Top Remote Software Engineer Jobs in Chicago, IL

Build and maintain core products and collaborate on larger consulting projects using TypeScript, Python, FastAPI, Next.js, GCP, and generative AI frameworks. The role involves hands-on software development within a rapidly growing, remote team serving Saudi Arabia and the GCC.

Work directly with the founder to design and build core product features: integrations that pull license data, automation to file renewals/applications, data cleaning with AI, dashboard and alerting UX, and establish engineering practices for testing, deployments, and security. Term contractor role with potential conversion to full-time based on performance.

Develop and maintain a mission-critical .NET financial web application. Responsibilities include full-stack development with C#, ASP.NET, JavaScript, and jQuery; SOAP/XML integrations; Oracle SQL and PL/SQL database work; secure coding; unit testing; production troubleshooting; Agile delivery; documentation; and collaboration with product, business, and testing teams.

Enhances Akamai’s platform core services by designing and implementing scalable, highly available software for data collection, streaming, processing, telemetry, delivery, and visualization. Develops full-stack applications and highly concurrent systems using Java and cloud technologies, optimizes performance, supports distributed network services, and troubleshoots complex production issues. The role focuses on security, scalability, low latency, and high throughput.

Own and improve Glydways’ Bazel monorepo infrastructure across C++, Python, and Go. Responsibilities include implementing remote caching and remote build execution, optimizing build and test performance, maintaining toolchains and dependencies, supporting embedded cross-compilation, improving CI/CD workflows with AWS and Buildkite, developing developer automation, monitoring build health, and participating in on-call support.

Design, build, deploy, and operate secure cloud-native microservices for Cyderes’ Security-as-a-Service platform. Translate customer and business needs into technical requirements, develop APIs, manage containerized workloads across major cloud providers, improve testing and CI/CD, and participate in code reviews, mentoring, documentation, security practices, and on-call production support.

Develops and operates scalable Azure cloud platforms integrating specialized partner technologies. Responsibilities include implementing features, participating in code reviews, applying testing and debugging practices, analyzing telemetry and incidents, using AI-assisted development tools, and contributing to deployment automation. The role collaborates with engineers, product managers, and partners to deliver reliable services for enterprise and AI infrastructure workloads.

Develop and maintain integrations across modern .NET services and legacy .NET Framework applications. Build REST APIs, event-driven services, shared libraries, and synchronous or asynchronous workflows. Own work through testing, deployment, production support, and on-call rotations. Contribute to API standards, platform architecture, documentation, code reviews, and onboarding. Use AI-assisted coding tools daily across development, testing, reviews, and documentation.

Build and independently deliver complex software features using Ruby on Rails and React. Own technical solutions, clarify requirements, contribute to system design, and support deployments and production operations. Optimize performance, reliability, security, and scalability while maintaining databases, AWS infrastructure, web servers, monitoring, and CI/CD pipelines. Implement SSO integrations and compliance requirements, troubleshoot Linux environments, evaluate technologies, and mentor less experienced engineers.

Build and maintain full-stack software using TypeScript, Go, and Python, including backend, frontend, and architectural development. Collaborate with developers, designers, product managers, and Department of Defense stakeholders to develop AI-powered solutions, take products from concept to launch, conduct code reviews, and support customers through travel when needed.

Develop and maintain digital marketing technology using Adobe Experience Manager and Adobe Campaign. Build reusable AEM components, templates, workflows, audience segments, email templates, and customer journeys. Integrate Adobe Experience Cloud solutions, participate in testing and deployments, and help triage production issues. Collaborate with engineers, architects, designers, analysts, and quality engineers in an Agile environment to deliver scalable marketing websites and data-driven digital experiences.

Design, develop, and modernize SaaS products for the life sciences industry using C#, .NET, React, SQL, and AWS. Build clinical data solutions integrating EHR, FHIR/HL7, and claims data. Apply microservices, event-driven architecture, DevOps, automated testing, and domain-driven design. Use generative AI throughout software delivery while maintaining rigorous human review, security, observability, and quality standards. Mentor engineers, participate in code reviews, support deployments, and collaborate in Agile teams.

