Backend in United States

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. Replit is a software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit helps more people build and ship software. About the Team Product Platform builds and owns the shared foundations the rest of Replit is built on: backend infrastructure, connectors, product primitives, and the frontend platform. When these foundations are solid, every other team moves faster. This role goes deep on the frontend platform: the architecture and platform layer behind every core product surface. The work is high-leverage and horizontal, and gives you exposure across the whole of engineering. We are a small, collaborative team that values curiosity and clear thinking over pedigree, and we care more about how you reason and build than the route you took to get here. If you like making other engineers faster, you will fit in here. About The Role As a Product Engineer focusing on the frontend platform , you will own the frontend architecture behind core product experiences: application frameworks, the API and data layer, testing infrastructure, and client performance. The goal is simple: product teams ship quickly and reliably on what you build. The team’s work is guided by a few simple questions: Is our core frontend architecture (frameworks, state, routing, SSR/CSR) sound, consistent, and easy to build on? Is our API and data layer reliable and ergonomic, with clear contracts, sensible error handling, and effective caching? Are user-facing surfaces fast and well-instrumented, with testing infrastructure that keeps them safe to change? Is the codebase easy to navigate, change, and extend, including for AI coding agents? You’ll partner closely with engineering, produc

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. Job Summary We are looking for an experienced Growth Infrastructure Engineer to build and maintain the technical backbone that enables scalable growth experiments, high-performance data pipelines, and automated systems that drive user acquisition, engagement, and product iteration. This role sits at the intersection of growth, product, and infrastructure — combining deep technical engineering with experimentation and data-driven optimization. You will collaborate with product, data science, and backend teams to ensure that growth initiatives run smoothly and scale efficiently across systems. Key Responsibilities Growth Infrastructure & Systems Design, implement, and maintain scalable infrastructure that supports growth and experimentation needs. Build and optimize analytics pipelines to capture key product and growth metrics (acquisition, activation, retention, etc.). Develop automated workflows for user onboarding, campaign delivery, and performance tracking. Experimentation & Optimization Support A/B testing frameworks and integrate them into production systems. Enable reliable data collection and evaluation for growth experiments. Automate deployment and rollout of growth feature flags and tests. Cross-Functional Collaboration Partner with Growth Product Managers, Data Engineers, and Analysts to define technical requirements for growth initiatives. Translate business goals into technical specifications and system designs. Provide guidance on performance, reliability, and scalability trade-offs. Monitoring & Reliability Implement monitoring and alerting for growth infrastructure services. Troubleshoot production issues and optimize for uptime and performance. Ensure data quality and consistency for report

The Language Tools team enables ~1,500 Datadog developers to build, test, and package millions of lines of Go, Python, Java, Rust, and TypeScript in our backend monorepo. Our success is measured by their productivity and satisfaction. They use the tools that we develop and support several times a day, in both development and CI environments. We use the Bazel open source build system as a foundation. The team is growing rapidly, both with Datadog and as we absorb other repositories into the monorepo. As a senior software engineer on the team, you will own projects from start to finish, both greenfield and brownfield. You will gain first-hand understanding of what Datadog developers need, and inform our roadmap. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Invent build, test and packaging tools that are simpler and more reliable to use. Push performance and cost efficiency at scale, raising cache hit rates and cutting CI times and compute spend across millions of targets. Treat CI like SREs treat prod, making sure our pipelines are green and fast. Prepare, run, and finish complex migrations. Contribute back to the Bazel ecosystem, upstreaming fixes and shaping features we depend on. Who You Are: An expert in Bazel and/or one of the languages listed above. A well-rounded engineer. You must broadly understand the various types of software projects that are built, tested, and packaged with our tools. Both careful and fearless. The changes we make impact the velocity of hundreds of engineers. They are risky but necessary. User-focused. We help Datadog engineers to use the tools that we develop, and continuously improve their usability, so they don’t need our help the next time. Ideally, you have ex

