Top Backend Developer Jobs

Lead technical direction and architecture for DAP Repository Flows, design and ship autonomous and scheduled agents that operate on customer repositories, improve DAP onboarding, collaborate across teams on platform interfaces, mentor engineers, and solve high-scale technical problems to raise engineering quality.

As a Sr. Software Engineer, Backend, you will develop AI-powered solutions for clinical documentation and medical coding, collaborating with cross-functional teams to enhance SaaS products and deliver actionable insights for healthcare organizations.

As a Senior Software Engineer, you'll own backend systems, mentor team members, and collaborate with product and design to build user-focused solutions.

Lead design and build a greenfield, high-throughput payments platform. Drive architecture, implement distributed backend services, scale cloud-native systems, integrate observability and AI tooling, own APIs, mentor engineers, and support production through CI/CD and on-call responsibilities.

Build, operate, and scale backend systems for card issuing and transaction processing. Break down projects, collaborate with product and cross-functional teams, write tested extensible code, support monitoring and on-call operations, and participate in team growth activities including interviews.

As a Backend Engineer, you'll contribute to product roadmaps, scale infrastructure, integrate services, and drive architectural decisions while interacting with smart contracts.

Lead the development of technology projects, manage a team of developers, deliver cloud-based solutions, and mentor engineering community members.

Lead a team delivering cloud-based back-end financial systems, architect distributed microservices, collaborate with product managers, mentor engineers, and build scalable data and reporting solutions using modern languages, containers, and cloud services.

Lead backend engineering portfolio and team to build cloud-based, distributed microservices and full-stack solutions. Mentor engineers, collaborate with product managers, and use modern languages, containers, orchestration, and cloud services to meet regulatory and business needs.

Designs, builds, and operates large-scale distributed backend systems and high-throughput services. Responsibilities include architecting data partitioning and consistency strategies, developing resilient APIs and event-driven services, optimizing performance and cost, operating data stores, implementing observability, leading architecture reviews and incident response, mentoring engineers, partnering with SRE and platform teams, and maintaining comprehensive technical documentation.

Design, build, and operate high-throughput backend platforms and shared services, including request routing, traffic management, caching, asynchronous jobs, and durable event processing. Lead distributed-systems initiatives across engineering teams, make technical decisions, mentor engineers, document designs, and improve developer experience. Preferred experience includes Kubernetes platforms, open-source infrastructure, service meshes, workflow orchestration, backward-compatible APIs, and technical community contributions.

Design, build, deploy, and operate highly available, large-scale telemetry and observability services. Build APIs, tools, and subsystems for collection, routing, storage, and data access. Improve reliability, security, and platform intelligence (including machine-learning features), participate in on-call and incident response, and collaborate across teams to deliver end-to-end solutions and AI-assisted operational capabilities.

Develop, maintain, and optimize mission-critical backend APIs and scalable cloud services for web and mobile clients. Implement secure, high-performance systems, automated tests, observability, and technical documentation. Mentor peers, follow best practices, and support a proof-of-concept launch and fundraising activities as a volunteer contributor.

Senior backend (Python) engineer responsible for designing, building and maintaining RESTful backend services and APIs, integrating data science outputs, optimizing performance and multithreading, troubleshooting UAT/integration issues, leading teams, and documenting solutions for enterprise Data-to-Decision systems.

Develop and maintain Java/Python microservices and cloud-native applications. Design REST and gRPC APIs, implement observability and security, and support containerized deployments using Docker, Kubernetes, and OpenShift. Collaborate with DevOps/SRE teams on CI/CD, troubleshoot production issues, participate in architecture and Agile ceremonies, conduct code reviews, and mentor junior developers. Contribute to application analysis, system design, documentation, risk management, performance improvements, and delivery planning.

Build and ship backend systems and robust architectures for SMB and enterprise restaurant customers. Drive end-to-end development including planning, CI/CD, and productionization. Collaborate on product roadmap, iterate from user feedback, and contribute to team culture and growth.

Senior backend engineer responsible for designing and implementing new features, scaling and optimizing the platform, improving Postgres and Elasticsearch performance, fine-tuning LLMs, and making architectural decisions. Collaborate with engineering team, take ownership of features, write performant, maintainable code, and help shape product and infrastructure for data-intensive applications (NLP, search, indexing).

Build backend services, ontology models, retrieval and evaluation systems, and production LLM workflows for legal drafting and review. Own features end to end across PostgreSQL, OpenSearch, graph databases, and AWS, while improving performance and scale. Work directly with law firm customers alongside senior forward deployed engineers, contribute to TypeScript and React interfaces, and translate vague customer problems into data models, retrieval improvements, or software fixes.

Build backend services and AI systems for legal drafting, review, and search workflows. Model legal knowledge into ontologies, develop retrieval and evaluation infrastructure, test LLM prompts, optimize queries and performance, and deploy solutions with customers. The role also includes occasional frontend work in TypeScript and React, customer collaboration, and end-to-end ownership of product features.

Design, build, and optimize scalable backend services, APIs, and data pipelines. Integrate with third-party billing/commerce systems, maintain serverless/event-driven architectures on AWS, ensure security and performance, implement automated tests and CI/CD, mentor engineers, and drive architectural decisions.

Leads the design, development, and implementation of scalable Java backend services using Spring Boot, microservices, REST APIs, and AWS. Owns API, security, testing, architecture, technical documentation, and production incident response. Drives engineering excellence through mentoring, Agile delivery, CI/CD, containerized deployments, continuous improvement, and adoption of AI-assisted development tools.

Lead backend engineering for Coupang’s fulfillment picking systems. Design scalable microservices, distributed architectures, and machine learning pipelines supporting inventory and promise workflows. Lead complex cross-functional projects, decompose technical problems, optimize performance and fault tolerance, and operationalize highly available production systems. Mentor engineers, influence multiple teams, and promote engineering best practices across the organization.

Lead a team and portfolio building distributed microservices and cloud-based back-end systems. Collaborate with product managers, mentor engineers, drive regulatory-compliant solutions, and deliver scalable AWS-based services using Java, Go, container orchestration, databases, and CI/CD pipelines.

Lead a team building cloud-native backend systems (microservices, serverless) using Go and other languages on AWS. Own DPI automation, SDLC and test automation, SRE/CD practices, mentor engineers, collaborate with product managers, and deliver scalable GraphQL and data-driven solutions.

Lead backend engineering efforts to design, build, test, and deploy cloud-native, AI-enhanced microservices. Mentor engineers, drive architecture and technical direction, integrate LLMs and advanced AI tooling, and ensure scalable, performant omnichannel messaging platforms.