Top Backend Developer Jobs

The Staff Backend Engineer will lead technical direction across backend systems, write production code, improve scalability, and mentor engineers.

Join Rain's AI team as a Backend Engineer to build scalable backend systems and AI-powered features while collaborating with business teams.

The role involves designing and expanding backend systems, mentoring engineers, and executing technical strategies to modernize architecture and improve system performance.

Design and build reliable backend services powering clinical data, insurance billing, patient-facing infrastructure, and financial ledger systems. Scale high-integrity systems requiring idempotency, strong consistency, and pragmatic AI integration to automate provider workflows and enable personalized patient experiences.

Build and scale backend systems for a crypto trading and social app, including trade execution infrastructure, onchain data ingestion, portfolio tracking, content recommendation engines, analytics pipelines, and infrastructure optimization. The role uses TypeScript and Go microservices with some Rust, offers cross-functional frontend contributions, and requires autonomous execution in an in-person New York City environment.

Design, build, and maintain Go-based backend microservices and Kubernetes operators for a hybrid cloud management platform. Implement REST APIs, manage PostgreSQL schemas and migrations, integrate with internal platform and cloud provider APIs, and ensure quality through unit/integration tests and system-level validation against real clusters.

Build, test, maintain, and deploy backend services across Eulerity’s core platform. Own features end to end, use AI agents and LLM tools to accelerate development, integrate third-party APIs, contribute product and roadmap ideas, and collaborate on releases. The role also includes documentation, system support, knowledge sharing, and ongoing exploration of AI-assisted engineering workflows.

Build scalable backend services, APIs, workflow orchestration, integrations, and AI agent infrastructure for enterprise procurement, invoicing, contracts, and payments. Develop agent runtimes, multi-agent coordination, observability, evaluation, and testing systems. Ensure reliability, security, compliance, auditability, performance, and fault tolerance across distributed systems handling sensitive financial and operational data.

Build and maintain CI/CD pipelines, cloud infrastructure, Terraform automation, database systems, monitoring, and observability on Google Cloud. Support reliability, security, compliance, incident response, and shared on-call operations while applying backend engineering expertise to production services. The role manages PostgreSQL, Redis, BigQuery, Bigtable, and Firestore environments and contributes to disaster recovery and operational tooling.

Develop and maintain backend applications using .NET, C#, Redis, OpenSearch, AWS, and cloud-native technologies. Responsibilities include troubleshooting software issues, optimizing performance and reliability, conducting code reviews, supporting applications, and leading software and process improvements. The role also involves mentoring colleagues, collaborating independently or with teams, and ensuring high-quality software delivery.

Build and support cloud-based backend microservices for multiplayer games. Develop new services, create software design documents, support live features and releases, collaborate with partner studios and designers, and optimize player experiences. The role requires professional Go and C++ experience, scalable non-relational databases, cloud platforms, and the ability to work with game engines. Familiarity with game server scaling, message brokers, game backend services, and console APIs is preferred.

Build and maintain production backend systems for a real-time learning AI engine: APIs, data pipelines, performance optimization, testing, CI/CD, and troubleshooting. Collaborate with AI researchers, prototype features, and operate LLM instances (Claude) at scale.

Design, architect, build, and support large-scale backend software systems for Cisco IQ. Develop and integrate AI-driven features and agents into production, perform testing and debugging, lead technical initiatives, collaborate with product and architecture teams, and mentor junior engineers. The role involves delivering highly visible software within scrum teams and guiding technical solutions for Cisco’s AI-powered customer experience platform.

Lead the technical strategy for Patreon's backend platform, managing scalable distributed systems, APIs, and infrastructure. Collaborate with product teams and mentor staff engineers, emphasizing reliability and operational excellence.

Develop and operate highly scalable backend systems and AWS infrastructure. Responsibilities include maintaining Python HTTP services, working with DynamoDB, Elasticsearch, and Redis, provisioning cloud resources through infrastructure as code, reasoning about distributed systems, and owning software from design through monitoring. The role also focuses on reliability, security, performance, cost optimization, observability, technical roadmaps, and collaboration with engineering and product stakeholders.

Lead design and scaling of AI-powered backend systems for document processing, entity resolution, extraction agents, and conversational interfaces. Build resilient pipelines, orchestration, observability, and evaluation tooling; make architecture decisions, mentor engineers, and partner with product to deliver production-ready applied AI workflows.

Design, build, test, and operate high-throughput, cloud-native backend services in Java for a data integration platform. Own features end-to-end, implement automated tests, engage in CI/CD and incident response, and collaborate across teams to ensure performant, reliable data pipelines and APIs.

Build and operate backend services and production applications incorporating LLMs, machine learning, retrieval, tool use, and agentic workflows. Partner with data scientists to productionize models, develop AI evaluation and observability systems, support clinical and operational data workflows, and improve scalable cloud-native architecture. The role also involves secure data handling, reliability engineering, cross-functional collaboration, and production support for healthcare AI products.

Design, develop, and optimize high-volume manufacturing processes for optical and photonic products. Lead process implementation, run experiments (DOE/SPC), troubleshoot yield and quality issues, qualify materials/equipment, create process documentation, and drive continuous improvement with cross-functional teams.

Own end-to-end backend IC design automation flow bring-up for new semiconductor process nodes, including PDK, standard-cell library, Foundation IP, EDA tool, script, and infrastructure integration. Develop regression tests, qualify and deploy production flows, support design teams through tape-out, and provide debugging, training, documentation, and methodology improvements. Collaborate across global engineering teams and apply AI/ML to regression analysis, flow optimization, and knowledge capture.

Design, develop, test, deploy, and maintain scalable Java backend applications using Spring Boot and microservices. Build RESTful and SOAP integrations, optimize performance and reliability, implement security controls, and develop relational and NoSQL database solutions. Collaborate with architects, product owners, and frontend teams; participate in design reviews and architectural decisions; troubleshoot production issues; and uphold DevOps, CI/CD, coding, and Agile practices. Mentor junior developers and guide technical discussions across enterprise development teams.

Design, develop, and scale Java-based microservices and real-time event-processing systems. Build RESTful APIs, implement complex business logic, and architect event-driven solutions using Apache Kafka. Deploy and manage containerized applications on AWS EKS, integrate AWS services, and ensure system reliability through testing, performance tuning, and troubleshooting. The role also involves distributed systems, cloud infrastructure, CI/CD, and database integration.

Build and optimize backend services for a large-scale SaaS application security platform. Responsibilities include developing distributed microservices, API gateways, cloud scanning environments, AI code security capabilities, internal tools, and observability practices. The role requires scalable systems expertise, secure software design, cloud-native technologies, and familiarity with build toolchains such as Maven, pip, and npm.

Lead and grow a backend engineering team while remaining hands-on in architecture, coding, code reviews, and system design. Develop scalable REST APIs with Java or Python, asynchronous services using RabbitMQ or AWS messaging, and NoSQL data models with MongoDB. Drive reliability, testing, performance, technical standards, hiring, mentoring, and cross-functional delivery. Use AI-assisted development tools to improve coding, debugging, reviews, documentation, and system design.

Architect and develop scalable, event-driven backend services, APIs, orchestration systems, and data-context management solutions for AI agents supporting laboratory workflows. Integrate cloud infrastructure, scientific instruments, and software systems while establishing data contracts, integration standards, observability, security, and resilience. Prototype emerging AI technologies and mature successful solutions for regulated production environments. The role requires extensive distributed systems experience and supports R&D software teams in San Jose or Indianapolis.