Top Backend Developer Jobs

Design, develop, and maintain scalable back-office trading applications using Java, Kotlin, Python, microservices, and event-driven architecture. Implement secure coding, trunk-based development, feature flags, TDD, BDD, CI/CD, DevOps, and automated testing. Build high-availability, low-latency systems using messaging platforms and cloud-native technologies. Collaborate on architecture, conduct code reviews, assess vulnerabilities, optimize observability and deployment pipelines, and mentor junior engineers.

Develop and lead backend Java development for a high-volume margin calculation platform supporting financial risk management. Responsibilities include technical design, performance optimization, concurrency, batch and event-driven processing, testing, production support, resiliency improvements, code review, mentoring, and cross-functional delivery. The role requires ownership of business-critical functionality while meeting security, regulatory, audit, and technology-control requirements.

Senior backend engineer responsible for owning complex SaaS features end to end, from problem definition through production delivery. The role involves building reliable, scalable backend systems, designing APIs, optimizing performance, writing comprehensive tests, handling production issues, and applying safe deployment practices. The engineer will use AI tools in development, collaborate across engineering, product, and design, improve team workflows, document technical decisions, and mentor or support broader engineering capabilities.

Build and operate backend services and APIs for secure, multi-tenant administration workflows, including user access, account hierarchies, settings, roles, access controls, and audit logs. Own features from design through production support, applying strong data modeling, authorization, testing, observability, and reliability practices. Collaborate with Product and engineering teams, investigate production issues, document systems, and mentor teammates.

Build and operate Go backend services for E2B’s enterprise orchestration platform. Develop distributed workflows, Kubernetes deployment automation, fleet-management tools, APIs, data models, observability, and recovery capabilities across AWS, Google Cloud, and Azure. Own production reliability, testing, on-call responsibilities, and customer deployment escalations while reducing manual operations through automation and self-service tooling.

Build and operate high-performance Python and FastAPI backend services that ingest, process, store, replay, and distribute real-time radar sensor data. Own streaming pipelines, telemetry, geospatial views, sensor coordination, and platform architecture while ensuring low latency, reliability, security, and scalability. The role also involves end-to-end production ownership and collaboration on edge computing, cloud, and defense technology systems.

Design and build scalable backend systems and real-time data processing services, plan architectures for rapid growth, productionize machine learning and AI components, improve engineering standards, and help evolve the core platform with company founders. The role requires backend or distributed-systems experience, ownership of high-throughput systems, database capacity planning knowledge, startup experience, and the ability to independently scope and ship work.

Build and maintain scalable backend services, APIs, microservices, data models, and full-stack features for a real estate CRM platform. Responsibilities include translating product requirements into secure systems, writing automated tests, debugging, optimizing performance, reducing technical debt, participating in code reviews and Agile ceremonies, and collaborating with product, design, QA, and engineering teams. The role uses Ruby, .NET, TypeScript, React, databases, API technologies, and AI-assisted development tools.

Architect and build high-scale backend systems for payments, fraud detection, compliance, and user management. Lead cross-domain architecture decisions, optimize distributed microservices for reliability and performance, mentor engineers, establish engineering standards, and collaborate with product and compliance teams. The role requires expertise in Python, databases, cloud infrastructure, distributed systems, event-driven architectures, system design, and financial integrations.

Design, build, and operate reliable backend services, APIs, data models, and workflows for billing and financial systems. Improve correctness, traceability, observability, performance, and resilience across revenue-critical integrations. Collaborate with Product, Finance, Operations, Data, and engineering teams; support production systems through on-call participation; mentor junior engineers; and leverage AI technologies for engineering and operational automation.

Build and maintain scalable full-stack web applications, including responsive interfaces, backend APIs, distributed services, cloud infrastructure, CI/CD, observability, and automated testing. Integrate customer-facing and internal tools with robotics data, telemetry, and control systems. The role requires ownership of infrastructure deployments and incident response while collaborating across product and robotics teams in a demanding early-stage startup environment.

Staff Backend Engineer responsible for architecting complex backend systems, setting engineering standards, developing data-intensive applications, and scaling GenAI products. The role leads technical roadmaps, cloud infrastructure, testing, observability, and AI coding-tool adoption while mentoring engineers and partnering across engineering, product, and business teams.

