Top Remote Backend Engineer Jobs in Chicago, IL

Develop, scale, and maintain core backend APIs within a TypeScript/NestJS monolith for supply chain modules (OMS, WMS, MES). Implement secure payment and logistics integrations, caching with Redis, async/event-driven workflows, and observability (OpenTelemetry, Prometheus, Loki). Support AI agent orchestration and ensure transactional integrity using PostgreSQL.

Own backend systems and infrastructure end-to-end, designing, deploying, and scaling performant APIs and services on AWS using Node.js and TypeScript. Deliver reliable production code quickly, establish engineering best practices, make architectural tradeoffs, and collaborate with product engineers and stakeholders. The role emphasizes system ownership, scalability, performance, reliability, and effective use of AI-assisted development tools.

Design and develop the backend of the vCluster Platform using Go and deep Kubernetes expertise. Own features end to end, from technical design through release, while solving complex systems and multi-tenancy challenges. Contribute to open-source projects and Kubernetes community initiatives, build scalable isolation and resource-sharing solutions, and operate autonomously in a fast-growing startup environment.

Design and build scalable backend services and AI-powered applications using Node.js/TypeScript or Python. Develop AI agents, agentic workflows, LLM integrations, tool calling, evaluation frameworks, REST APIs, microservices, and event-driven services. Partner with Product and Business teams, provide architecture guidance and code reviews, lead an offshore engineering pod, and optimize backend and AI workloads for reliability and performance. The role is onsite in Rhode Island or Arizona.

Senior Backend Engineer responsible for designing scalable Java Spring microservices, implementing features, resolving defects, and improving backend architecture. The role involves event-driven systems, relational and NoSQL databases, testing, code quality, mentoring engineers, technical leadership, and collaboration with product teams. Engineers will also validate AI-assisted code, promote AI development practices, and work with cloud-native tools across AWS, Docker, Kubernetes, and continuous delivery systems.

Senior backend engineer responsible for designing and implementing new features, scaling and optimizing the platform, improving Postgres and Elasticsearch performance, fine-tuning LLMs, and making architectural decisions. Collaborate with engineering team, take ownership of features, write performant, maintainable code, and help shape product and infrastructure for data-intensive applications (NLP, search, indexing).

Build and maintain backend services, REST APIs, data layers, tests, and microservices for a SaaS platform. Responsibilities include debugging distributed production systems, managing PostgreSQL and advanced data stores, documenting APIs and data models, participating in Agile development and code reviews, and owning a platform domain. The role requires Java or Kotlin, Spring Boot, API design, database optimization, monitoring, security tooling, and AI-assisted development. Preferred experience includes Go, Neo4j, RabbitMQ, Redis, multi-tenant SaaS, event-driven systems, microservices, and containerization.

Design, build, test, and support EPIC integration solutions across the full interface lifecycle. Gather requirements, resolve integration issues, develop standards and documentation, and provide production support within a remote, volunteer, part-time setup.

Develop and operate backend systems supporting post-transaction processing for Affirm Card. Break down projects, write tested and extensible code, collaborate with product and engineering teams, monitor system health, troubleshoot issues, participate in on-call support, and contribute to code reviews and team development.

Build and maintain automated ETL/ELT data pipelines, improve data quality and monitoring, optimize Postgres and BigQuery schemas and queries, develop internal tooling, support data governance (HIPAA), participate in on-call rotation, and collaborate across engineering teams to scale data systems.

Create challenging coding tasks for AI systems, implement deterministic solution verifiers, and contribute backend expertise across feature development, bug fixing, refactoring, performance optimization, testing, and security reviews. The role requires strong programming and software engineering skills, with cybersecurity experience in secure coding, application security, penetration testing, vulnerability assessment, or security-focused code reviews preferred.

Build and secure scalable backend services and APIs while debugging, optimizing performance, implementing features, refactoring codebases, and conducting security reviews and penetration testing. The role also involves automated testing, code review, vulnerability assessment, and contributing domain expertise to training next-generation AI systems.

Develop and maintain scalable Java backend systems using Spring Boot and microservices architecture. Collaborate with customer teams, review specifications, write clean code, participate in code reviews, document solutions, and troubleshoot and optimize backend performance, reliability, and security. The role also contributes technical expertise to training next-generation AI systems, though prior AI experience is not required.

Lead architecture and hands-on development of scalable backend systems and APIs supporting real-time applications at massive scale. Own the full engineering lifecycle, establish standards for reliability and testing, troubleshoot production issues, influence technical roadmaps, collaborate cross-functionally, and mentor engineers. The role requires deep backend development, distributed cloud systems, system design, automated testing, and technical leadership experience.

Design and implement Mojo language features, compiler optimizations, and multi-target compilation for CPUs, GPUs, and AI accelerators using MLIR and LLVM. Collaborate with kernel authors, hardware engineers, researchers, and the open-source community to improve language design, code generation, performance, developer experience, and the broader Mojo SDK.

Design, build, and operate backend services for Bestow’s insurance platform using Python, Go, Java, and PostgreSQL. Collaborate on technical decisions, integrations, carrier onboarding, and scalable platform capabilities. Mentor engineers through reviews and pairing, improve production reliability and observability, participate in on-call support, and communicate technical decisions in a remote-first environment. Use agentic AI coding tools daily and help establish effective AI-assisted development practices.

Build, test, ship, and operate production backend features with minimal guidance. Design APIs, background jobs, integrations, data models, migrations, and bounded services while maintaining security, performance, observability, and reliability. Review code, improve automated testing, investigate production issues, address technical debt, participate in operational support, and collaborate asynchronously with product, frontend, infrastructure, and security teams. Use AI coding tools responsibly by validating and correcting generated output.

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.

Design, build, test, operate, and improve reliable backend services and APIs. Lead projects from definition through deployment, make scalability and reliability tradeoffs, improve observability, investigate production issues, and collaborate with cross-functional teams to deliver customer-focused solutions.

Design, build, test, and operate scalable backend services and APIs. Lead complex projects, make architecture and reliability tradeoffs, improve observability and incident response, collaborate cross-functionally, influence technical direction, mentor engineers, and drive durable improvements to production systems and developer experiences.

Owns delivery of backend money movement and card ledger systems, leading engineers through complex problems and ambiguity. Collaborates with product, design, analytics, and engineering stakeholders; defines scalable technical solutions; supports system availability, monitoring, on-call operations, code quality, and engineering standards. The role also includes mentoring and developing team talent while building highly available distributed systems for Affirm’s financial products.

Leads architecture and hands-on development of scalable backend systems and APIs supporting real-time applications. Owns the engineering lifecycle, writes high-performance code, establishes testing and reliability practices, resolves production issues, guides technical roadmaps, collaborates cross-functionally, and mentors engineers. The role requires expertise in object-oriented backend development, distributed cloud systems, automated testing, system monitoring, and technical leadership.

Designs and scales high-performance backend web services and ETL pipelines supporting tens of thousands of transactions per second. Responsibilities include architecting fault-tolerant distributed systems, improving performance, developing monitoring and deployment strategies, collaborating across product and engineering teams, and supporting recruiting and onboarding. The role requires expertise in data-intensive systems, microservices, cloud architectures, and commercial SaaS products.

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.