own code through reviews, collaboration, and knowledge sharing. Bonus tacos if you have Experience building coding agents, developer tools, or cloud development environments. Experience with MCP, agent tools, or multi-agent systems. Experience with remote execution, sandboxing, or isolated compute. Experience building integrations across multiple model providers. Experience with AWS, Kuber

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