Top Tech Jobs & Startup Jobs in Chicago, IL

Design, build, and support AWS cloud infrastructure, CI/CD pipelines, IaC, containerized deployments, and observability. Automate provisioning and deployments, implement DevSecOps practices, troubleshoot production issues, mentor engineers, and adopt AI-enabled tooling to improve delivery velocity, reliability, and developer productivity.

The Staff Reliability Engineer will enhance data platform reliability through automation, incident management, and observability in a hybrid work setting.

The Senior AI Machine Learning Engineer will design and implement MLOps services, build AI solutions, and lead collaborations across multiple teams to enhance customer experiences.

The Senior Data Engineer will design, develop, and maintain robust data pipelines, collaborate with teams, and enhance data architecture.

Lead defense of complex workers' compensation litigation, from case inception through trial. Conduct substantive legal research, draft pleadings, motions and briefs, prepare witnesses and evidence, advise clients and claims teams, and independently develop and present defense strategies in Illinois (with Indiana/Wisconsin experience a plus).

The Senior Data Scientist will prototype machine learning models, evaluate emerging technologies, collaborate with business stakeholders, and mentor juniors while working on AI and computer vision innovations.

Senior technical leader owning end-to-end platform strategy, architecture, and delivery for Digital Enablement. Hands-on coding, driving modernization to cloud-native, API/microservices/event-driven designs, embedding AI-first practices, ensuring reliability, observability, and engineering excellence while mentoring teams and influencing cross-functional stakeholders.

Perform reserve studies for specialty financial lines (D&O, E&O, Cyber, EPL, Fidelity), monitor portfolio performance, develop reserving diagnostics and tools, partner with Claims and Pricing to evaluate reserve adequacy, analyze emerging claim trends and significant losses, and drive improvements in data quality, monitoring, and actuarial processes while translating analyses into actionable business insights.

The AVP, Software Engineering Lead oversees the engineering strategy focusing on AI-first approaches, driving modernization and efficiency in software development while ensuring governance and risk management.