Top Backend Developer Jobs

Design and own the multi-cloud control plane and orchestration layers for agentic workflows. Architect distributed systems with CA tradeoffs, lead cross-team initiatives, ensure operational readiness (on-call, observability, SLOs, blast-radius containment), and ship full-stack vertical slices in React/TypeScript when needed. Drive production-grade infrastructure to scale AI agents from prototypes to enterprise systems.

Design, develop, and maintain SpaceX's in-house test infrastructure and supporting applications for production, integration, and simulation testing. Improve reliability, performance, and safety of test software; collaborate with flight software teams; own product development for test tooling and integrate AI-driven developer tooling.

Build and scale backend services and integrations for autonomous AI agents. Design distributed, stateless and stateful systems, APIs, and infrastructure for reliability, security, and enterprise integration. Drive scalability, CI/CD, container orchestration, multi-cloud deployments, and mentor growing engineering teams.

Backend engineer on the Customer Purchase Service platform building secure, scalable services to manage unified purchase data across channels. Collaborates with product, UX, and engineering to deliver features, create dashboards/monitoring, automate infra and tests, perform resiliency testing, and participate in agile planning and continuous learning.

Design, build, and improve Pinto's backend data platform and pipelines using Node.js/TypeScript, MongoDB, GraphQL, and AWS. Collaborate with research and data teams to integrate, process, and model large, complex product datasets, deliver new features, and ship production-quality services.

Design, build, and improve Pinto's backend data platform using Node.js/TypeScript. Collaborate with research and data teams to implement data pipelines, integrations, and features that process large, complex product and nutrition datasets. Lead initiatives end-to-end, ensure system performance and reliability, and iterate on production services.

Lead design and implementation of backend services, APIs, data pipelines, and distributed systems. Own service lifecycles, CI/CD, container orchestration, observability, and infrastructure-as-code. Diagnose performance and reliability issues, mentor engineers, write ADRs and docs, and collaborate with Product and Design to deliver robust, scalable solutions.

Lead design and implement a multi-tenant SaaS distributed inference platform spanning Cloud, On-Prem, and Edge. Partner with principal architect to translate vision into production, write backend Node.js/TypeScript code, build event-driven microservices, ensure high availability, observability, security, and take end-to-end ownership including deployments and occasional React work.

Build and scale ReadyOn’s real-time backend decision layer. Design and implement decoupled TypeScript/Node.js (NestJS) services, work with Python components, optimize PostgreSQL schemas and queries, manage migrations and concurrency, integrate GraphQL, and collaborate with product, design, and AI teams to deliver high-impact production features. Onsite in San Francisco.

Design, build, and operate scalable, highly concurrent backend services in Go. Architect distributed, fault-tolerant systems, optimize performance and reliability, define APIs and service boundaries, improve observability and operational readiness, and collaborate cross-functionally to support mission-critical autonomous deployments.

Design, develop, and deliver scalable, secure backend services and APIs (REST/GraphQL). Build microservices, integrate with databases (relational and NoSQL), use cloud/container platforms (OpenShift, AWS, Azure, Docker), apply TDD and automated testing, participate in code reviews, and lead or mentor engineering teams to meet business objectives.

Design and build scalable backend services and APIs for HPE EdgeConnect Orchestrator, integrate AI/LLM-driven workflows and Copilot capabilities, work with analytics and telemetry for real-time insights, and ensure quality through testing, debugging, and performance optimization.

Design, implement, and maintain scalable backend services primarily in Clojure; support and modernize legacy Node.js services; collaborate on cloud deployments, infrastructure-as-code, and deployment pipelines; ensure code quality through reviews and debugging; work with cross-functional teams to integrate services and improve reliability.

Lead and mentor engineering teams to define and deliver scalable backend platforms across order management, inventory, connectivity, and other digital products. Drive architecture, platform strategy, technical governance, large multi-year initiatives, and adoption of engineering best practices and AI-assisted development.

Build and maintain backend services across the customer vehicle purchase journey. Design APIs, data models, integrations with third-party providers, and ensure reliability, observability, and correct distributed-systems behavior. Own features end-to-end, participate in code and design reviews, and improve team practices including testing, documentation, and on-call reliability.

Design, build, and operate scalable backend systems and identity/profile services for web, mobile, and vehicle apps. Lead architecture, ensure reliability and performance, own services with 24/7 on-call, collaborate cross-functionally, mentor engineers, enforce best practices, and apply modern tools including AI-assisted development.

Own backend and platform development for hosted and self-hosted deployments: design APIs, runtime architecture, data and event pipelines, edge/serverless services, deployments, observability, and SOC 2–level security and compliance to ensure reliability and scalability.

Design and operate backend systems that ingest, process, store, and serve petabyte-scale video and sensor data. Build high-throughput upload/ingest, processing, indexing, retrieval, and access-control services. Own service quality, latency, uptime, capacity planning, cost, observability, and incident response. Coordinate distributed compute across cloud infrastructure and large GPU fleets to make data movement reliable and performant.

Build and own backend platform systems around AI models: design APIs and database schemas in Python (FastAPI), create connectors, integrations, data pipelines, internal libraries/SDKs, and deployable infrastructure while collaborating with a small engineering and AI team.

Build and maintain API services for a decentralized exchange, design and implement trade routing logic for optimized cross-chain swaps, integrate features with cross-functional teams, monitor system performance and reliability, and troubleshoot trade execution and API issues.

Build and maintain backend API services for a decentralized exchange, design trade routing logic for cross-chain swaps, improve system performance and reliability, and troubleshoot trade execution and API issues.

Own and scale core data systems powering high-throughput ingestion, storage, analytics, and product surfaces. Stabilize write paths, design read-optimized models and partitioning strategies, separate transactional and analytical workloads, enable AI-native analytics, write RFCs, and raise reliability and performance standards across the team.

Design and implement scalable backend services and APIs for SwapRail, including routing engines, execution services, data pipelines, simulation/validation layers, and observability. Integrate on-chain and off-chain data sources, optimize for low-latency high-throughput execution, and collaborate with frontend and wallet teams.

As a Backend Engineer, you will develop resilient applications using Python and FastAPI, working on large-scale data analytics with a focus on AI coding tools.

The Senior Backend Engineer will design and implement infrastructure for an AI system, solve complex data-related problems, and ensure system scalability and security.