At Datadog, we're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale, enabling seamless collaboration and problem-solving among Dev, Ops, and Security teams globally for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. APM at Datadog is on its way to redefine how users interact with their telemetry. We are integrating intelligence directly into troubleshooting workflows to help engineers find root causes faster, navigate complex distributed systems seamlessly, and optimize application performance with minimal cognitive load. APM provides deep visibility from end-user interactions to backend services and we are now expanding this foundation with new AI-driven insights, guidance, and automation. As a Product Manager II for APM, you will work with world-class engineers, designers, and partner product teams to shape the future of Distributed Tracing, Performance Analysis, and Intelligent Troubleshooting. You will help build advanced capabilities that scale to thousands of customers and make sophisticated observability workflows accessible to every engineer, from experts to beginners. 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 will do: Develop a deep understanding of APM customers, their performance challenges, telemetry workflows, and competitors Lead conversations with design partners and strategic customers to uncover real-world performance issues, validate product assumptions, and guide solutions from early prototypes through General Availability Define and deliver the next generation of APM features with engineering and design, especially agentic on

Senior Product Manager - Search Datadog’s Search team helps users – both human and agents – find answers to their questions. Search is a critical function in Datadog, and touches many product surfaces: the query editors in product homepages and dashboards, search bars for finding relevant assets, the global cmd+k navigation search, and the MCP tools that our Bits AI agent uses to respond to natural language prompts. Search is a full-stack team: owning user-facing search components, backend search ranking systems, and machine learning models to produce recommendations. The Search team is relatively new, and still growing. We have recently built out agentic search tools, and we are looking for a leader to help us expand to ambitious orchestration systems that deliver accurate results, and proactive recommendations across both keyword and semantic search. Beyond this, you’ll have room to influence how Datadog thinks about Search as a strategic surface. What you’ll do: Define and deliver how Datadog's AI agents discover the right context and tools to answer natural-language questions accurately and at scale Stay on top of industry trends in UI and agentic search experiences and capabilities Collaborate with Applied AI teams to integrate ranking, personalization, and recommendation models that scale across both human and agentic users Define and monitor KPIs for search quality, adoption, and downstream impact on user productivity; use them to drive data-informed decision making Engage directly with customers and internal product teams to deeply understand search journeys across query editors, global navigation, and natural-language agent interfaces Who you are: You have experience with search, ranking, or recommendation systems You are familiar with or very interested in MCP servers and differences between human and agentic UX You have a sharp eye for design and strong opinions on the micro-interactions — keyboard navigation, autocomplete behavior, loading

About the Team API Enterprise Controls is part of the API Infrastructure organization and owns the platform capabilities that help developers, startups, and enterprises adopt the OpenAI API securely and confidently. We build the systems underneath our APIs and developer platform across authentication and identity, service accounts and key management, secure networking, compliance, auditability, observability, and operational controls. Our users are developers and teams running critical applications on OpenAI, and we partner closely with Product, go-to-market, security, and infrastructure teams to turn their most important needs into reliable, intuitive platform capabilities. About the Role We are looking for an exceptional backend software engineer to help define and ship the enterprise capabilities our API Platform needs to scale.; this is a product-engineering role grounded in deep backend systems. You will work across databases, streaming systems, request routing, authentication, and developer-facing APIs while bringing strong product judgment, developer empathy, and attention to the small details that make a platform easier to understand, trust, and operate. You will lead large cross-functional initiatives, work closely with Product and go-to-market teams, engage directly with sophisticated users, and carry ambiguous needs from discovery through design, launch, and iteration. In this role, you will: Own backend product capabilities end to end across authentication and identity, service accounts and key controls, secure networking, compliance, observability, and operational workflows. Partner with Product, go-to-market, security, infrastructure teams, and sophisticated customers to identify needs, shape the roadmap, and lead large cross-functional projects from design through launch. Design developer-facing APIs, system behavior, configuration, error handling, safe defaults, auditing, and notifications with exceptional care for the details that define a great dev

