Top Senior Level Software Software Engineer Jobs in Chicago, IL

The Senior Software Engineer will design and execute technical solutions, oversee projects, and lead software development while collaborating with cross-functional teams to deliver quality software for Arrive's products.

As a Senior Software Engineer, you'll lead high-impact projects, own the full lifecycle of software development, mentor engineers, and collaborate cross-functionally to enhance systems and customer experiences.

Lead full-stack engineering for Studio: design, build, and own APIs, backend services, and React/TypeScript product features on AWS. Drive architecture and technical direction, lead projects end-to-end, mentor teammates, leverage AI-assisted development, troubleshoot production issues, and collaborate with product and cross-functional teams to deliver customer-focused outcomes.

Lead and manage a team of full‑stack and backend engineers to design, build, and maintain scalable Java/Python applications and ETL/data pipelines. Own production stability, monitoring, incident response, and CI/CD-driven deployments. Partner with product, QA, and clients to deliver API-driven microservices, mentor engineers, drive sprint planning, and contribute to architecture and long‑term technical strategy.

The Senior Software Engineer will design and maintain backend systems, lead AI-assisted development, and collaborate with cross-functional teams. They will own projects and make architectural decisions while mentoring peers.

Design, build, and maintain People systems automations and integrations (Workato, Workday, Greenhouse, Slack) using production-quality code. Improve CI/CD, reliability, observability, and AI-driven automation (Claude, MCP). Serve as technical lead for People Technology, partner with stakeholders, and drive scalable, maintainable automation solutions.

Design and develop backend services and APIs for identity resolution, optimize event-driven systems, and enhance system reliability. Mentor engineers and influence architectural decisions.

The Engineering Manager will lead a team developing web applications and AI tools, optimizing product-led growth strategies and enhancing the developer experience.

Lead reliability, scalability, and operational excellence of large-scale database platforms across cloud and on-prem. Build automation-first database infrastructure (Kubernetes operators, IaC, GitOps), drive monitoring/SLOs, incident leadership, performance and cost optimization, and partner with application teams on safe schema/migration practices. Mentor engineers and evaluate AI-assisted workflows to improve productivity and reliability.

Lead design and implementation of the PSA Liquidity Platform connecting buyers and sellers. Build buyer tooling, matching/ranking engines, and seller experiences. Architect and operate microservices and Kafka-driven systems on Kubernetes/AWS, instrument observability, apply AI tooling across the SDLC, and drive cross-functional delivery from 0-to-1 while owning end-to-end outcomes.