Top Tech Jobs & Startup Jobs in Chicago, IL

The Sr. Systems Engineer will manage the CMDB, ensuring data integrity and compliance; design processes, report data, and support audits.

The Senior ML Operations Engineer is responsible for building and maintaining ML infrastructure, model deployment processes, and collaboration with data teams to optimize predictive modeling solutions.

This role oversees the enterprise Vulnerability Management program, ensuring effective practices across the organization while providing risk-based governance. It involves partnerships with various teams to enhance VM processes and compliance with regulatory expectations.

The Staff Software Engineer will lead the development and architecture of complex systems, work with cross-functional teams, and ensure quality and scalability of applications.

Technical individual contributor and hands-on leader responsible for architecting cross-border money movement and digital asset settlement systems, resolving scalability and security challenges, mentoring engineers, shaping product and technical strategy, and ensuring resilient, compliant payment platforms across teams.

The role involves leading engineering strategies and designs, developing scalable systems, mentoring engineers, and driving technical architecture and implementation for complex solutions.

Lead the design and implementation of digital asset-enabled payment platforms, ensuring compliance with regulations and delivering scalable event-driven systems.

The Business Development and Channel Partnerships Manager ensures strong partnerships with financial services, driving Paze adoption through relationship management, negotiations, and strategic engagement.

This role is responsible for the administration and support of key third-party applications, ensuring they meet business needs and are secure. Duties include troubleshooting, application performance monitoring, managing projects, and conducting user training.

The role involves analyzing fraud methodologies, executing data analysis, and influencing change through insights. It includes managing compromised credential risks and supporting data integrity.