About the Team API Agents builds the shared agent harness, tools, and infrastructure that turn OpenAI’s frontier models into systems that can reliably complete real work. We carry the capabilities behind Codex into a much broader set of products and workflows across software engineering, research, finance, healthcare, enterprise operations, and more. Our work spans search and connected context, computer use, memory, delegation and multi-agent coordination, and safe execution. Sitting at the intersection of Research, Codex, infrastructure, and applied product teams, we build reusable agent capabilities that compound across the ecosystem. About the Role We are looking for an experienced backend software engineer to build the core systems behind the next generation of agents. You will design reliable services and abstractions that help agents find the right context, use tools and computers, retain knowledge, coordinate over long-running workflows, and take action safely. The role combines deep backend and infrastructure work with strong product judgment, with opportunities to work across agent runtimes, orchestration, search, execution environments, identity and permissions, observability, and evaluations. This is software and systems engineering rather than model training: success comes from strong backend fundamentals, high agency, and the ability to turn fast-moving research capabilities into dependable production primitives. In this role, you will: Design, build, and operate the shared agent harness and backend infrastructure that power long-running, high-value workflows across OpenAI and third-party products. Build reusable capabilities across search and connected context, computer use, memory, tool execution, delegation, subagents, and multi-agent orchestration. Establish the foundations agents need to operate safely in production, including secure execution environments, identity and permissions, observability, evaluations, reliability, and cost and latency effi

About the Team API Multimodal builds the developer-facing products and infrastructure that bring OpenAI’s image, audio, and real-time model capabilities into the world. We are responsible for high-scale APIs for image generation, speech transcription, speech generation, and low-latency voice interactions. We partner closely with Research and Inference to bring frontier model capabilities to developers and use customer feedback to improve our models. About the Role As a software engineer on API Multimodal, you will build and operate the products and distributed systems behind OpenAI’s image, audio, and real-time APIs. You will work across model integration, API design, and production infrastructure to turn new research capabilities into reliable developer experiences. This hands-on role combines backend and systems depth with product judgment: you will own projects end to end, partner with Research, Inference, and Safety, and help make multimodal AI useful at scale. Model training experience is not required. In this role, you will: Design, build, and ship developer-facing APIs and backend services that serve frontier models. Architect low-latency streaming, request, session, and model integration systems that make complex multimodal interactions reliable and intuitive at scale. Work directly with Research to bring new model capabilities into production, shape the systems around them, and incorporate feedback from real-world developers and customers. Own the availability, latency, scalability, and cost efficiency of the services you build. Own projects from technical design and implementation through launch and ongoing iteration, while raising the team’s engineering standards. Your background might look something like: 7+ years of professional experience, excluding internships, in backend, infrastructure, platform, or product engineering roles. A track record of designing, building, and operating production backend services, developer-facing APIs, or distributed syste

About the Team OpenAI's research training infrastructure powers how our frontier models are trained and evaluated. The Simulation team sits at the intersection between the agentic harness that powers OpenAI's products and the research infrastructure where GPT-next is trained, ensuring that our model's training environment is as realistic as possible. This team owns the integration layer that connects our production harness capabilities into the training stack. The work is highly cross-functional and high leverage: researchers depend on it to run experiments and evaluations reliably as well as to develop the next generation of harness capabilities. Failures in this surface can materially affect training velocity and correctness. About the Role We're looking for a Principal Software Engineer to lead the architecture and evolution of the Simulation Platform. You'll own a critical interface between research and engineering, building the systems, APIs, and operational patterns that let researchers use agentic coding infrastructure safely and effectively in training environments. This role is ideal for a senior backend or infrastructure engineer with strong technical judgment, product sense for highly technical users, and the ability to drive execution across multiple teams. The highest-leverage work is building robust infrastructure that supports and accelerates research without compromising engineering quality. In this role, you will Design, build, and evolve the integration between the Codex harness that powers OpenAI's products and research training infrastructure used for training GPT-next Build a platform for our LLMs to train and be evaluated in simulated environments that mimic their deployment setting as closely as possible, on every axis: agentic harness, compute substrate, timing, tools, data sources, humans in the loop, and more Own major integration surfaces end-to-end, from architecture and API design through rollout, operations, and long-term maintenance Bu