Develop and maintain Java and Spring-based applications, Angular front ends, REST services, microservices, SQL integrations, and loyalty platform components. Participate in Agile planning, design, coding, documentation, testing, estimation, mentoring, and process improvement. Work with cloud platforms, message queues, Docker, Kubernetes, and build management tools while collaborating with product teams and third parties.

Build and scale backend systems, APIs, infrastructure, and applications for multimodal sensing and AI intelligence platforms. Responsibilities include processing sensor, audio, video, and environmental data; supporting data pipelines and model inference; ensuring reliability, scalability, and data integrity; and contributing to engineering standards and long-term technical strategy.

Build and scale AI-native healthcare products through full-stack applications, backend services, data pipelines, and AI systems. Design, test, deploy, and operate production-ready software, run A/B tests, automate manual workflows, and collaborate with product, operations, and AI/ML teams. The role requires end-to-end ownership of scalable, secure, reliable systems and features, with a focus on performance, data integrity, clean code, and measurable business outcomes.

Build and operate scalable data pipelines, backend services, APIs, and infrastructure powering AI-driven healthcare applications. Design distributed data systems, ETL workflows, streaming platforms, and cloud-native architectures while partnering with AI, machine learning, and product teams. Own production reliability, observability, security, automation, and on-call support for business-critical systems.

Investigates customer escalations, performs root-cause analysis across complex Java codebases, and delivers production-ready fixes. Uses AI-assisted tools for log analysis, defect diagnosis, code remediation, test generation, and validation. Communicates issue status, documents resolutions, maintains knowledge content, supports teammates, and contributes to product enhancements. The role includes periodic after-hours and weekend pager coverage.

Build Tailscale’s internal AI-enablement tools, workflows, guardrails, and documentation. Partner with engineering leadership and teams to define the AI roadmap, evaluate coding agents and models, improve adoption, and measure effects on velocity and quality. The role involves developing internal developer-facing automation, teaching and influencing engineers, identifying high-leverage AI opportunities, and promoting safe use of AI-generated code in a distributed engineering organization.

Develops, enhances, tests, debugs, deploys, and supports enterprise mainframe applications using COBOL, IDMS, DB2, and related technologies. Troubleshoots production issues, collaborates with end users to define requirements, ensures performance and security, applies Agile practices, and mentors junior developers. The role supports remote personnel serving a Kansas City, Kansas customer and requires the ability to obtain and maintain Public Trust clearance.

Build and scale Netflix TVUI test infrastructure, including orchestration services, CLI tools, device fleets, observability, and large-scale test execution. Develop screenshot, end-to-end, performance, and on-device testing capabilities; improve parallelization, sharding, test selection, stability, and runtime performance. Own system reliability, incident response, and strategic infrastructure investments while collaborating with TV UI engineers across a distributed team.

Join as the founding full-stack engineer to extend a TypeScript React/Next.js prototype, design product features, integrate AI/OCR, write tests and infrastructure, talk to users, and iterate quickly to drive growth.

Build and maintain secure, scalable backend systems for Mindbody products. Design microservices, write tested and maintainable code, monitor applications, participate in reviews, and collaborate with Product, Design, QA, and Engineering teams. The description also includes leadership responsibilities such as managing backend development teams, coaching managers and engineers, establishing delivery processes, and driving technical and organizational improvement.

Build and maintain Python services, REST APIs, batch jobs, shared libraries, claims workflows, and internal applications. Develop maintainable, unit-tested code; write SQL for MySQL databases; participate in design, code review, deployment, and production support; and collaborate across departments. The role also involves handling sensitive healthcare data, using AI-assisted development tools responsibly, and working in a regulated pharmacy benefits domain.

The Software Engineer - AI Systems will design and implement systems to coordinate LLMs, build testable software stacks, conduct research, and collaborate with team members to create AI-powered security solutions.

Build and operate full-stack systems for an AI-powered offensive security platform. Responsibilities include developing React frontends, TypeScript APIs, Kotlin and Go backend services, deploying on AWS, designing scalable systems, optimizing databases, supporting production, and owning features from concept through deployment. The role involves close collaboration with AI and security researchers in a fast-paced remote startup.