Top Backend Developer Jobs

Build reliable backend and infrastructure services for satellite command, telemetry monitoring, anomaly detection, and real-time fleet awareness. The intern will own features, collaborate on software architecture and requirements, and support commercial and U.S. government programs. Required qualifications include current enrollment in a computer science or equivalent degree program, Python proficiency, database experience, and familiarity with pub/sub and streaming systems. Kubernetes and fleet management experience are bonuses.

Architect and build production agentic AI systems for customer support and compliance automation. Lead technical direction for distributed systems, APIs, orchestration frameworks, guardrails, and evaluation systems. Create reusable automation primitives, improve grounding and reliability, reduce hallucinations, and mentor engineers on LLM application design and production readiness. Collaborate cross-functionally to scale AI automation across Coinbase.

Build and maintain high-quality backend software for a SaaS third-party risk management platform. Own loosely defined features from technical design through delivery, develop and optimize REST APIs, work with Python frameworks, cloud infrastructure, CI/CD pipelines, and container technologies, and contribute to continuous engineering improvements. Preferred work includes coding agents, database modeling, big data systems, search technologies, and AI-assisted development tools.

Develop and maintain backend capabilities for a DoD and Intelligence Community AI/ML training data repository. Responsibilities include building Python features, automated workflows, RESTful APIs, streaming services, and cloud-native systems using Docker, Kubernetes, and AWS. The role involves database design and optimization, performance troubleshooting, Agile collaboration, technical leadership, mentoring, and direct engagement with end users. An active TS/SCI clearance and at least five years of backend development experience are required.

Provides senior technical leadership for Java backend development on an AWS-hosted digital platform. Designs, develops, tests, deploys, and maintains RESTful microservices and scalable applications. Leads code reviews, mentors developers, resolves complex technical issues, establishes software quality practices, and guides documentation. Collaborates on cross-functional Agile teams to deliver new functionality, using cloud services, message streaming, databases, CI/CD pipelines, and automated testing tools.

Architect and operate large-scale data pipelines that power startup, people, and investment intelligence. Own data quality, discover new data sources, and advance extraction and reconciliation through LLM-powered agentic workflows and evaluations. Work across backend systems, databases, search indices, and GraphQL APIs to deliver customer-facing data products and features, collaborating with GTM, Product, and Design.

Design, build, and operate backend services for partner-facing APIs and internal ML tooling. Own webhook delivery, authentication, API versioning, pagination, idempotency, database schema and query design, and production reliability. Collaborate with AI Platform and Partner Engineering on inference-serving and partner integrations. Help establish backend engineering practices, service patterns, and code review standards in a fast-moving startup environment.

Design, build, and operate backend Go services and smart contracts that mint, burn, bridge, and reconcile wrapped assets across multiple chains. Own end-to-end delivery from smart contract deployment through API design, SLOs, and production rollout. Drive asset migration pipeline improvements, run on-call operations, build observability and runbooks, and mentor junior engineers.

Build and scale backend systems for an enterprise AI platform. Responsibilities include architecting REST and gRPC APIs, developing distributed infrastructure for crawling, ranking, and retrieval, writing secure and tested code, and improving reliability and engineering velocity. The role requires a strong computer science foundation, proficiency in a strongly typed language, and at least four years of experience building distributed systems.

Designs, develops, tests, and maintains scalable cloud backend software, databases, APIs, SDK integrations, and middleware interfaces. Troubleshoots complex technical issues, improves testing and validation, supports cloud infrastructure and performance optimization, evaluates technologies and vendors, and provides technical leadership. Collaborates with software, firmware, development, leadership, and cross-functional teams to deliver reliable solutions aligned with product and business goals.

Designs, develops, deploys, and operates scalable Go and Python microservices in distributed production environments. Responsibilities include API design, Kubernetes deployment, monitoring, scaling, troubleshooting incidents, system architecture, security, testing, code reviews, and continuous improvements to development processes and infrastructure. The role requires end-to-end service ownership, strong Linux and Docker expertise, observability knowledge, and experience with reliability, performance, and CI/CD practices.

Design, build, and operate scalable Python backend services, APIs, event-driven systems, integrations, and data pipelines supporting manufacturing and operations. Partner with hardware, manufacturing, quality, and operations teams to deliver reliable production systems. Lead technical design, mentor engineers, establish engineering patterns, and contribute to deployment, monitoring, observability, and continuous improvement across globally distributed teams.

Own product areas end to end, from scoping and implementation through launch, instrumentation, customer feedback, and operations. Build agentic product capabilities, use coding agents responsibly, engage directly with customers, monitor adoption and infrastructure performance, participate in on-call, and improve quality, security, and engineering efficiency. The role involves backend development across Ruby on Rails, Golang, AWS, Kubernetes, streaming infrastructure, APIs, databases, and observability systems.

Build and maintain backend services and APIs for a large-scale AI neobank, supporting onboarding, accounts, payments, cards, transfers, rewards, travel, foreign exchange, KYC, and risk workflows. Integrate with financial partners, payment providers, AI services, and third-party platforms. Ensure reliability, security, scalability, observability, data integrity, and effective incident handling while collaborating with product, frontend, mobile, and AI teams.

Design and implement secure, scalable backend services for voice agents, integrate AI models and telephony, improve inference, debug concurrent systems, and collaborate with Product to deliver features end-to-end.

You will develop and maintain backend systems for a platform analyzing in-person sales conversations while collaborating with product and design teams, ensuring the technical excellence of features.

Nourish seeks a Senior Backend Engineer to design, build, and maintain backend services, collaborate with teams, and enhance engineering processes. Responsibilities include product development, codebase management, and driving improvements for scalability.

Develop and maintain scalable, high-performance back-office trading applications using Java, Kotlin, Python, microservices, and event-driven architecture. Responsibilities include system design, CI/CD and DevOps adoption, secure coding, automated testing, messaging integration, cloud-native deployment, performance tuning, code reviews, technical leadership, mentoring, and production resilience for critical financial systems.

Build and scale Petra’s AI-powered cybersecurity detection platform, including real-time signal ingestion, behavioral analysis, and AI-driven decisioning. Architect distributed systems for rapid growth, improve production reliability and correctness, and serve as a senior technical voice on a small, autonomous engineering team. The role requires experience with scalable data-intensive systems and deploying machine-learning models in production.

As a Senior Backend Engineer at DuckDuckGo, you'll lead backend projects, mentor engineers, and develop AI-enhanced features for the company's privacy-centric product line.

As a Backend Engineer, you will design and optimize backend services, APIs, and data processing, collaborating with leadership and users.

Lead and contribute to the Flights platform by designing and building scalable, high-performance Java/Spring Boot services on cloud infrastructure, driving end-to-end features, mentoring engineers, improving reliability and developer experience, and collaborating with product and design to deliver business impact.

Design and implement secure, scalable backend services for speech inference and audio processing. Optimize networking, transcoding, latency, memory, and distributed compute orchestration. Measure and improve system performance, debug complex networking/scheduling/HPC issues, customize services for customers, and partner with Product to deliver features end-to-end.

Design and implement scalable, secure inference services for speech processing. Optimize networking, audio transcoding, latency, memory, and distributed compute orchestration. Debug complex system issues, customize backend services for customers, and partner with Product to deliver end-to-end features.

The Backend Product Engineer will enhance the Radar platform, manage API traffic, engage with customers, and work across various backend technologies to drive product success.