Software Product Reliability Engineer Jobs

About the Team Data Platform at OpenAI owns the foundational data stack powering critical product, research, and analytics workflows. We operate some of the largest Spark compute fleets in production; design, and build data lakes and metadata systems on Iceberg and Delta with a vision toward exabyte-scale architecture; run high throughput streaming platforms on Kafka and Flink; provide orchestration with Airflow; and support ML feature engineering tooling such as Chronon. Our mission is to deliver reliable, secure, and efficient data access at scale and accelerate intelligent, AI assisted data workflows. Join us to build and operate these core platforms that underpin OpenAI products, research, and analytics. We’re not just scaling infrastructure – we’re redefining how people interact with data. Our vision includes intelligent interfaces and AI-assisted workflows that make working with data faster, more reliable, and more intuitive. About the Role This role focuses on building and operating data infrastructure that supports massive compute fleets and storage systems, designed for high performance and scalability. You’ll help design, build, and operate the next generation of data infrastructure at OpenAI. You will scale and harden big data compute and storage platforms, build and support high-throughput streaming systems, build and operate low latency data ingestions, enable secure and governed data access for ML and analytics, and design for reliability and performance at extreme scale. You will take full lifecycle ownership: architecture, implementation, production operations, and on-call participation. You’ve supported Spark, Kafka, Flink, Airflow, Trino, or Iceberg as platforms. You’re well-versed in infrastructure tooling like Terraform, experienced in debugging large-scale distributed systems, and excited about solving data infrastructure problems in the AI space. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per wee

About the Team Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. Team serves as the foundation for decision-making at DoorDash. About the Role DoorDash is looking for a Software Engineer, Data to be a technical powerhouse to help us scale our data reliability, data infrastructure, automation and tools to meet growing business needs. You’re excited about this opportunity because you will… Own critical data systems that support multiple products/teams Develop, implement and enforce best practices for data infrastructure and automation Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse Improve the reliability and scalability of our Ingestion, data processing, ETLs, Reporting tools and data ecosystem services Manage a portfolio of data products that deliver high-quality, trustworthy data Help onboard and support other engineers as they join the team We’re excited about you because… 3+ years of professional experience 3+ years experience working in data platform and data engineering or a similar role You have proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Proficiency in programming languages such as Python/Kotlin/Scala 3+ years of experience in ETL orchestration and workflow management tools like Airflow Expert in database fundamentals, SQL, data reliability practices and distributed computing 3+ years of experience with the Distributed data/similar ecosystem (Spark, Presto) and streaming technologies such as Kafka/Flink/Spark Streaming Excellent communication skills and experience working with technical and non-technical teams and knowledge of reporting tools Comfortable working in

About the Team Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing pipelines, data structures, and data warehouse architectures; this team serves as the foundation for decision-making at DoorDash. About the Role DoorDash is looking for a Software Engineer to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs. You're excited about this opportunity because you will… Work with business partners and stakeholders to understand data requirements Work with engineering, product teams and 3rd parties to collect required data Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse Develop and implement data quality checks, conduct QA and implement monitoring routines Improve the reliability and scalability of our ETL processes Manage a portfolio of data products that deliver high-quality, trustworthy data Help onboard and support other engineers as they join the team We're excited about you because… 3+ years of professional experience working in data engineering, business intelligence, or a similar role You have proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Proficiency in programming languages such as Python/Java 3+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP Expert in Database fundamentals, SQL and distributed computing 3+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink. Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS pl

