Top Backend Developer Jobs

Design, build, and maintain scalable backend services in Java (Spring) and Python (Django/FastAPI). Implement REST/GraphQL APIs, optimize SQL and NoSQL databases, develop microservices, ensure security (OAuth2/JWT), write tests, improve performance, and collaborate with frontend and DevOps teams in Agile processes.

Design, develop, and maintain Java-based backend services using Spring frameworks and Kafka. Build scalable RESTful APIs, work with MySQL/MongoDB, containerize with Docker, deploy on Kubernetes, and follow CI/CD and Agile practices while collaborating in a team.

Build and maintain server-side logic, databases, and AWS cloud integrations using Python and Java. Design scalable APIs, optimize performance and security, implement cloud-native architectures, and produce technical documentation for high-availability, distributed systems.

Design and build backend solutions following architecture and best practices. Develop APIs, web services, database schemas, PL/SQL/stored procedures (DB2/Oracle). Collaborate with senior engineers, participate in code reviews, testing, and coordinate technical delivery across teams. Support CI/CD and improve code quality.

Design, build, and maintain operational and analytical data platform capabilities using Java Spring Batch, Python, AWS, Oracle, and Snowflake. Deliver end-to-end development, production rollout, and support; improve financial product data quality, modeling, and SQL performance; collaborate with business partners and squads.

Design, build, and operate backend systems for a mortgage lending platform. Own backend responsibilities from design through production, focusing on scalability, performance, reliability, and multi-service architectures while collaborating with product and full-stack engineers.

Design and build scalable APIs for backend-driven user experiences using Go, while collaborating with product and engineering teams.

As a Founding Software Engineer, you'll design, develop, and maintain robust backend systems, create user-facing AI features, and collaborate with teams to enhance healthcare tools.

Design, build, and scale highly available backend services and APIs for a D2C ordering and storefront platform. Collaborate with front-end engineers and product teams to implement merchant configurations, ordering flows, and performant distributed systems.

Build and maintain the core backend product: design and implement features, take ownership of end-to-end outcomes, iterate and fix bugs without a QA team, collaborate with product on scoping, and contribute to company culture and hiring.

Build and operate durable, distributed enterprise systems: implement Java services, Temporal workflows, and Kafka pipelines; design and run Kubernetes-native infrastructure on AWS; lead migrations and platform modernization; consult with clients, ensure CI/CD/GitOps delivery, and enable observability and reliability for application teams.

Lead design and implementation of backend services and distributed systems for real-time AI automation. Build scalable, observable microservices, streaming data pipelines, and async event-driven architectures. Collaborate across frontend, product, and DevOps to ensure performance, reliability, and seamless integration at scale.

Design, build, and maintain scalable backend services and APIs for millions of users. Collaborate with product and UX, implement automated testing, participate in on-call incident management, and mentor teammates while delivering complex distributed-system projects.

As a Software Engineer, you'll design and develop microservices using a cloud-native tech stack, with a focus on financial services and secure systems.

Build and scale mission-critical backend and infrastructure for a medical AI platform. Architect systems for service reliability and data platforms, ensuring performance and security for sensitive medical data. Own end-to-end projects across products, collaborating with a small engineering team and driving high-impact outcomes.

Design, build, and maintain large-scale data infrastructure and backend systems to power ROI measurement and automation. Collaborate with data scientists, health economists, and product to automate claims ingestion, standardize pipelines, expand targeted enrollment, integrate AI-driven solutions, and improve system maintainability, availability, and performance. Mentor junior engineers and contribute to architecture and deployment practices.

Design, build, and maintain server-side application logic, databases, and APIs. Ensure performance, scalability, and security; debug issues; collaborate with front-end and product teams; stay current with technology trends.

Design, build, and maintain server-side application logic, databases, and APIs. Optimize performance and scalability, implement security measures, debug issues, and collaborate with frontend and product teams to deliver reliable backend systems.

Build and maintain production backend services at scale, develop new features and integrations, debug production issues, ensure API backward compatibility, implement efficient auto-scaling, improve tooling and engineering standards, and participate in on-call rotation.

Build and own backend surfaces for Plane: APIs, data models, migrations, real-time sync (CDC/event streams), caching, and query performance. Instrument, monitor, and debug production incidents; collaborate with product and frontend teams across locations.

Own and build Node.js/TypeScript backend services that power integrations, importers, queues, and developer-facing OAuth surfaces. Design reliable queue/worker systems (retries, idempotency, backpressure), integrate third-party APIs, collaborate with Django engineers, and repair partial failures to ensure safe, auditable data migrations and integrations.

Design and build backend systems and internal tooling for AI-native products: secure data access for agents, agent orchestration, evaluation/observability for non-deterministic outputs, performance and latency optimization, and end-to-end feature ownership from concept to production.

Design, build, and maintain scalable backend services and APIs; deliver product features end-to-end; maintain integrations; diagnose and resolve performance and reliability issues; improve engineering practices and architecture; support large-scale data ingestion and unified data access layers.

Lead end-to-end backend architecture and implementation for AI memory systems and LLM agents. Design distributed data models, APIs, and tooling, drive high-impact features, and collaborate with founders to scale production systems for enterprise deployments.

Build and scale Mintlify's backend systems: design and ship APIs, content ingestion and publishing pipelines, and AI search/retrieval infrastructure. Improve performance, reliability, caching, queues, databases, and observability while collaborating across design and engineering and influencing product direction.