Top Backend Developer Jobs

Develop and maintain backend and system-level software in Rust for autonomous rail vehicle train-control systems. Responsibilities include implementing movement authorities, signals, switches, and related control features; fixing edge cases; testing for safety, security, and compliance; debugging simulations and hardware; and participating in technical design and code reviews. The role supports future Positive Train Control capabilities and requires collaboration across backend and UI development.

Build and operate backend infrastructure, APIs, social graphs, identity systems, economies, entitlements, feeds, chat, notifications, and moderation capabilities. Design relational schemas, versioned API contracts, concurrency-safe transactions, and auditable financial systems. Collaborate with architecture and frontend teams, contribute to design and code reviews, improve testing, write specifications, and mentor engineers. The role is in-office in Irvine, California, with a strong emphasis on production-scale correctness and reliability.

Lead the architecture, development, testing, deployment, and operation of scalable backend systems for Fanatics Core. Drive complex technical initiatives end to end, establish engineering standards, resolve incidents, improve observability and software quality, and mentor engineers. Collaborate with product, design, and cross-functional stakeholders to deliver scalable features across Fanatics’ sports, commerce, gaming, payments, identity, loyalty, and platform products.

Develop, test, deploy, and maintain scalable backend distributed systems for Fanatics’ sports platform. Responsibilities include designing features, participating in code reviews and on-call support, improving observability and operational excellence, contributing to architecture and Agile planning, collaborating with product stakeholders, and mentoring junior engineers. Occasional travel to offices, conferences, and events is required.

Support business-critical Java and Angular applications across AWS, Kubernetes, Linux, and Windows environments. Responsibilities include managing middleware, EKS, Docker containers, CI/CD pipelines, infrastructure as code, monitoring, vulnerability remediation, incident response, disaster recovery, and high-availability operations. The role requires troubleshooting production systems, developing automation with Bash and Python, maintaining documentation, collaborating across technical teams, and participating in a 24x7 on-call rotation.

Design, build, and operate backend services for stablecoin minting, burning, reserve accounting, reconciliation, settlement, and payments APIs. Integrate with banks, custodians, issuers, blockchains, and partner APIs while ensuring secure, observable, and reliable money movement. Build audit trails, monitoring, runbooks, and incident-response processes, and contribute to customer and operations workflows. Translate ambiguous business and compliance needs into robust technical systems.

Own backend systems and infrastructure end-to-end, designing, deploying, and scaling performant APIs and services on AWS using Node.js and TypeScript. Deliver reliable production code quickly, establish engineering best practices, make architectural tradeoffs, and collaborate with product engineers and stakeholders. The role emphasizes system ownership, scalability, performance, reliability, and effective use of AI-assisted development tools.

Design and develop the backend of the vCluster Platform using Go and deep Kubernetes expertise. Own features end to end, from technical design through release, while solving complex systems and multi-tenancy challenges. Contribute to open-source projects and Kubernetes community initiatives, build scalable isolation and resource-sharing solutions, and operate autonomously in a fast-growing startup environment.

Develop and enhance backend financial and investment products, integrating with financial institutions and partners. Build scalable web applications and backend services using Node.js, TypeScript, PostgreSQL, AWS Lambda, and Kinesis. Responsibilities include analyzing requirements, implementing maintainable features, testing, troubleshooting production issues, designing scalable schemas, and contributing across the technology stack while primarily focusing on backend development.

Design and operate scalable backend services for spectrum data ingestion, ML inference, and autonomous agent workflows. Architect tool-calling, orchestration, state, memory, and evaluation systems; own model serving and performance optimization; define APIs and data contracts; and ensure production reliability through observability, alerting, and runbooks. The role also involves architectural leadership, design reviews, mentoring, and collaboration with ML researchers to productionize models.

Develop scalable back-end systems, APIs, custom tools, and software applications using modern architectural approaches and open-source frameworks. Collaborate cross-functionally to identify risks, solve complex problems, and deliver efficient client solutions. Apply Agile development practices, AWS services including Lambda, object-oriented programming, RESTful APIs, microservices, and SQL/NoSQL technologies. This role requires a TS/SCI clearance with polygraph.

Design and build scalable backend services and AI-powered applications using Node.js/TypeScript or Python. Develop AI agents, agentic workflows, LLM integrations, tool calling, evaluation frameworks, REST APIs, microservices, and event-driven services. Partner with Product and Business teams, provide architecture guidance and code reviews, lead an offshore engineering pod, and optimize backend and AI workloads for reliability and performance. The role is onsite in Rhode Island or Arizona.

