Top Tech Jobs & Startup Jobs in Chicago, IL

Lead the architecture, design, and implementation of scalable data pipelines and enterprise data assets supporting healthcare rebate and Medicaid systems. Ensure data quality, governance, security, and CMS compliance while troubleshooting complex integration and performance issues. Collaborate with engineering, analytics, business, and leadership teams to translate requirements into technical solutions. Use cloud, big data, and approved AI technologies to improve productivity, mentor teams, and support evolving healthcare and financial applications.

Lead SRE practices for highly available cloud-native platforms across AWS, Azure, and Kubernetes. Build observability, dashboards, alerting, infrastructure automation, CI/CD, GitOps, and self-healing capabilities. Lead incident response, root cause analysis, and remediation while improving reliability, scalability, and operational excellence. Partner with engineering, architecture, security, and platform teams, drive AI-enabled operations, and mentor engineers on SRE and cloud-native best practices.

Manage field-level customer relationships for third-party administrator healthcare accounts. Identify service trends, resolve eligibility and implementation issues, coordinate enrollment materials and activities, conduct enrollment meetings and health fairs, and support customer adoption of online tools. Partner with service operations and account executives to resolve escalations, improve satisfaction, maintain customer persistency, and deliver healthcare insurance expertise.

Leads enterprise data warehouse, reporting, analytics, and transaction-processing architecture and modernization. Designs scalable on-premises and cloud solutions, modernizes ETL and SQL into Python automation, oversees BI delivery, and establishes DevOps and CI/CD practices. Provides hands-on technical leadership across development, testing, deployment, performance, security, and support. Leads proof-of-concepts, produces architecture documentation, presents recommendations, and mentors architects, engineers, developers, analysts, and testers.

Administer, architect, optimize, secure, and automate PostgreSQL, MySQL, and Snowflake databases in Azure. The role develops resilient database solutions for healthcare applications, manages performance, access controls, encryption, backups, and disaster recovery, and creates technical documentation. It collaborates across Scrum teams, presents solutions to stakeholders, evaluates emerging technologies, uses approved AI tools, solves complex database challenges, and mentors junior engineers.

Leads technical delivery of Master Data Management solutions using Informatica MDM and PowerCenter. Designs and implements ETL mappings, workflows, transformations, data quality processes, governance practices, SQL data marts, and Python automation. Oversees MDM specialists, monitors production jobs, troubleshoots operational issues, supports testing and validation, tunes performance, documents technical solutions, and collaborates with state agencies, QA, business teams, and project leadership.

Lead architecture and technical strategy for GenAI and Amazon Connect implementations. Translate business requirements into scalable conversational AI solutions, design integrations across CRM/WFM/data layers, validate development outputs, support testing/UAT, and promote reuse, security, and performance across cloud-based GenAI and digital routing systems.

The Director will define AI strategies, lead development of AI agents, drive engineering enablement, and ensure solutions meet business objectives while aligning with enterprise standards.

Lead design and delivery of cloud-native Java/Spring adjudication services. Decompose legacy systems, build APIs, ensure observability, reliability, and security. Drive CI/CD, containerized deployments, AI-assisted engineering, cross-team coordination, documentation, and production support for high-volume transactional claim workflows.

Build and deploy AI-powered, LLM-based solutions in client environments. Implement integrations between models, APIs, and healthcare systems, write production-ready code, support testing and deployments, assist data preparation and prompt configuration, troubleshoot issues, and collaborate with cross-functional teams and clients to deliver scalable, secure solutions and enable knowledge transfer.