Top Backend Developer Jobs

Build and manage backend applications powering Chariot’s identity and payments platform. Design APIs and scalable backend systems, establish engineering standards, improve monitoring and alerting, generate product and technology initiatives, and collaborate directly with founders, product managers, and engineers. Own projects end to end, including planning and delivery within an Agile/Scrum environment.

Build and maintain backend applications and platform components for Chariot’s identity and payment network. Design scalable APIs and backend systems, establish engineering standards, improve monitoring and alerting, generate product and technology initiatives, and deliver projects in an Agile/Scrum environment. The role involves high ownership and direct collaboration with founders, product managers, and engineers.

Build and scale backend features for a B2B SaaS marketing attribution platform. Design and implement server-side functionality, troubleshoot architecture, work across the full development lifecycle, and ensure clean, secure, and scalable code in a collaborative remote team.

Designs and scales enterprise backend services, data platforms, pipelines, and distributed processing solutions. Leads architecture, graph-based data initiatives, Snowflake implementations, engineering standards, code reviews, CI/CD, testing, and AI-assisted development. Partners with technical and business stakeholders, ensures security and regulatory compliance, optimizes platform performance, and mentors engineers.

Design, build, deploy, and operate scalable backend services, APIs, microservices, integrations, and cloud-native applications for enterprise learning platforms. Responsibilities include database design, security, testing, CI/CD, observability, troubleshooting, performance improvements, architecture reviews, and production support. The role collaborates cross-functionally and uses AI-assisted development tools to improve software delivery while maintaining quality and reliability.

Design and operate high-throughput, low-latency backend services for Walmart’s offer-selection and pricing systems. Build Kafka, Flink, BigQuery, and Airflow pipelines; productionize machine-learning models; conduct experimentation and A/B testing; and develop reliability and analysis tooling. Lead technical designs, code reviews, deployments, and cross-functional discussions across Search, Product Pages, and Recommendations.

Develop and maintain scalable Node.js backend applications, RESTful APIs, database integrations, and secure services. Write clean, testable code, automated unit and integration tests, and optimized SQL queries. Participate in architecture discussions, code reviews, CI/CD practices, troubleshooting, and Agile ceremonies while collaborating with cross-functional engineering teams.

Build and own Sodalis’s application platform for specialty pharmacy workflows. Responsibilities include modeling prescriptions and insurance primitives, developing configuration-driven backend services and APIs, defining versioned contracts, enabling safe customer-specific rollouts, and ensuring zero-downtime changes in a live healthcare system. The role involves architecture, system design, data modeling, and close collaboration with founders, engineers, solutions teams, and pharmacies.

Build and own backend services for payment processing and identity verification in production. Responsibilities include secure coding, cloud infrastructure as code, automated deployments, payment authorization and reconciliation, reliability monitoring, performance optimization, incident response, architecture direction, production development, and on-call support.

Lead development of scalable backend services and data platforms using Scala and Rust. Design distributed systems, APIs, data pipelines, and security-data workflows; guide Scala-to-Rust migration; support Python-based malware analysis, threat detection, and machine learning systems. Own production reliability, architecture, code quality, reviews, deployment, observability, and incident response in a cloud-native environment.

Lead design, build, and operate backend agentic systems that analyze large-scale time-series telemetry. Own product from customer discovery through shipping. Implement APIs, distributed job execution on Kubernetes, sandboxed code execution, context/memory management, evaluation suites, and observability while integrating frontier models and scaling agent workloads.

Design and build scalable platforms for high-frequency data ingestion, develop database solutions, and pioneer data architecture while collaborating on engineering standards.

Own and ship backend systems and agentic AI features for telemetry analysis: design agent tool interfaces, build distributed job execution on Kubernetes, implement APIs and MCP server, integrate frontier models, and build evaluation and observability for production agent workloads.

As a Staff Backend Engineer, you'll design and build scalable platforms for processing sensor data, define engineering standards, and collaborate on backend system development.

