Top Backend Developer Jobs

Build and own Java-based enterprise integrations connecting workflow applications with customer systems through REST and SOAP services. Develop reliable backend services, data mappings, transformations, validations, and optimized SQL. Lead testing, deployment, troubleshooting, and production support while mentoring developers, setting technical standards, guiding workstreams, and collaborating with analysts, project leaders, front-end teams, and customer stakeholders.

Lead backend initiatives for ComfyUI and Comfy Cloud, building distributed systems that support millions of AI workflows. Design scalable data models, solve performance and optimization challenges, ship user-facing features rapidly, and influence technical direction. Responsibilities include securing community-developed custom nodes, scheduling heterogeneous workflows across GPU nodes, and building backend services. The role uses Python, Go, Kubernetes, and Postgres, with opportunities to contribute to open-source ComfyUI.

Designs, develops, integrates, tests, deploys, and supports scalable backend software and web applications. Builds RESTful APIs with Django, contributes to architecture, documents technical work, and supports production services using Kubernetes, EKS, and AWS. Mentors junior engineers, collaborates with stakeholders and QA, evaluates performance metrics, supports releases, and presents technical decisions to internal and external audiences. The role requires independent judgment and occasional nights or weekends.

Architect, develop, test, and support scalable backend applications and services. Lead complex projects, define cross-team architecture, manage workstreams, estimate staffing and schedules, resolve production issues, and collaborate with Product, Design, Operations, and Data Science. Mentor junior engineers, assign tasks, identify testing and system-impact risks, and independently deliver ambiguous, large-scale software projects.

Build and maintain backend services and metadata pipelines supporting data discovery, governance, and AI/ML workflows. Responsibilities include integrating relational databases, developing Java, Node.js, and Python services, optimizing distributed pipelines, implementing Terraform infrastructure, supporting GitLab CI/CD, and writing comprehensive tests. The role also involves troubleshooting scalability and reliability issues, designing asynchronous workflows, and collaborating on modern data lake, search, metadata, and LLM-enabled technologies.

Design, build, and maintain Python backend services processing real-time outage data for enterprise customers. Develop APIs and message-queue integrations, analyze data, troubleshoot production issues, improve operational systems, and participate in technical design, testing, documentation, and code reviews. Own features from design through production in a startup environment focused on distributed systems, scalability, reliability, and critical infrastructure operations.

Designs and delivers secure, scalable backend services for Globus’s cloud-based data management and automation platform. Responsibilities include architecting asynchronous APIs and data services, developing and testing Python software, deploying and operating highly available SaaS and PaaS systems, supporting users, reviewing code, mentoring engineers, and optimizing performance. The role also contributes to cross-service integration, documentation, project planning, recruitment, and on-call support.

Build and maintain Go backend microservices for Mirantis’ multi-tenant GPU infrastructure control plane. Responsibilities include designing REST APIs and database schemas, implementing Temporal workflows and event-driven services, managing authentication and authorization, writing comprehensive tests, instrumenting production services, and packaging deployments with Docker, Helm, and Kubernetes. The role also involves code reviews, incident debugging, and cross-regional collaboration.

Develop and maintain backend services, APIs, data workflows, and infrastructure for a multi-product software platform. Collaborate with research and engineering teams, support data collection systems, operate data-heavy services in production, and take initiatives from concept through launch while improving reliability and scalability.

Leads a feature team through requirements analysis, architecture, implementation, testing, deployment, and production support. Designs maintainable software components, contributes to bank-wide architecture, develops prototypes, writes clean and tested code, and supports continuous delivery automation. Works across interfaces, services, databases, APIs, and legacy systems while applying agile practices, data engineering, and AI-assisted development. Provides technical leadership, on-call support, and promotes continuous learning and improvement.

Build and own backend infrastructure, data storage layers, scalable architecture, and production features for a financial technology platform. The engineer will design systems, extend and harden the codebase, ship production-quality code with significant autonomy, collaborate with founding leadership, and help shape engineering culture and future hiring. The role is onsite in San Francisco with opportunities for technical leadership.

Design, develop, and maintain scalable backend services, REST APIs, server-side applications, and database systems. Improve performance, reliability, monitoring, and security; integrate third-party services; write tested code; troubleshoot production issues; and contribute to code reviews and engineering best practices. Collaborate with frontend, DevOps, QA, and product teams while deploying and operating applications using cloud infrastructure, Docker, and CI/CD pipelines.