The Software Engineer helps power the technology behind the Topgolf guest experience, building backend services in Go and front-end applications in Vue.js that support our venues and digital products. This role works across the stack, from writing clear specs through API design and user interface implementation, using AI-assisted development practices to deliver reliable, well-tested features as part of a collaborative engineering team. Design, build, and maintain backend services and APIs in Go Build and maintain responsive, user-facing features and components using Vue.js Define and implement API contracts (REST and/or event-driven interfaces) between front-end and backend services Write and maintain automated tests to ensure code quality and reliability across the stack Participate in code reviews and collaborate with product, design, QA, and other engineers to uphold engineering best practices Troubleshoot and resolve production issues, contributing to logging, monitoring, and alerting practices Practice spec-driven development, writing clear technical specs and design docs to guide implementation before writing code Use AI-assisted development tools (e.g., Claude Code, Cursor) to accelerate implementation, testing, and code review while maintaining code quality Experience: 3&#43; Years - Professional software engineering experience 2&#43; Years - Building backend services in Go 2&#43; Years - Building front-end applications with Vue.js 1&#43; Years - Working with AI-assisted development tools (e.g., Claude Code, Cursor) in a professional setting BENEFITS Free Play & 1/2 price food! Health, dental, vision, 401(k) team member match, free mental well-being platform – and that’s just for starters for those who qualify. <a target="_blank" href="https://lockton.egnyte.com/dl/

GAQ327R265 About the Role At Databricks Information Technology, we are a product-led organisation transforming the way we work, from how easy it is to use our IT services to the applications we develop to help us scale seamlessly amid incredible growth. As an IT Software Engineer (Infrastructure) , you will be a core technical contributor on the IT CorpEng Infrastructure team, owning and driving the evolution of our core infrastructure and observability platforms. This role requires a strong software engineering mindset, deep technical breadth across SRE and infrastructure worlds, and the ability to deliver high-quality, scalable solutions for currently "immature" system problems. You will be responsible for building resilient, scalable, and automated infrastructure that empowers our development teams. As a member of the team, you will bridge the gap between software engineering and systems architecture, ensuring our AWS environment is cost-optimised, secure, and highly available. The impact you will have: Automate: Develop and deploy production-grade infrastructure on cloud platforms (AWS preferred) using Infrastructure as Code tools like Terraform or Pulumi. Orchestration: Deploy, manage, and scale containerised workloads using Kubernetes (EKS/AKS), focusing on security, reliability, and resource efficiency. CI/CD Excellence: Build and maintain robust deployment pipelines using GitHub Actions, including both cloud-hosted and self-hosted runners for specialised build requirements. Drive "Observable by Default" Frameworks: Implement infrastructure standards to ensure new internal applications are secure, with logging, metrics, and tracing configured out of the box. Tooling, Scripting & AI: Build internal CLI tools, AI-assisted workflows, and automation scripts to streamline developer workflows and reduce manual toil. Partner Cross-Functionally: Collaborate with Security, Engineering, Infrastructure, and Support teams to execute technical projects aligned with bu

Zoox is developing state-of-the-art autonomous vehicle software for our purpose-built robotaxi. We believe that developing this end-to-end product will not only help us scale our services but will also result in a superior customer experience. In this role, you will own the continuous integration systems that every software engineer at Zoox depends on. More than a thousand engineers depend on it every day, running thousands of CI builds every weekday against one of the largest monorepos in the industry. Our goal is to run them fast, reliably, and cost-efficiently as both the codebase and the organization grow. You will work cross-functionally with various software teams as a force multiplier, finding where the build is slow or wasteful and fixing it at the platform level. This is a critical role to squash inefficiencies in our development process, improve the development experience for everyone in the software organization, and ultimately help us scale our autonomous vehicle fleet to more riders and more cities. In this role, you will: Own CI performance, cost efficiency, and reliability end-to-end, at thousands of builds a day and growing Rethink CI failure analysis, triage, developer support, and incident response with modern AI tools, shifting first-line work off human on-call Work cross-functionally to find where integration slows down and fix it at the platform level, and enable teams to make their CI efficient and reliable Set the technical bar for how CI is built and operated, and mentor the engineers around you Qualifications 5+ years of software engineering and programming experience, including significant experience in platform, infrastructure, or developer tooling Hands-on experience operating a distributed CI system at scale, Buildkite preferred; Jenkins, GitHub Actions, or similar Working familiarity with a modern build system such as