Build and maintain backend services powering AI agents for finance workflows. Own a product module from design through production, develop prompts, tools, evaluation suites, and safety controls, and collaborate with accounting professionals to automate their workflows. Contribute to front-end development when needed. The role is full-time, on-site in New York City five days per week.

Develop backend microservices, APIs, cloud infrastructure, and fine-grained authorization systems primarily in Go. Implement SpiceDB-based permission models, zero-downtime migrations, event-driven services, SQL schemas, and production reliability improvements. Collaborate with web, embedded software, QA, and product teams while documenting designs and reviewing code. This is a three-month, on-site contract role.

Design and build Databricks Model Serving infrastructure for scalable, low-latency CPU and GPU inference. Lead architecture, technical roadmaps, performance optimization, autoscaling, routing, caching, observability, deployment workflows, and operational excellence. Collaborate with product, platform, infrastructure, and research teams, drive high-impact initiatives, establish engineering best practices, and mentor engineers while influencing the broader AI platform strategy.

Develop backend software, APIs, custom tools, systems, and scalable applications using modern architectures and open-source frameworks. Responsibilities include writing and enhancing code, reviewing and debugging merge requests, automated testing, identifying risks, and contributing to Agile development. The role supports complex data solutions, integrations, CI/CD pipelines, and mission-focused client systems. A TS/SCI clearance, 5+ years of software development experience, and a bachelor’s degree or equivalent experience are required.

Design, develop, and maintain scalable backend applications using PHP and Laravel. Build RESTful APIs, PostgreSQL schemas and queries, third-party integrations, automated tests, and Dockerized services across AWS. Monitor application health, troubleshoot defects, participate in code reviews, improve CI/CD workflows, and document technical processes. Collaborate with product, frontend, QA, and DevOps teams in a remote Agile/Scrum environment to deliver reliable software supporting clinical workflows.

Develop and maintain backend services and APIs for LabArchives ELN, inventory, and scheduler products. Build primarily with Node.js while contributing to Ruby on Rails code, database development, testing automation, security reviews, and performance evaluations. Collaborate with product, operations, support, and frontend teams to plan, develop, test, and release scalable features. The role requires strong backend and database expertise, API design knowledge, and cross-functional communication.

Designs and builds large-scale backend services for an enterprise software platform, owning systems from architecture through production reliability. Responsibilities include planning highly scalable and responsive multi-service platforms, influencing architecture across teams, communicating technical tradeoffs, and developing backend components for AI-driven automation. Requires hands-on production backend engineering experience, senior or staff-level expertise, and experience with LLMs, AI, machine learning systems, or agentic workflows.

Build the operator control plane for an enterprise AgenticOps platform, including real-time AI interfaces, network topology visualizations, streaming pipelines, backend-for-frontend layers, authentication, RBAC, and human-in-the-loop controls. Integrate agent frameworks, model endpoints, automation tools, and enterprise platforms while optimizing frontend performance and AI-assisted development workflows.

Develop and support scalable TypeScript and Node.js backend services, REST APIs, enterprise integrations, decision services, and data pipelines. Implement secure multi-tenant architecture, cloud-native deployments, CI/CD, event-driven processing, testing, monitoring, and reliability practices. Collaborate with engineering teams and client stakeholders while using AI-assisted development tools. The role requires production ownership, strong English communication, and availability around December 1, 2026.

Develop and operate scalable backend services for electromagnetic simulation platforms. Responsibilities include API unification, simulation data management, scheduler and task-pipeline integration, hybrid cloud and on-premise HPC solutions, high-performance cluster optimization, and scalable web APIs. The role requires production experience with backend engineering, cloud platforms, distributed systems, and end-to-end service ownership. This is an on-site senior position in Madison, Wisconsin.

Develop and maintain Python backend services, REST APIs, PostgreSQL databases, Docker containers, and OpenShift deployments. Design schemas, APIs, migrations, and integrations; troubleshoot production issues; improve security, performance, accessibility, and reliability; write tests and documentation; participate in Agile delivery and code reviews; and mentor developers. The role requires collaboration with customers, product owners, operations, and security teams while supporting mission-driven applications for an intelligence community customer.