Top Backend Developer Jobs

Build and maintain software spanning embedded edge devices and scalable AWS cloud services. Develop Python backend systems, support Raspberry Pi environments, integrate hardware with cloud services, monitor performance, troubleshoot production issues, and contribute across infrastructure and hardware testing. The role values strong debugging, clean code, and adaptability across systems.

Develop and maintain enterprise backend applications and services using Node.js and JavaScript/TypeScript. Build REST APIs, integrate databases and external systems, write automated tests, participate in code reviews, troubleshoot production issues, improve performance, and collaborate with product, architecture, QA, and operations teams throughout the software delivery lifecycle.

Design, develop, test, and maintain enterprise back-end applications and services. Build APIs, integrate databases and external systems, participate in code reviews and automated testing, troubleshoot production issues, improve performance, and collaborate with product, architecture, QA, and operations teams throughout the delivery lifecycle.

Design, build, test, deploy, and support high-throughput Java microservices for collateral management and rehypothecation engines. Responsibilities include backend architecture, relational database design and optimization, distributed messaging, automated testing, CI/CD, containerization, observability, production incident resolution, and Agile delivery. The role requires ownership across the full SDLC and collaboration with product, quantitative, business, and engineering teams.

Develop and maintain Salesforce Commerce Cloud ecommerce websites, integrations, feeds, and platform features. Design architecture, troubleshoot performance and caching, manage domains and repositories, ensure platform compliance, mitigate project risks, and optimize site infrastructure. Collaborate with agencies and cross-functional teams while developing and mentoring junior engineers.

Design, build, test, deploy, and support high-throughput Java microservices for collateral management and financial processing. Develop scalable backend services, relational database schemas, APIs, messaging integrations, and automated testing. Optimize performance, ensure transactional integrity, participate in Agile delivery, and modernize platforms through CI/CD, containers, cloud-ready architectures, observability, and production incident remediation.

Build and scale production ML infrastructure for distributed training, inference, fine-tuning, reinforcement learning, and GPU-heavy workloads. Develop cloud-native systems, pipelines, monitoring, logging, and observability tools while optimizing reliability, performance, and cost. Collaborate with ML scientists and customers to diagnose issues and ship backend, frontend, and infrastructure improvements. The role is suited to an early-career engineer working onsite with a fast-moving AI infrastructure startup.

Develop and maintain a scalable internal LLM agent framework, including backend services, APIs, databases, integrations, observability, reliability, and parallel processing. Build automated LLM evaluation pipelines, adapt the framework for customer use cases, and collaborate with ML/NLP teams. The role requires strong production Python experience, async programming expertise, cross-service debugging, product judgment, and adaptability in a fully remote European team.

Develop scalable Django back-end applications and RESTful APIs; design databases, schemas, ER diagrams, data flows, authentication, and authorization systems. Configure cloud infrastructure and production deployments, optimize PostgreSQL performance, write automated tests, and manage Linux servers with Bash, SSH, and shell scripting. Collaborate with cross-functional teams, document systems, and contribute to scalable architecture. This is a remote, unpaid internship requiring at least 30 hours weekly.

Build and scale backend infrastructure for AI-driven freight finance workflows, including document processing, APIs, data pipelines, audit engines, integrations, observability, and performance monitoring. Collaborate with AI/ML teams to productionize model outputs, integrate freight and financial systems, improve engineering practices, and make frontend updates as needed in a remote-first startup environment.

Build scalable backend services, APIs, microservices, and event-driven solutions supporting personalization, recommendations, search, and AI-driven consumer experiences. Integrate AI/ML capabilities, develop React components, implement search using Elasticsearch or OpenSearch, and work with Kafka, databases, Redis, and cloud-native architectures. Ensure systems are secure, observable, resilient, and low latency while collaborating with AI/ML, data, and engineering teams.

Build and operate scalable backend APIs, microservices, and integration services powering personalization, recommendations, search, and AI-driven consumer experiences. Own features from design through deployment, monitoring, and support. Collaborate with AI/ML and data engineering teams, improve service performance and reliability, contribute to system design and engineering standards, and mentor junior engineers.

Build and maintain resilient, cloud-native backend services using microservices, serverless, containerized, and event-driven architectures. Design scalable APIs and distributed systems across multiple regions, optimize cloud data stores and caching, implement security and compliance practices, and manage cost and performance through FinOps. The role uses .NET and C# alongside cloud platforms, databases, containers, monitoring tools, CI/CD, infrastructure automation, and messaging technologies.