About the Team The Applied team works across research, engineering, product, and design to bring OpenAI’s technology to the world. We seek to learn from deployment and broadly distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. We aim to make our innovative tools globally accessible, transcending geographic, economic, or platform barriers. Our commitment is to facilitate the use of AI to enhance lives, fostered by rigorous insights into how people use our products. About the Role We are seeking Software Engineers (Emerging Talent) to join our Applied Engineering team. You’ll work in a highly iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it’s delivered with safety and reliability in mind. We value engineers who are self-starters, care deeply about the end user experience, and take pride in building products to solve customer needs. In this role, you will: Own the development of new customer-facing ChatGPT and OpenAI API features and product experiences end-to-end Talk to users to understand their problems and design solutions to address them Collaborate with a cross-functional team of engineers, researchers, product managers, designers, and operations folks to create cutting-edge products Optimize applications for speed and scale Create a diverse and inclusive culture that makes all feel welcome. Your background looks something like: Bachelor's or Master’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 0-1 years of experience in software engineering or a relevant field Proficiency with JavaScript, React, and some backend languages (we use Python) Some experience with relational databases like Postgres/MySQL Interest in AI/ML (direct experience not required) Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadl

About the Team Customer education helps customers and partners build the practical skills and confidence to use AI and OpenAI products safely and effectively. The team focuses on role- and skill-based learning paths, practical content, and product experiences that accelerate learning in the workplace. It brings together learning and enablement expertise, field insight, product signals, and measurement to improve learner and business outcomes. Together, these experiences will help enterprise users build practical AI skills, apply them with confidence in their work, and demonstrate what they can do. Employers will gain a clearer view of workforce skills and progress, helping them recognize capability, focus development where it matters most, and build confidence in workforce readiness. About the Role We’re looking for a full-stack engineer to define and build a new class of learning experiences. This is an early-stage product area where technical judgment, product sense, and learner empathy are critical. You will be setting a technical vision for how people use AI to learn how to use AI, safely and beneficially. This is a hands-on, 0-1 product engineering role with broad technical and product ownership. You’ll set direction, make foundational decisions, and ship the first versions of experiences that can grow into the default way people learn at work. You will drive full-stack product experiences end to end, from prototype through launch, instrumentation, iteration, and production hardening. The work spans interaction design, frontend implementation, backend APIs and services, learner state, content and runtime integration, telemetry, evaluation, reliability, safety, accessibility, and launch readiness. You’ll work closely with our education, GTM, and engineering teams to translate how people learn into products people want to use. bring role- and skill-based learning paths into the product, designing coaching, feedback, and adaptive support which responds to each lea

Location Qualifications : Ghent (hybrid 2x week in office) or Bucharest (hybrid 2x week in office) About the position As a Backend Engineer in one of our AI-focused teams, you will help build intelligent, AI-powered features that enhance how sales teams work. You’ll develop and maintain serverless, event-driven systems and APIs that integrate with third-party services. Working closely with senior engineers, you’ll take ownership of well-scoped features and contribute to technical and product discussions, helping design solutions that use modern AI capabilities to deliver real value to users. Rather than a monolithic environment, you’ll work within an ecosystem of services and help improve their reliability and quality. Your work will shape the end-user experience for all our customers. Key Responsibilities Build AI-powered features that use large language models to automate and enhance user workflows. Contribute to improving our development processes and environments. Build and maintain integrations with third-party platforms and APIs. Help implement and maintain our growing ecosystem of microservices . Work in teams where code reviews and pair programming are part of our strong engineering culture, learning from experienced engineers and sharing what you know. Apply a security-first approach to the features and changes you deliver. Grow your technical and architectural skills through mentoring from senior engineers, and support more junior colleagues where you can. Keep the bigger picture in mind, because your work will reach 100,000 users globally. Are you our next Backend Engineer? Must haves 3+ years developing production-ready backend systems. Solid proficiency in TypeScript and Node.js . Experience with JVM languages is a plus. Interest in or early experience with AI/LLM integration and p rompt engineering . Working knowledge of event-driven systems (message queues, asynchronous workflows). Experience with serverless architectures and state