Design, build, scale, and maintain backend services for a core banking system using Go, asynchronous workflows, and distributed databases. Develop highly available and secure services, collaborate with operations and infrastructure teams, deploy and monitor cloud-based systems, and debug, test, document, and optimize code. Use AI coding assistants to rapidly implement services and contribute to fintech infrastructure improvements.

Build realistic coding tasks involving feature implementation and bug fixes for AI systems. Develop deterministic verifiers that accept valid solutions and reject invalid ones. Apply backend expertise in scalable services and APIs, debugging, performance optimization, automated testing, code review, refactoring, and complex feature development. The role is remote, contractor-based, flexible, and output-compensated, with work expected to begin shortly after onboarding.

Design, build, and operate backend infrastructure for ambient healthcare AI, including audio ingestion, inference orchestration, distributed workflows, APIs, storage, observability, and cloud systems. Improve reliability, scalability, latency, and cost across real-time and asynchronous workloads. Lead incident response, establish SLOs, develop recovery and debugging tools, partner across engineering and clinical teams, and mentor engineers on distributed systems and operational practices.

Develop and scale backend services that process large datasets through multiple stages. Own systems from design through production, including debugging, validation, recovery, reruns, and reversions. Build safeguards, monitoring dashboards, and internal tools to assess system health and output quality. Collaborate with machine learning, full-stack, platform, and security teams in a fast-moving engineering environment.

Build and maintain latency-sensitive backend services for risk management, transaction processing, settlement, and financial operations. Design state machines, ensure consistency across asynchronous processes, ingest live data feeds, coordinate time-sensitive workflows, and develop high-performance REST and WebSocket APIs. The role requires production Rust experience, database versatility, asynchronous programming, startup experience, and an interest in trading or financial markets.

Build and maintain latency-sensitive backend services for risk management, transaction settlement, distributed state coordination, live data processing, and client-facing request-response and streaming interfaces. The role requires production Rust experience, asynchronous programming expertise, database knowledge, systems-level backend engineering, startup experience, and an interest in trading or financial markets. This is a fully onsite position in New York City.

Develop backend and GenAI capabilities for Target’s automated trend-sensing ecosystem. Responsibilities include integrating trend-signal sources, implementing and scaling agentic workflows, partnering with data scientists, supporting merchants and designers, ensuring transparent and reliable results, and monitoring emerging GenAI technologies. The role also involves software design, deployment, maintenance, code review, operational support, and applying distributed programming and data-retrieval strategies.

Design and develop large-scale distributed backend services with a strong emphasis on security, reliability, testability, and observability. Drive modern engineering practices, perform system and code reviews, improve test coverage and CI/CD, troubleshoot live-site issues, and collaborate with product and engineering teams to deliver data-driven customer solutions.

Design, develop, deploy, and maintain scalable Java backend applications and microservices. Translate business requirements into technical designs, build RESTful APIs, integrate services, conduct code reviews, troubleshoot complex issues, and ensure software quality. Collaborate with cross-functional teams, identify project risks, participate in solution analysis, and mentor junior developers while supporting reliable, high-performance solutions.

Provides technical leadership for engineers building scalable cloud-native applications on AWS. Leads architecture, modernization, Spring Boot microservices, OpenSearch, CI/CD, observability, and infrastructure initiatives. Ensures security, scalability, performance, and reliability while mentoring engineers and improving development practices. Collaborates with product, architecture, platform, and business stakeholders, supports incident resolution, and drives DevOps, automation, and AI-assisted development.

Develop and evolve a high-throughput, low-latency US sports betting platform using distributed systems and microservices. Build resilient, scalable services for peak sporting events, collaborate with technical and non-technical stakeholders, contribute to architectural direction, and mentor junior engineers. The role also involves cloud infrastructure, Kubernetes, reliability, concurrency, debugging, and delivery of quality software in an agile environment.

Design and build scalable services, APIs, platform capabilities, and product features. Own architecture and technical decisions, improve reliability and engineering practices through testing and operations, collaborate cross-functionally, mentor engineers, and help guide team direction.

Lead backend software engineering role focused on architecting and scaling data infrastructure, core platforms, backend services, APIs, and production workloads. Responsibilities include hands-on coding, technical roadmap development, architectural standards, reliability and security, mentoring engineers, and collaboration with product and engineering leadership. Requires expertise in TypeScript, Node.js and/or Python, APIs, data pipelines, databases, cloud platforms, CI/CD, observability, and production operations.