Top Backend Developer Jobs

Build, operate, and extend data platform and application-layer services enabling secure, self-service data applications at scale. Implement provisioning, CI/CD, access control, integrations, observability, automation, and incident response while contributing to semantic layer and AI-ready tooling roadmaps.

Build and maintain scalable integration and end-to-end test automation frameworks, optimize CI pipelines and test execution, improve test stability and reporting, support engineering teams with triage and best practices, write technical specs/ADRs, participate in on-call rotation, and collaborate cross-functionally to evolve the company test strategy.

Lead design and delivery of complex systems within cross-functional squads. Provide architecture guidance, mentor engineers, develop scalable, reliable solutions, prototype new technologies, and integrate AI tooling into workflows.

Lead design and deliver complex, scalable software solutions. Provide architecture guidance, mentor engineers, collaborate with product and design, prototype new technologies, and integrate AI/LLM tooling to accelerate development while ensuring quality and reliability.

Designs, builds, operates, and supports backend services powering an enterprise AI platform. Responsibilities include developing APIs, AI gateway and orchestration capabilities, entitlements, tenancy models, data access patterns, integrations, and platform services. The engineer owns services throughout design, implementation, testing, deployment, monitoring, reliability, and support while collaborating with client product, engineering, data, and platform stakeholders.

Own backend and infrastructure systems powering AI shopping agents, including live checkout automation, large-scale product ingestion, search and ranking, deployment, monitoring, databases, and on-call operations. Build reliable systems for changing retailer environments, improve failure recovery, and ensure transaction correctness. Collaborate directly with the CTO in a fast-moving startup. Experience with production LLM agents, machine learning, e-commerce, payments, or fraud infrastructure is advantageous.

Develop, test, and maintain backend services using Java and AI coding agents. Implement features from design through deployment, prototype product ideas, integrate third-party APIs, collaborate across teams, and support documentation, training, and system maintenance. The internship includes mentorship, peer reviews, and use of advanced AI development tooling.

Lead hands-on backend engineering for a digital assets platform by writing production Java code, driving low-level design, conducting rigorous code reviews, resolving complex technical issues, and setting implementation direction. Mentor and technically guide engineers, manage delivery risks, champion testing, CI/CD, observability, and operational readiness, and collaborate with architects, product stakeholders, and senior engineering leaders in an enterprise financial-services environment.

Build and own Crucible’s backend for production planning and execution across cloud, factory, and disconnected classified environments. Design services, APIs, data models, workflows, integrations, synchronization, reconciliation, and failure recovery. Improve reliability, performance, observability, and testing while partnering on architecture and mentoring engineers. The role requires solving complex distributed-state and consistency problems for manufacturing systems.

Design, build, and operate high-throughput backend platforms and shared services supporting multiple engineering teams. Responsibilities include distributed systems architecture, event processing, asynchronous jobs, caching, rate limiting, observability, multi-region reliability, API standards, performance optimization, incident response, technical documentation, cross-team leadership, and mentoring. The role requires strong backend language expertise, messaging and streaming knowledge, data-store experience, and leadership of large platform initiatives.

Lead design and development of scalable connectivity and integration capabilities across MuleSoft, Salesforce, and Agentforce. Define technical direction, mentor engineers, build APIs and event-driven workflows, and drive architecture, performance, and operational stability across large production systems.

Design and develop scalable, cloud-native backend services, APIs, Kubernetes controllers, and automation tools using Go. Build gRPC and REST integrations with databases and messaging systems, optimize performance and concurrency, and implement testing, monitoring, logging, and CI/CD pipelines. Collaborate with engineering teams and maintain technical documentation while delivering production-grade distributed systems and microservices.

Build and operate backend services for an AI-powered hardware development platform. Design REST APIs, ingestion pipelines, background task systems, and agentic AI workflows that convert unstructured inputs into engineering artifacts. Integrate LLM APIs with streaming, error handling, and cost optimization, deploy services on GCP using Terraform, and establish reliable coding, testing, and review practices. The role requires daily hands-on development and collaboration with AI researchers, product leadership, and engineering teams.

Build and maintain scalable, distributed backend systems for a high-volume fintech platform. Develop services with Golang, integrate third-party APIs, contribute to product development, and write clean, testable, maintainable code. Collaborate independently within an international engineering team using PostgreSQL, Redis, Kubernetes, Google Cloud Platform, GitLab, and microservices architecture.

Set backend technical direction and build and operate low-latency APIs, indexers, and real-time pipelines. Own system latency, throughput, correctness, schemas, caching, and production reliability across Postgres, Redis, ClickHouse, and blockchain infrastructure. Debug incidents, improve fleet architecture, and mentor engineers while supporting high-volume trading across Solana, BNB, Ethereum, Base, and other chains.

As a Founding AI Backend Engineer at Pakket, you'll enhance backend systems, debug the CV pipeline, and deploy services across warehouses, ensuring operational reliability and rapid feature deployment.

The Backend Engineer will enhance trading functions through software development, focusing on algorithm development, data management, and process improvement in portfolio management.

The Senior Software Engineer will lead and support a team in developing reliable and scalable backend systems, collaborating on product development, and improving infrastructure for secure communication between services.

The Senior Software Engineer will design, build, and maintain distributed backend services to enhance patient care workflows at Ro. Responsibilities include improving system performance and collaboration across various teams to ensure quality and compliance.

Design, build, and maintain scalable backend services for patient care workflows, ensuring high performance and collaborating with multiple teams.

Lead technology projects and a team to design and deliver cloud-based, full-stack and back-end microservices solutions. Collaborate with product managers, mentor engineers, adopt new technologies, and ensure scalable experiences using containers, orchestration, databases, and cloud services.

Lead diverse technology projects and develop solutions in a collaborative environment. Focus on cloud-based applications, mentoring, and leveraging new technologies.

Lead backend engineering team to build Capital One's Security Deposit Data Product using serverless architectures and Go. Design and implement low-latency APIs and data streaming, mentor engineers, collaborate with product managers, and deliver cloud-native solutions on AWS and other cloud platforms.

Lead a portfolio of technology projects and a team of developers to design and deliver cloud-based, full-stack microservices. Mentor engineers, collaborate with product managers, evaluate and write code, and use languages and tools (JavaScript, Java, TypeScript, Python, Go, SQL), container orchestration, and AWS/GCP/Azure to build scalable customer-facing solutions.

Design and build scalable, low-latency Python microservices and gRPC/REST APIs using Protobuf; optimize backend performance with AsyncIO, caching, and DB tuning; containerize and deploy with Docker and Kubernetes into CI/CD pipelines; integrate cloud databases and legacy Windows systems; lead code reviews, define Python standards, and mentor junior engineers for defense-grade, secure applications.