Design, build, and maintain scalable backend services, REST APIs, server-side applications, and database systems. Improve performance, reliability, security, monitoring, and logging; integrate external services; write tested code; review implementations; troubleshoot production issues; and collaborate with frontend, DevOps, QA, and product teams. The role also involves Docker, CI/CD, cloud deployments, and potentially Kubernetes, infrastructure as code, and event-driven systems.

Build and operate Python backend services, REST APIs, clinical data models, and batch or event-driven pipelines. Work with FHIR and HL7 healthcare data to support reliable integrations, reporting, analytics, and AI workflows. Establish data quality, validation, governance, lineage, monitoring, and auditability practices. Lead architectural discussions, review implementations, mentor engineers, and collaborate with clinical, product, analytics, and AI teams.

Build, test, maintain, and deploy backend services for Eulerity’s marketing automation platform. Own features end-to-end, use AI agents and LLM tools for development, integrate third-party APIs, contribute product ideas, collaborate cross-functionally, and support documentation and knowledge sharing.

Own the backend platform from system design through production release. Build reliable services, data workflows, interfaces, asynchronous jobs, automated tests, and secure access controls. Set technical direction and roadmap priorities, troubleshoot systems at scale, and collaborate with product, design, and UI teams. Support junior engineers through coaching, feedback, and documentation while contributing primarily to server-side development.

Design, build, and maintain reliable backend systems; optimize performance, scalability, and security; implement testing and CI/CD; collaborate with product, design, engineering, and customer success; mentor engineers; contribute to technical direction and customer-focused requirements; and participate in on-call rotations.

Build production-grade AI and agentic systems for healthcare workflows. Responsibilities include designing data pipelines, evaluation harnesses, model deployment and monitoring systems, and scalable LLM- and vision-based applications. The role spans backend and full-stack development, AI agent orchestration, experimentation, training pipelines, and frontend integration while collaborating with ML researchers and engineering teams.

Designs, builds, deploys, and operates highly scalable backend workflow platforms and distributed services in AWS. Responsibilities include using Java and Spring Framework, supporting orchestration systems such as Temporal and Netflix Conductor, optimizing reliability and performance, managing observability and incidents, scaling infrastructure, and collaborating across engineering teams. The role also involves technical leadership, mentoring engineers, and guiding architecture and delivery.

The role involves designing and developing high-performance web apps, improving user interfaces, maintaining component libraries, and ensuring code quality through comprehensive testing and collaboration with other teams.

Lead development of high-performance financial trading applications and Order Management System features across Java backends and JavaScript frontends. Responsibilities include architecture, performance optimization, troubleshooting, code reviews, mentoring, technical planning, documentation, and collaboration with product managers and engineers. The role requires full-stack engineering experience, strong testing and problem-solving skills, and knowledge of the financial trading ecosystem.

Develop backend software for signal acquisition and processing products used in movement science and human health. Responsibilities include designing software components, integrating and testing APIs, implementing data management strategies, developing communication drivers for custom PC peripherals, and translating research concepts into commercial products. Candidates should demonstrate object-oriented design, backend development experience, problem-solving ability, and proficiency in Java, C#, or C++.

Build and operate backend APIs, a reusable integration platform, security-tool connectors, MCP capabilities, and event-driven services. Own GraphQL federation, permissions, multi-tenant access, reliability, observability, vendor API resilience, and production operations. Collaborate across engineering, product, and security teams while mentoring other engineers and contributing to technical standards.

Build and operate backend services for licensing, entitlements, provisioning, access control, multi-tenant administration, MSP/MSSP workflows, audit logging, and notifications. Design reliable cloud-native systems using Docker, Kubernetes, and relational databases, while contributing to observability, incident response, documentation, testing, and platform security. Collaborate across engineering, product, and design teams and mentor less experienced engineers.

Design and build highly scalable, low-latency backend systems, APIs, microservices, and infrastructure serving millions of users. Collaborate with product, infrastructure, and data teams, make architectural decisions, mentor engineers, drive cross-team projects, and improve systems handling high request volumes. Work with Java, relational databases, cloud infrastructure, Kubernetes, CI/CD, infrastructure as code, caching, and messaging technologies.