Overview: The Data Acquisition team within the Foundations organization at OpenAI is responsible for all aspects of data collection to support our model training operations. Our team manages web crawling and GPTBot services and works closely with Data Processing, Architecture, and Scaling teams. We are looking for a skilled Software Engineer to join our Data Acquisition team. Responsibilities: Own and lead engineering projects in the area of data acquisition including web crawling, data ingestion, and search. Collaborate with other sub-teams, such as Data Processing, Architecture, and Scaling, to ensure smooth data flow and system operability. Work closely with the legal team to handle any compliance or data privacy-related matters. Develop and deploy highly scalable distributed systems capable of handling petabytes of data. Architect and implement algorithms for data indexing and search capabilities. Build and maintain backend services for data storage, including work with key-value databases and synchronization. Deploy solutions in a Kubernetes Infrastructure-as-Code environment and perform routine system checks. Conduct and analyze experiments on data to provide insights into system performance. Qualifications: BS/MS/PhD in Computer Science or a related field. 4+ years of industry experience in software development. Experience with large web crawlers a plus Strong expertise in large stateful distributed systems and data processing. Proficiency in Kubernetes, and Infrastructure-as-Code concepts. Willingness and enthusiasm for trying new approaches and technologies. Ability to handle multiple tasks and adapt to changing priorities. Strong communication skills, both written and verbal. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an

About the Team ChatGPT is evolving from answering questions to becoming a deeply personalized assistant that helps people discover, create, and make decisions across everyday life. We're building new multimodal product experiences that combine language, images, personalization, and interactive interfaces to help millions of users accomplish tasks in entirely new ways. This team sits at the intersection of AI research, product engineering, design, and consumer experiences. We move quickly, ship frequently, and work on products that define how people interact with AI every day. About the Role We're looking for exceptional full stack product engineers who love building polished consumer experiences from the ground up. You'll work across frontend, backend, AI-powered workflows, and rich interactive interfaces to create new product experiences that blend conversation, visual understanding, personalization, and commerce. You'll collaborate closely with designers, researchers, product managers, and model teams to rapidly prototype, launch, and iterate on experiences used by millions of people. This is an opportunity to help invent entirely new interaction paradigms—not just build traditional web applications. In This Role, You Will Design and build end-to-end product experiences across web services, APIs, and modern frontend applications. Partner closely with product, design, and research to rapidly prototype and launch new AI-native experiences. Build intuitive, performant interfaces that make advanced AI capabilities feel simple and delightful. Develop scalable backend systems that power personalized, real-time product experiences. Work with multimodal capabilities including text, images, and interactive UI components. Iterate quickly using user feedback, experimentation, and product metrics. Help define engineering standards, architecture, and technical direction for a fast-growing product area. You Might Thrive If You Have significant experience building consumer-facin

About the team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the role As an Account Director focused on Insurance you will own executive-level relationships with leading Insurance organizations. You’ll help these companies safely and effectively deploy OpenAI’s technology to accelerate financial data analysis, automate backend operations, drive AI-powered research, and personalize customer engagement. This role blends literacy, technical depth, business acumen, and relationship-driven enterprise sales. You will collaborate closely with researchers, engineers, and financial services solution strategists to design secure, compliant, and high-impact AI deployments. This role is based in New York City. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you’ll: Manage a focused portfolio of Financial Services, specifically Insurance accounts, developing long-term strategic account plans. Lead complex, multi-stakeholder sales cycles. Partner with solutions and research engineering to design pilots that demonstrate measurable business impact. Collaborate with compliance, privacy, and security teams to ensure responsible deployment of AI in regulated environments. Own a revenue and consumption target; manage forecasts and pipeline reporting. Monitor industry and regulatory trends to guide customer and product strategy. Represent Ope