Staff Software Engineer - Testing & Automation Exceptional software engineering is challenging. Amplifying it to ensure that multiple teams can concurrently create and manage a vast, intricate product escalates the complexity. As a Staff Engineer within the Verification Platform team at Sumo Logic, you will drive the implementation and optimization for our verification platform as well as the modernization of our CI/CD pipelines. Your mission is to develop and sustain automated tooling for all testing, verification, and functional requirements, leveraging AI reasoning and machine learning models to predict and prevent delivery issues, while integrating advanced security validation and non-functional requirements into our delivery lifecycle. You will contribute significantly to establishing automated delivery pipelines, empowering autonomous teams to create independently deployable services, and progressing Sumo Logic’s internal Platform-as-a-Service. This role sits at the intersection of Platform Engineering, Quality Engineering, DevSecOps, and Developer Productivity, helping teams deliver secure, reliable, and independently deployable services at scale. Responsibilities Strategy & Leadership: Drive technical direction and design for a modern Quality Engineering platform, driving the adoption of AI reasoning for enhanced automation of all testing, verification, and functional requirements. Pipeline Modernization: Lead the modernization of CI/CD pipelines to include automated security validation, compliance checks, and other critical non-functional requirements, with a focus on integrating AI/ML for intelligent pipeline optimization and risk prediction. Framework Ownership: Own the delivery pipeline and release automation framework for all Sumo services, ensuring improvements in developer productivity, deployment frequency, and release reliability. Cross-Team Collaboration: Educate and collaborate with teams during design and development phases to ensur

About the Team Our London-based team builds the backend systems that help ChatGPT scale reliably. We work on infrastructure close to the product, partnering with engineering teams to improve the performance, resilience, and operability of critical user-facing systems. Our work combines backend software engineering with distributed systems and production reliability. We build shared capabilities, improve high-traffic workflows, and make it easier to introduce new product functionality without compromising performance or availability. About the Role This role is for software engineers who want to build and evolve backend systems operating at significant scale. You’ll write production code, design shared infrastructure, and solve technical challenges involving performance, distributed systems, and system reliability. You’ll also own how those systems behave in production: how changes are rolled out, how issues are detected and diagnosed, and how recurring operational problems can be addressed through better software and system design. This is a strong fit for backend engineers who enjoy complex systems problems and want a direct connection between the infrastructure they build and the experience of ChatGPT users. In this role, you will: Design, build, and maintain backend systems supporting high-traffic ChatGPT experiences. Develop shared services, APIs, and infrastructure that help product teams build and launch new capabilities safely. Improve the performance, scalability, and efficiency of production systems as usage and product complexity grow. Build and improve systems for asynchronous processing and other large-scale backend workloads. Lead architectural improvements and infrastructure migrations while maintaining correctness, compatibility, and safe rollout and rollback. Strengthen monitoring, alerting, and diagnostics to detect problems early and reduce customer impact. Participate in on-call, incident response, and root-cause analysis, and turn operational lea

Many engineering leadership roles focus on execution and technology. This one is different — it's strategic. You own business outcomes, and you partner as an equal with Product Management to shape the vision and the roadmap, not just deliver against it. As VP of Software Engineering, you lead a global engineering organization across several teams and products within a business domain in Diligent's Technology organization. You lead through Directors and managers, set the technical and organizational strategy, and are accountable for delivery, reliability, security, and the overall performance of the organization. AI-Native Is the Mandate, Not a Side Project Diligent is an AI-native company, and engineering leads the way. You embed AI-native practices across the software development lifecycle, stand up reusable platform and AI capabilities, and champion the adoption of AI tooling and agentic workflows to accelerate our own engineering productivity — with real adoption and impact targets, and clear guardrails for security, quality, data privacy, and responsible AI. Drive Execution You deliver production-grade systems, not experiments. You balance speed with rigor — security, privacy, and compliance are non-negotiable — and you operate across multiple concurrent initiatives with clear prioritization. The Organization You Build You hire, coach, and develop senior engineering leaders and experts. You design the org for scale across regions, plan the workforce against budget and delivery commitments, and build an inclusive, high-performing culture grounded in accountability, experimentation, and continuous improvement. The Rooms You're In You partner as an equal with Product Management to shape the vision, roadmap, and product priorities, and work closely with Executive Leadership, UX, Security, Data, and Customer teams. You represent engineering at executive fo

Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: We are trusted by over 500 million active users every month across 190+ countries We identify over 15 billion calls daily, helping users avoid spam and scams We are powered by a team of 400+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. The role: As a Senior Software Engineer, Backend you will be a pivotal contributor in shaping Truecaller's technology, driving demonstrable improvements to the user experience and business profitability. Your typical day or week will be filled with a blend of technical challenges, collaboration, and innovation. What you’ll do: Coding & Development : A significant portion of your day will involve hands-on coding, building scalable backend services, APIs, and microservices that power Truecaller’s Ads platform. You’ll focus on high-availability, low-latency systems using modern tech stacks. Code Reviews : Review code written by peers to maintain high-quality standards, share best practices, and continuously improve the codebase. Problem Solving : Troubleshoot complex technical issues, optimize existing systems for better performance, and ensure high system reliability. Collaborating with Cross-Functional Teams : Work closely with product managers, front-end developers, data scientists, and other stakeholders to ensure the features you build align with business needs and provide a seamless user experience. Design & Architecture Discussions : You

About Syllo Syllo is on a mission to transform litigation. Our product is a unified litigation platform that enables lawyers and paralegals to safely harness the power of language models and agentic AI throughout the litigation life cycle. Since going to market, we have gained a diverse group of enterprise customers, including some of the biggest law firms and corporations in the country, and we are quickly expanding. By reducing the expense of litigation industry-wide, we aim to improve access to high-quality representation and promote the alignment of legal outcomes with merit. About the Role As we continue to scale our AI platform, we're investing in our own inference stack to deliver best-in-class performance, reliability, cost efficiency, and flexibility across the latest generation of open-source language models. We're looking for a Staff Software Engineer to spearhead this effort. You'll define the architecture, evaluate emerging technologies, and build the systems that power model serving. You'll partner closely with machine learning, infrastructure, and product engineering to establish the foundation for how AI models are deployed, optimized, monitored, and operated in production. This is a highly hands-on technical role. You'll spend the majority of your time designing, building, and optimizing production systems while helping shape our long-term AI infrastructure strategy. Responsibilities Lead the design and development of our production inference platform. Define the technical roadmap for inference infrastructure, model serving, and runtime optimization. Build and operate scalable, cost-effective systems for serving large language models in production. Evaluate and integrate modern inference technologies, frameworks, and serving runtimes. Optimize latency, throughput, GPU utilization, memory efficiency, and infrastructure cost. Develop systems for model deployment, traffic routing, autoscaling, scheduling, observabil

About the Team The Storage teams build and operate online stateful systems and abstractions that are reliable, efficient, secure and easy to use for DoorDash Engineering. The teams are responsible for understanding Product Engineering’s evolving needs and developing platform and infrastructure capabilities to serve them. The team currently supports CockroachDB, Cassandra, Kafka and Redis as well as data abstraction services to reduce the complexity of interacting with storage systems for Product Engineers. About the Role The Storage team is building and operating a high-performance, scalable, and reliable data abstraction layer that optimizes both efficiency and reliability. Our goal is to create a platform that manages itself and fades into the background—empowering engineers to focus on delivering product experiences our customers love. This role is available across two teams within Storage, each solving unique and high-impact challenges: One team owns DoorDash’s vector storage infrastructure—operating and evolving vector search systems and future storage indexing systems. You’ll tackle challenges in distributed systems, performance, and reliability, turning complex, stateful indexing workloads into scalable, developer-friendly services used across the company. One team builds and operates the distributed data platform powering DoorDash's largest stateful workloads -- including Cassandra, which backs critical product surfaces across DoorDash, Wolt, and Roo. You'll design high-throughput data abstractions, smart clients, and platform services that make distributed data reliable and easy to work with at multi-petabyte, multi-million-QPS scale, with opportunities to go deep on distributed systems internals and contribute to the open-source Cassandra ecosystem. If you're passionate about distributed systems, developer experience, and building foundational infrastructure at scale, we'd love to hear from you. You must be located in San Francisco, Sunnyvale, Seattle, or