Top Backend Developer Jobs

The AI Engineer will design, develop, and deploy machine learning models, work on APIs for AI applications, and manage ML pipelines on AWS. Responsibilities include productionizing AI systems and developing scalable solutions in a cloud-native environment.

Design, build, and own web and mobile applications and backend infrastructure. Implement APIs, database schemas, and scalable microservices. Integrate and productize ML/DL models, leverage code-generation tools, and collaborate with design, data science, and aviation experts to deliver production-ready SaaS features.

Develop and maintain Java-based backend applications using J2EE, the Spring Framework, and SOAP web services. This is a six-month contract position based in San Jose, California.

Own and design the core backend architecture for a streaming platform, analytics, prediction, and ecommerce. Build ingestion-to-attribution pipelines, implement logging/monitoring, mentor engineers, and make high‑impact architecture decisions across microservices, event-driven systems, and cloud infrastructure.

Build and own backend systems powering an AI assistant: LLM orchestration, workflow execution, multi-provider LLM infra, identity and knowledge layers, agent networks, and real-time personalization. Work end-to-end on greenfield infrastructure, scale reliability and cost-sensitive AI workloads, and define architecture and service ownership.

Founding Backend/Infra Engineer responsible for building a scalable job search engine, including web crawlers and recommender systems. Requires strong programming skills, particularly in Node.js and Python, and attention to detail.

As a Backend Software Engineer, you'll design and implement AI systems, collaborating with engineers and stakeholders to meet military logistics needs.

As a Backend Software Engineer, you'll design, build, and deploy software solutions for military logistics, collaborate with teams, and ensure operational needs are met.

The Senior Software Engineer will architect and deliver backend systems, optimize API performance, and mentor teammates while tackling various distributed system challenges.

The Senior Backend Engineer will develop AI-powered language learning products, focusing on backend systems while coordinating with design and machine learning teams.

As a Full Stack Software Engineer, you will lead product features from design to implementation while mentoring other engineers in AI-native workflows. Responsibilities include building scalable backend systems, creating responsive UIs, and driving architectural decisions in a high-urgency environment.

The Senior Back-End Software Engineer designs, develops, and maintains scalable backend systems while taking ownership of the software development lifecycle.

Design, implement, and optimize scalable backend software solutions. Collaborate with team members and uphold coding standards while troubleshooting and maintaining software performance.

The Senior Backend Infrastructure Engineer will design and optimize scalable backend systems on GCP, improve infrastructure and security, and mentor engineers while collaborating closely with product teams.

As a Software Engineer at Avoma, you will develop and maintain server-side applications, ensuring quality and performance while collaborating with various teams.

Design and implement backend APIs (GraphQL) and ETL pipelines for data processing and retrieval; build cloud-native services on AWS/Azure/GCP using Docker and Kubernetes; collaborate with frontend, product, and design teams to present data; ensure federal compliance (FedRAMP, IL4/5/6) and support classified workloads; mentor engineers and maintain production infrastructure.

Design and build scalable backend services and data schemas, architect high-volume workflow automation and ML-enabled pipelines, optimize performance, integrate third-party systems, and collaborate with cross-functional teams to deliver production-ready features end-to-end.

Lead development of DataHub's metadata platform, building scalable systems, APIs, and architectures for metadata collection and processing.

Build, test, and integrate secure backend services and APIs for DoD mission-planning. Work on REST and gRPC services, asynchronous workflows, geospatial databases, containerized deployments, CI/CD, automated tests, and vulnerability remediation while collaborating with AI/ML, frontend, and cybersecurity teams.

Develop, test, and deploy ground mission-operations software for lunar lander systems. Design safety-critical, scalable architectures, integrate with vehicle and ground subsystems, run SIL/HIL validation, support CI/CD and release, produce documentation, and assist operator training and mission operations.

Build and ship end-to-end AI-native product features, prototype with modern AI models/APIs, collaborate with product/design, maintain fast reliable systems, and improve dev workflows and deployments.

Build and own the backend modeling engine for transfer tax, waterfall/distribution, and consolidation. Model complex trust and estate domains, make computations deterministic and checkable, validate logic with JDs and CPAs, and expose modeling for agent-driven workflows. Ship small changes frequently and support production monitoring and agent workflows.

Build scalable backend services and data pipelines to process large healthcare datasets, integrate and optimize LLM-driven features, implement observability and best practices, collaborate across frontend, data, and AI teams, and own end-to-end feature delivery for production systems.

Lead technical strategy and hands-on engineering for Airbnb's AI-powered ads growth engine. Architect scalable systems for creative generation, bidding, budget optimization, and audience management across paid channels. Write and review code, set standards for availability and quality, collaborate with Marketing/Product/ML teams, roll out staged automation, and mentor engineers to advance platform autonomy while ensuring brand safety and human-in-the-loop controls.

Design and deliver scalable backend services and high-performance APIs for a SaaS platform. Collaborate cross-functionally to scope and ship features, maintain clean architecture and tests, optimize application and database performance, evaluate backend technologies, and troubleshoot live systems to maximize uptime.