Top Backend Developer Jobs

Lead an agile team to design, develop, and operate low-latency, high-throughput distributed backend services and APIs using Java, Spring Boot, AWS and Kafka. Drive secure, scalable production code, adopt enterprise AI-assisted engineering practices, improve operational stability through automation, and evaluate vendor and architectural solutions.

Lead backend engineering for a high-performance, data-intensive SaaS platform. Responsibilities include defining technical vision, designing scalable and highly available systems, executing technical projects, participating in architecture decisions, monitoring and optimizing services, improving CI/CD and infrastructure, conducting postmortems, mentoring engineers, documenting practices, and aligning with partner teams.

Leads architecture and hands-on development of scalable backend systems and APIs supporting real-time applications. Owns the engineering lifecycle, writes high-performance code, establishes testing and reliability practices, resolves production issues, guides technical roadmaps, collaborates cross-functionally, and mentors engineers. The role requires expertise in object-oriented backend development, distributed cloud systems, automated testing, system monitoring, and technical leadership.

Lead technical vision and strategy for Affirm’s Cards backend engineering organization. Architect scalable and reliable platforms, guide cross-team initiatives, champion AI adoption and engineering excellence, influence technical roadmaps, and mentor engineers through Staff level. The role requires strong architectural expertise, organizational leadership, project management, communication, and cross-functional collaboration.

Leads software engineering for secure, scalable payment technology. Designs, develops, tests, troubleshoots, and reviews Java and Spring Boot applications; improves operational stability and automation; applies cloud-native AWS services and SDLC practices; promotes responsible AI-assisted engineering; coaches teams on secure AI adoption; and evaluates vendor and architectural solutions.

Leads development of secure, scalable Python backend and AWS cloud-native applications using microservices, serverless, containers, and infrastructure as code. Designs distributed systems, APIs, data stores, CI/CD pipelines, observability, resiliency, and security controls. Troubleshoots production incidents, conducts root-cause analysis, optimizes performance, modernizes dependencies, promotes AI-assisted engineering practices, and mentors team members while collaborating with product, platform, SRE, security, and data teams.

Own and deliver backend lakehouse infrastructure goals, lead engineers through complex problems, and build highly available distributed data systems. Collaborate with product, design, analytics, and engineering stakeholders; define scalable technical solutions; improve code quality and engineering standards; monitor operational health; support on-call responsibilities; and mentor team members.

Design and scale foundational APIs and backend services for LogicGate’s multi-tenant GRC platform. Build distributed systems using Java/Kotlin, Spring Boot, AWS, databases, caching, and messaging technologies. Improve reliability, observability, performance, testing, and CI/CD practices. Lead technical design reviews, collaborate cross-functionally, mentor engineers, and use AI coding tools to improve development efficiency.

Build and scale Java backend services, recommendation infrastructure, and data-processing pipelines for Taboola’s performance advertising platform. Design reliable microservices, search and event-driven systems handling billions of events and terabytes of data. Own services end to end, including production monitoring, incident response, root-cause analysis, and continuous improvement. Collaborate with product and architecture teams, manage integration projects, mentor engineers, and use AI-assisted development tools.

Design, develop, test, deploy, and monitor scalable backend systems for a payroll SaaS product. Build APIs and microservices, collaborate with product and engineering teams, participate in code reviews, and own the full development lifecycle in a continuous delivery environment. The role emphasizes Kotlin, Scala, or Java, cloud platforms, automated testing, relational databases, scalable architecture, and responsible use of AI coding tools.

Build and launch complex backend projects, design scalable architectures, lead code reviews, resolve high-risk issues, and contribute to company-wide engineering initiatives. The role involves Java development, distributed systems, cloud platforms, databases, performance optimization, mentoring engineers, and influencing technical decisions across teams.

Design, develop, and maintain scalable backend systems and APIs supporting real-time sports betting experiences for millions of customers. Own the full software development lifecycle, deliver production-ready code, optimize performance and reliability, resolve production issues, and build automated tests. Collaborate with product and engineering teams, contribute to technical standards, and mentor other engineers in a high-volume cloud environment.