Designs, builds, and operates scalable backend services, APIs, microservices, and event-driven systems supporting personalization, recommendations, search, and AI-driven consumer experiences. Partners with AI/ML, data, product, and engineering teams; integrates search and generative AI capabilities; improves performance, reliability, observability, security, and operational excellence. Leads technical delivery, mentors engineers, contributes to architecture reviews, and promotes engineering best practices.

Build backend-leaning product features for Hex’s AI analytics platform, including APIs, CLI workflows, MCP integrations, access-control systems, enterprise administration, and full-stack product changes. Design scalable systems, implement complex business logic, collaborate through RFCs and code reviews, and contribute across the application stack. The role uses TypeScript, GraphQL, Postgres, Redis, Kubernetes, AWS, and related infrastructure technologies.

Leads backend software engineering efforts, coordinates engineers, defines technical tasks, and guides architecture and implementation. Designs scalable, secure, fault-tolerant services; improves engineering processes and standards; evaluates technical trade-offs; and contributes to roadmaps. Provides technical leadership and mentorship, manages cross-functional relationships, owns service performance and availability, participates in on-call support, and represents the company with external partners.

Design, build, and own high-throughput backend and infrastructure services for a healthcare AI agent platform. Ensure reliability, graceful degradation, observability, performance, and secure handling of sensitive patient data. Drive architecture and operate services end-to-end in production.

Build and operate high-throughput backend and infrastructure services powering healthcare AI agents. Own core platform services end to end, design for concurrency and reliability, improve performance and observability, handle sensitive healthcare data, and influence architectural decisions. The role requires production experience with distributed systems, service design, debugging across services, queues, and databases, and on-site work in New York City or San Francisco.

Design and operate scalable backend systems for purchasing, payments, subscriptions, billing, product catalogs, entitlements, usage metering, and financial data pipelines. Ensure accurate charges, product access, transaction consistency, performance, security, and auditability across global markets. Lead technical decisions from design through production while collaborating with product, design, finance, and engineering teams.

Design, build, test, and optimize scalable backend systems, APIs, databases, and production software. Deploy LLM-powered features and AI workflows, evaluate AI outputs, and use coding assistants to improve delivery. Own projects end to end, troubleshoot production issues, contribute to architecture, collaborate with business teams, communicate technical decisions, and mentor peers.

Design, build, test, and optimize scalable backend systems, APIs, databases, and production software. Deploy LLM-powered features and workflows, use AI coding tools, validate AI outputs, and evaluate emerging technologies. Collaborate with business teams, contribute to architecture and Agile delivery, resolve production issues, document decisions, present outcomes, and mentor peers.

Design and develop core system management components for MemVerge’s memory-centric infrastructure platform. Responsibilities include building configuration, monitoring, and analytics capabilities; writing unit, functional, and integration tests; resolving performance and reliability issues; collaborating with UI, UX, controller-plane, customer-facing, and solution-engineering teams; and creating scalable cloud-based architectures.

Set technical direction for enterprise platform services supporting licensing, entitlements, account administration, onboarding, provisioning, notifications, and partner workflows. Design secure, scalable multi-tenant architectures and lead cross-team technical initiatives from ambiguity to implementation. Improve reliability through observability, testing, safe deployments, incident learning, and operational documentation. Contribute hands-on through design and code reviews, mentor senior engineers, and influence engineering, product, and business stakeholders.

Leads application development and systems programming initiatives, partnering with technology and management teams to deliver enhancements and process improvements. Designs Java and microservices-based applications, establishes coding and testing standards, resolves complex technical problems, evaluates risks, and ensures architectural alignment and regulatory compliance. Provides technical guidance and mentorship to mid-level developers and analysts.

Designs, develops, and maintains scalable back-end trading applications using Java, Kotlin, Python, Spring Boot, microservices, and event-driven architecture. The role focuses on distributed systems, high availability, low latency, CI/CD, DevOps, secure coding, automated testing, observability, and production resilience. Responsibilities include leading technical discussions, conducting code reviews, mentoring engineers, and collaborating with architects, product owners, and DevOps teams to deliver mission-critical financial technology.