Top Engineering Jobs in Chicago, IL

Administer and engineer Google Workspace in a large, complex enterprise environment. Serve as a Tier 3 escalation point, manage security policies, compliance, monitoring, automation, Chrome devices, and integrations. Lead end-to-end migrations from Microsoft platforms and between Google domains, including planning, data mapping, cutover, validation, and migration tooling. Collaborate with security and IT teams to secure and optimize Workspace services while communicating technical issues to stakeholders.

Lead the design and development of scalable full-stack systems for Genomics AI initiatives. Architect distributed microservices, build React and Node.js applications, optimize PostgreSQL and Redis systems, integrate generative AI and agentic workflows, and manage GCP infrastructure and CI/CD. Mentor engineers, guide architectural decisions, drive cross-team technical initiatives, and deliver high-quality software for precision medicine and clinical care applications.

Leads data engineers and architects while owning Tempus’s enterprise data model and data reliability. Integrates clinical, genomic, NGS, and radiology data across relational and NoSQL systems; establishes modeling, observability, quality, and documentation standards; and mentors teams through technical reviews. Partners with product and engineering leaders to prioritize work and uses AI-assisted development tools to improve modeling, testing, and pipeline delivery. Requires strong SQL, Python, modern data stack, healthcare data standards, data observability, and healthcare/genomics domain expertise.

Develop, configure, and maintain the ServiceNow platform (ITSM, HRSD). Build flows, business rules, client scripts, ATF tests, and integrations (REST/SOAP). Troubleshoot platform issues, document solutions, collaborate with cross-functional teams, and participate in Agile ceremonies.

Leads the design and development of full-stack systems supporting diagnostics and genomic data processing. Responsibilities include architecting microservices, scaling bioinformatics workflows, developing AI-assisted applications, optimizing PostgreSQL and Redis, managing GCP infrastructure and CI/CD, and integrating APIs and agentic workflows. The role also involves technical leadership, mentoring, cross-team collaboration, architectural decision-making, and bridging software engineering with computational biology teams.

Leads the technical design, development, testing, deployment, and support of Epic Aura integrations for ordering, results delivery, and healthcare data sharing. Collaborates with hospital IT teams, Epic representatives, and clinical users; manages testing cycles, supports go-live and production issues, documents workflows, and provides subject matter expertise and training. Requires Epic build experience, certification, and knowledge of clinical or laboratory interfaces, with HL7, FHIR, and Epic interoperability experience preferred.

Develop and maintain scalable Python software, integrations, and web applications. Collaborate with QA, IT operations, analysts, and stakeholders in an Agile/Scrum environment. Design technical solutions, translate workflows into requirements, participate in code reviews and Scrum ceremonies, optimize relational and non-relational database queries, troubleshoot production issues, and improve application performance and security.