Top Backend Developer Jobs

Design, build, and operate large-scale distributed backend services focused on scalability, reliability, performance, and observability. Architect data partitioning, replication, APIs and event-driven systems; optimize latency and throughput; lead incidents, mentor engineers, collaborate with SRE/platform teams, and maintain runbooks and technical documentation.

Take end-to-end ownership of high-scale backend services powering networking infrastructure. Design, implement, and operate performant, reliable, and secure Node.js services; troubleshoot complex networking issues; participate in architecture, testing, and incident response; collaborate with engineers and stakeholders to deliver scalable solutions.

Lead design and scaling of AI-powered backend systems for document processing, entity resolution, extraction agents, and conversational interfaces. Build resilient pipelines, orchestration, observability, and evaluation tooling; make architecture decisions, mentor engineers, and partner with product to deliver production-ready applied AI workflows.

Build and operate backend AI systems: document processing pipelines, extraction agents, entity resolution, computed attributes, and conversational query interfaces. Design reliable, observable infrastructure (queues, pipelines, orchestration) at scale, optimize prompt chains and retrieval strategies, and collaborate with product and frontend teams to expose AI capabilities.

The Senior Backend Engineer will build and maintain backend services for an observability platform, ensuring high performance and reliability. Responsibilities include managing APIs, engaging with the community, and tackling technical challenges related to data processing.

Looking for a freelance Back-end Drupal Engineer with 3-5 years of experience in large-scale Drupal solutions and related technologies.

Join Adaptive as a Senior Software Engineer to lead backend projects, ensure secure and scalable systems, and align technical solutions with business needs.

Join the GTM Innovation team as a software engineer to build impactful applications, engage with customers, and enhance workflows using OpenAI's technology.

The Senior Backend Engineer will architect and implement backend systems, lead technical initiatives, mentor engineers, and ensure system reliability, performance, and scalability.

The Software Engineer will build scalable backend systems, integrate third party software, and optimize performance, aiming to enhance efficiency in the moving industry.

The Senior Backend Engineer will build and operate backend systems for AI agents, focusing on reliability, API design, and data modeling, while enhancing code quality and performance in a fast-paced environment.

This role involves developing core payment services, designing robust ledgers, ensuring high-scale reliability, and maintaining compliance in a fast-paced environment.

Modernize legacy .NET systems and build scalable backend services using Java Spring Boot and .NET Core. Design APIs and microservices, implement containerized deployments, CI/CD, automated testing, collaborate in Agile ceremonies, and ensure performance, security, and operational excellence.

Back-end developer focused on building marketing tools and improving internal processes. Analyze and enhance code, collaborate with front-end and cross-functional teams, integrate APIs (Google Analytics/Ads), support e-commerce platforms, report data to clients and leadership, and lead projects while staying current with development best practices.

The role involves building and maintaining backend systems, APIs, and integrations for Evertune's AI marketing platform, focusing on scalability and performance across various customer workflows.

Senior back-end engineers will build products and lead projects end-to-end, taking ownership from concept through launch. Candidates should drive technical direction, deliver impactful solutions, and help shape early-stage companies within the firm's portfolio.

This role involves developing and maintaining web applications using PHP, JavaScript, and SQL, while also collaborating with project managers and clients.

Design and develop scalable infrastructure and services for data pipelines and distributed systems, working on an AI/ML platform for enterprise applications.

Design, build, and maintain TypeScript/NestJS backend services and scalable APIs. Implement event-driven, asynchronous processing with queues and workers, integrate third-party APIs and webhooks, and improve platform reliability through observability, performance optimization, and production troubleshooting. Collaborate cross-functionally, own projects end-to-end, and influence long-term architecture and developer experience.

Design and implement scalable backend systems, collaborate with teams, and address performance bottlenecks while maintaining efficient code and APIs.

Lead the technical strategy for Patreon's backend platform, managing scalable distributed systems, APIs, and infrastructure. Collaborate with product teams and mentor staff engineers, emphasizing reliability and operational excellence.

Design, build, and own backend systems for blockchain and staking infrastructure. Implement APIs, Ethereum data pipelines, indexers, validator integrations, and operational tooling. Lead architecture, testing, deployment, observability, mentor engineers, and drive engineering standards and AI-assisted workflows.

Design, build, deploy, and maintain large-scale workflow platform infrastructure (e.g., Temporal, Netflix Conductor). Ensure 99.995% reliability, capacity planning, benchmarking, monitoring/alerting, production incident response, and collaborate to make the platform extensible for high-throughput, low-latency backend services.

Maintain and stabilize a legacy React Planner engine, resolve complex bugs and security issues, then design and build next-generation AI reasoning features. Own end-to-end scalable backend services, integrate generative AI/LLM capabilities, optimize system performance, participate in on-call rotations, and collaborate with product, platform, and research teams to productionize ML pipelines and agent reasoning.

Design, build, and maintain large-scale data pipelines and APIs for Ventura OS. Optimize data processing workflows, integrate ML models into production, ensure data quality and observability, and collaborate across teams to drive architecture and data infrastructure decisions for streaming and content recommendation use cases.