Top Backend Developer Jobs

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.

Technical lead for the Mobile BFF team owning architecture and development of GraphQL BFF services for native mobile apps. Drive technical decisions, mentor engineers, improve performance, de-risk complex work, maintain CI/CD, and collaborate across teams to ensure scalable, reliable mobile experiences.

Design, build, and maintain scalable GraphQL Backend-for-Frontend services for Procore mobile apps. Collaborate with infrastructure and platform teams, mentor engineers, implement CI/CD (CircleCI, ArgoCD), ensure reliability and performance, and balance short-term and long-term architectural tradeoffs using technologies like Ruby on Rails, Node.js, Java, AWS, Kubernetes, Postgres, and TypeScript.

Own and deliver complex backend features for a SaaS platform end-to-end. Write production-ready code, define test strategies, handle incident response, use AI tools in development, collaborate across product and design, and improve developer workflows, deployments, and system reliability.

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, build, and operate reliable backend services and scalable APIs using TypeScript, Python, and Go. Implement data processing, asynchronous workflows, monitoring, and observability. Improve performance, reliability, and system architecture; write well-tested code and collaborate with product and engineering teams.

Build and operate production backend services and scalable APIs using TypeScript, Python, and Go. Design distributed systems, data processing and asynchronous workflows, improve performance and reliability, implement observability, write well-tested code, and collaborate with Product and engineering teams to take features from concept to production.

Build and scale backend features for a B2B SaaS marketing attribution platform. Design and implement server-side functionality, troubleshoot architecture, work across the full development lifecycle, and ensure clean, secure, and scalable code in a collaborative remote team.

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.

Design, implement, and operate backend APIs, content pipelines, and AI retrieval infrastructure. Scale ingestion, validation, transformation, caching, queues, databases, and observability. Collaborate with design and product, drive technical decisions, and ship reliable features used by thousands of documentation sites.

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.

Drive development and customer adoption of advanced backend custom IC design flows in Cadence Virtuoso for advanced nodes. Provide customer-facing support: troubleshoot issues, create automation and scripts, collaborate with R&D, and deliver documentation and training to enable efficient layout and signoff flows.

The Sr. Software Engineer focuses on backend development, improving investment products, ensuring software quality, and troubleshooting production issues.

Build and maintain backend services and infrastructure for ML and generative AI features. Develop scalable, resilient, high-performance Python services (async frameworks, streaming), deploy to Kubernetes, integrate RAG and LLM orchestration, instrument LLM observability, and collaborate cross-functionally to deliver production-ready AI products.

Design, build, and operate core platform systems including storage layers, data pipelines, and scalable APIs. Contribute to the Pangolin database, implement data access and authorization primitives, own reliability and on-call duties, identify and resolve performance bottlenecks, and mentor engineers.

Lead backend development to expand infrastructure and APIs for a scalable aviation maintenance planning SaaS. Design, build, test, and maintain high-performance services and microservices, work with product and business teams to turn ambiguous requirements into solutions, and occasionally support deployments and customer integrations.

Build and own backend systems for an AI assistant: LLM orchestration, workflow execution, identity and knowledge layers, agent networks, and production-grade reliability for cost-sensitive, real-time AI workloads. Influence architecture end-to-end in a greenfield, high-growth environment.

Lead architecture and rewrites for a scalable, resilient AI-first platform. Own backend systems, data storage performance, deployment pipelines, cloud infrastructure via IaC, observability, incident response, and analytics. Mentor engineers and enable rapid customer onboarding and AI-driven automation.

Lead architecture and implementation of device provisioning and lifecycle management services on GCP. Own APIs, scale Postgres/AlloyDB databases, integrate AI/LLM workflows (Anthropic Claude) for automation, mentor engineers, improve pipelines and tooling, and ensure high-availability, fault-tolerant designs.

Design, build, and own core backend services powering AI agents and healthcare workflows, including orchestration of asynchronous, multi-step agentic workflows, high-stakes EHR integrations, platform abstractions, and HIPAA-compliant security and auth.