Lead fraud decisioning engineering initiatives by architecting, building, launching, and maintaining complex backend systems. Drive cross-functional projects from definition through monitoring, write high-quality and resilient code, review technical work, mentor engineers, collaborate with Product, ML, Analytics, and Business teams, and contribute to hiring and interview design.

Develop backend tools and systems that improve batch development, testing, workflow efficiency, and reliability. Collaborate with product, infrastructure, design, and analytics teams; break projects into deliverable phases; build scalable, well-tested code; monitor metrics; support system availability and on-call operations; debug code; conduct reviews; and contribute to engineering growth and hiring activities.

Build and operate Base’s identity and authorization platform, including Okta workforce SSO, cloud federation, entitlements-as-code, workload identity, PKI, authentication policies, and least-privilege authorization primitives. The role partners with IT, security, and application teams to provide secure identity, groups, and tokens across internal systems, cloud infrastructure, services, and field devices.

Leads backend software engineering for secure, scalable, high-throughput systems. Develops and reviews production code, guides engineers and technical partners, influences architecture and technical operations, and promotes software development standards. Builds microservices, streaming and data-processing solutions using AWS, containers, orchestration, caching, and workflow tools. Drives responsible AI-assisted development practices, including validation for security, correctness, testing, resiliency, and delivery efficiency.

Design and validate DFT architectures for mission-critical ASICs, including TAP/JTAG, IJTAG, Boundary Scan, MBIST, scan compression, ATPG, and silicon debug. Integrate DFT features into chip design flows, optimize test coverage, develop verification artifacts, support timing and bring-up activities, and collaborate with internal teams and external partners on interfaces and security requirements. The role is fully onsite, with occasional travel and after-hours meetings during critical milestones.

Lead the architecture and implementation of Hex’s backend compute platform, improving execution speed, parallelism, caching, observability, and data warehouse integration. Design and build compute components, author technical proposals, roadmap long-term initiatives, collaborate across engineering and product, and mentor engineers. The role remains hands-on while addressing complex computation, performance, database, storage, and systems architecture challenges at scale.

Build and maintain Hex’s core compute platform for code execution, SQL querying, and data processing. Design backend data systems, APIs, caching, dependency frameworks, and performance optimizations across the stack. Work with Python, SQL, databases, data processing systems, and collaborative notebook interfaces. Engineers will improve platform usability, monitoring, scalability, and speed while collaborating effectively in a remote-first environment.

Build backend-leaning product features for Hex’s AI analytics platform, including APIs, CLI workflows, MCP integrations, access-control systems, enterprise administration, and full-stack product changes. Design scalable systems, implement complex business logic, collaborate through RFCs and code reviews, and contribute across the application stack. The role uses TypeScript, GraphQL, Postgres, Redis, Kubernetes, AWS, and related infrastructure technologies.

Design and implement backend APIs, microservices, and checkout platform components for Affirm’s financial products. Own system health, improve performance and reliability, collaborate across engineering teams, and contribute to technical standards, tooling, and processes. The role requires developing, testing, and shipping high-quality software at scale while making customer-centric technical decisions.

Staff Backend Engineer responsible for architecting complex backend systems, setting engineering standards, developing data-intensive applications, and scaling GenAI products. The role leads technical roadmaps, cloud infrastructure, testing, observability, and AI coding-tool adoption while mentoring engineers and partnering across engineering, product, and business teams.

Design, build, and own complex backend systems for a healthcare claims platform. Contribute to architecture, coding standards, testing, observability, infrastructure, and system health. Collaborate with product, data, DevOps, and business teams while mentoring engineers and using AI coding tools to improve productivity.

Build and improve backend services, REST APIs, monitoring, CI/CD pipelines, content-management integrations, and reliable customer-facing features. The role requires collaborative software development experience with prominent programming languages, REST integrations, Git, and server technologies such as Docker, NGINX, and Node.js. Experience with enterprise content management systems, AWS, Java, Freemarker, or Rust is advantageous.

Develop and scale the LogScale backend to handle massive ingestion and query loads. Design and deliver platform-level initiatives, write automated tests, monitor production, troubleshoot customer issues, and collaborate cross-team on architecture and documentation. Serve as a technical leader and LogScale expert, balancing short-term delivery with long-term product goals.