Design, build, and own complex backend systems for a healthcare claims platform. Contribute to architecture, coding standards, testing, observability, infrastructure, and system health. Collaborate with product, data, DevOps, and business teams while mentoring engineers and using AI coding tools to improve productivity.

Build and ship full-stack sourcing products with a backend focus, including domain models, APIs, event-driven services, data systems, and ERP integrations. Collaborate with product, design, frontend, and QA teams; review AI-generated code; ensure system quality, type safety, and reliable testing; adapt across product areas; document decisions; and mentor engineers.

As a Backend/AI Engineer, you'll integrate LLMs, optimize document processing pipelines, and improve API design for document understanding tasks.

Founding backend engineer responsible for prototyping and productionizing AI-powered systems for mainframe and COBOL modernization. The role includes shipping agentic features end to end, establishing testing and reliability standards, translating ambiguous problems into working systems, and leading architecture and technical direction with the CTO. The engineer will collaborate with enterprise customers and subject matter experts across multiple industries.

Design, build, and maintain scalable backend services and APIs using Go for an AI platform. Collaborate on system architecture and integrations, optimize performance and reliability, write tested and documented code, support security and compliance, participate in code reviews, and share knowledge in a fast-paced agile startup environment.

Build and enhance a cloud-hosted distributed data platform using Java, Spring Boot, gRPC, Cassandra, and AWS services. Design scalable, low-latency backend systems; optimize P90/P99 latency; model data; troubleshoot production issues; and evaluate OLAP, vector, and graph database technologies. Clearly communicate technical decisions and system architecture.

Build and maintain cloud-native backend applications using Java or Python and AWS. Develop REST APIs and microservices, design databases, automate deployments, and support resilient multi-region enterprise data platforms. Responsibilities include AWS service integration, CI/CD, infrastructure as code, workflow orchestration, disaster recovery, data reconciliation, retention, archiving, and lifecycle management.

Build and own the Python backend for an AI-powered private equity solution. Integrate LLMs and multi-step agent workflows, develop data ingestion pipelines, optimize reliability and performance, and collaborate with cross-functional teams. Translate business needs into technical designs, communicate tradeoffs to non-technical stakeholders, present work to clients, and contribute to architecture and technical leadership.

Build and maintain backend systems for a B2B platform using TypeScript, Node.js, Fastify, MongoDB, and REST/RPC APIs. Define product requirements with stakeholders, translate UX specifications into technical scopes, lead project execution, optimize data models and queries, and own the full software development lifecycle. Apply testing, refactoring, architecture, and cloud-computing practices while collaborating closely with engineers and cross-functional teams.

Develop and maintain server-side applications, APIs, event-driven services, and backend integrations. Responsibilities include analyzing architecture, optimizing performance, writing scalable and secure code, troubleshooting application and database issues, supporting testing and monitoring, documenting implementations, and collaborating with senior engineers, technical leaders, and frontend developers. The role also contributes to user training and stays current with backend development technologies.

Lead backend software engineering for JPMorganChase’s Commercial and Investment Bank. Responsibilities include designing, developing, testing, debugging, and reviewing secure Java applications; improving operational stability and automation; applying AWS and cloud-native practices; promoting AI-assisted engineering with responsible validation; and evaluating architectural solutions with vendors and internal teams.

Own the reliability and architecture of Speak’s subscription payment systems across Paddle, RevenueCat, Stripe, and mobile app stores. Build provider integrations, ensure idempotent webhooks and reconciliation, implement monitoring and runbooks, lead incident response, and establish payment engineering standards. Partner with growth, product, finance, and support on monetization and reporting while mentoring engineers and defining the payments roadmap.

Build and maintain payments infrastructure, including usage tracking, pricing, billing, payment providers, and stream-processing services. Collaborate with Finance, Tax, Growth, Sales, and engineering teams to support compliance, reporting, experiments, and customer payments. Plan migrations, debug complex production billing issues, and safely evolve live systems handling money. Requires Python expertise, backend development experience, software and system design knowledge, testing and security fundamentals, and strong problem-solving ability.