Top Tech Jobs & Startup Jobs in Chicago, IL

Leads delivery of a large, multi-project federal program valued above $150M, overseeing finances, contract performance, staffing, schedules, risks, compliance, and performance metrics. Coordinates cross-functional teams and serves as the primary agency stakeholder contact. The role also supports client satisfaction, program growth, proposal development, and strategic partnerships while ensuring delivery aligns with mission objectives and contract requirements.

Leads architecture, automation, reliability, and evolution of secure cloud platforms supporting federal systems. Owns Infrastructure-as-Code, CI/CD, observability, incident response, disaster recovery, and platform standards. Partners across engineering, security, architecture, and product teams; evaluates technologies, leads technical decisions, and mentors engineers. Requires deep DevOps, infrastructure, Kubernetes, Terraform, cloud, scripting, and production troubleshooting expertise, along with technical leadership and ability to obtain Public Trust clearance.

Lead the architecture, development, modernization, and deployment of secure enterprise software systems for federal clients. Build scalable backend applications and REST and GraphQL APIs, guide system design and technical decisions, troubleshoot complex systems, and support cloud modernization, DevSecOps, testing automation, and CI/CD. Collaborate with product, infrastructure, and security teams while mentoring engineers and translating mission requirements into technical solutions.

Implement and administer CyberArk PAM solutions, including credential vaulting, privileged session management, credential rotation, account onboarding, access policies, upgrades, patching, and health monitoring. Automate CyberArk tasks and integrations using REST APIs and scripting, support CI/CD and secrets management, troubleshoot Windows, Linux, and Active Directory environments, and document configurations and procedures for federal modernization initiatives.

Leads the evaluation, design, development, and deployment of production AI/ML applications in AWS environments. Builds and optimizes machine learning models, assesses emerging technologies, presents technical recommendations, collaborates with federal clients, and mentors engineering teams. The role also supports cloud-native development, operations, security, enterprise AI adoption, and experimentation involving modern AI platforms and practices.

Design and lead end-to-end, secure, scalable application and integration architectures for federal modernization projects. Translate requirements into architecture strategies, guide API and cloud designs, evaluate tradeoffs, mentor teams, and ensure solutions meet security, compliance, and performance needs.