About the Team OpenAI’s API Multicloud team is responsible for extending OpenAI’s API platform into strategic cloud environments, starting with AWS . The team’s mission is to distribute OpenAI’s API broadly and safely by enabling key API technologies in cloud-native environments, in close partnership with Amazon and internal teams across Codex, Research, Safety Systems, and Applied. The team is focused on bringing core developer and enterprise capabilities into cloud-native environments, including cloud-hosted Codex, model customization / post-training as a service, and new stateful runtime environments for agentic workloads. This work sits at the intersection of production ML systems, developer platforms, model behavior, and large-scale infrastructure. About the Role We’re looking for a backend engineer who can quickly understand OpenAI’s models, products, and systems, then adapt first-party deployments for other cloud platforms. You’ll build backend services, APIs, SDK integrations, authentication flows, and cloud service infrastructure that let developers use OpenAI capabilities in the cloud environments where they already build. This role involves working across teams, sometimes embedded with partner product groups, to ship products quickly and across multiple platforms at the same time. It’s a strong fit for engineers who have built developer tools, especially AI-powered tools, communicate clearly across technical boundaries, and can shape architectures that support different deployment models; experience building cloud services is a strong plus. In this role, you will: Build backend and infrastructure systems that extend OpenAI’s API platform into cloud-native environments, like AWS. Design and ship cloud-contained products that allow customers to use OpenAI capabilities while keeping workloads and data within cloud environments. Help stand up cloud-hosted Codex experiences powered by the OpenAI Responses API. Build the infrastructure and runtime abstractions

Join the engineering teams that bring OpenAI’s ideas safely to the world!! The Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role We’re building the observability product for OpenAI—from scalable infrastructure to a rich, AI-powered UI. Our systems ingest over petabytes of logs and billions of time series metrics across our fleet. We're now layering intelligence on top—think agents that summarize SEVs, auto-generate dashboards, or help engineers debug through notebook-like UIs. We’re hiring software engineers across the stack—infra, backend, and product. You’ll join a small, gritty team building both foundational infra and novel internal tools to make OpenAI's production systems reliable, performant, and observable. What You’ll Do Own core observability infrastructure, including distributed logging, time series, and trace storage Build AI-native tools that help engineers detect, understand, and resolve issues autonomously. Contribute to UI experiences like dashboards, notebooking, or interactive debugging Collaborate closely with engineers, researchers, user ops, and other teams across the company to build the next generation observability product You Might Be a Fit If You: Have operated large-scale distributed systems in production. ( especially logging systems or some other time series databases) Thrive in ambiguous environments and roll up your sleeves to solve unscoped problems. Have full-stack chops or product sensibilities—you're excited to build real tools people use. Have strong fundamentals in systems, networking, and cloud infra (Kubernetes, AWS, etc). Bonus : built or contributed to observability systems (e.g. Prometheus, OpenTelemetry, etc). Why This Team We’re b

About the Team The Cloud Agents team builds product infrastructure for long-running agents in the cloud: orchestration, sandboxing and isolation, secure environment connectivity, secrets and identity, observability, reliability, and cost controls. These agents securely connect to diverse developer and customer environments and use tools to accomplish goals. We partner closely with product, research, and infrastructure teams to turn agentic capabilities into dependable platforms for OpenAI products and developers building on OpenAI. About the Role We are looking for an experienced software engineer to help build and scale our cloud agent platform. You will design and operate systems for orchestrating agents at scale. You will work closely with product engineers on ChatGPT, API, and Codex to define the right abstractions and enable them to ship products quickly. Strong backend or infrastructure experience is important; experience with Python, Rust, distributed systems, cloud infrastructure, or product platforms is especially helpful. In this role, you will: Design and scale the orchestration, sandboxing and storage systems that run agentic workloads for Codex, ChatGPT, and the OpenAI API. Partner with product engineers to build a platform that enables them to ship quickly and turn feedback into robust abstractions. Improve reliability, security, performance, and cost efficiency for long-running agents. Deploy services that can operate across different environments and clouds. Your background might look something like: 9+ years of professional engineering experience, excluding internships, in relevant roles at technology and product-driven companies. Experience leading large-scale backend, platform, or infrastructure projects from ambiguous problem statements to production systems. Proficiency in one or more backend languages such as Python, Go, Rust, TypeScript, or similar, and the ability to move across service, platform, and product boundaries. Strong understanding