Top Tech Jobs & Startup Jobs in Chicago, IL

Leads large-scale full-stack engineering initiatives, including distributed microservices and cloud-native systems. Provides technical leadership across teams, shapes architecture and platform roadmaps, mentors engineers, and drives reliable, high-performance solutions. Works with product leaders and architects while using modern programming languages, databases, cloud platforms, containers, APIs, CI/CD, infrastructure as code, observability, and AI-assisted development tools.

Leads technical vision and architecture for high-volume payment systems. Designs scalable, resilient distributed platforms, modernizes monoliths into microservices and event-driven architectures, establishes API and coding standards, and drives cross-domain engineering initiatives. Provides hands-on technical leadership, mentors engineers, communicates architecture decisions, and advises senior leaders on performance, scalability, operability, cloud, and data architecture.

Designs, develops, and operates enterprise integration solutions connecting applications, APIs, data sources, and cloud platforms. Leads complex integrations across Salesforce, GCP, and other systems; defines integration standards and reference architectures; ensures scalability, resilience, availability, security, and observability; collaborates with product, software, data, infrastructure, and architecture teams; and mentors engineers while advancing automation and modern engineering practices.

Leads software engineering and architecture for Card Tech, combining hands-on development with technical mentorship. Defines technical vision, modernizes monoliths into microservices and event-driven platforms, establishes API and design standards, and drives scalable, secure, operable solutions. Partners across divisions, mentors senior engineers, evaluates AI-generated code, and leads architectural strategy and engineering excellence initiatives.

Build, deploy, scale, and operate production machine learning models and infrastructure. Responsibilities include developing ML applications, optimizing models and data pipelines, managing cloud-based distributed systems, automating testing and deployment, monitoring production models, and applying responsible AI practices. The role collaborates with Product and Data Science teams in an Agile environment and uses technologies such as Python, PyTorch, Spark, Kubernetes, and cloud platforms.

Build and lead full-stack software engineering projects for Capital One’s card authorization platform. Develop distributed microservices and cloud-based systems, establish engineering standards, partner with architects and product managers, improve system performance, reduce technical debt, and mentor engineers. The role uses modern programming languages, databases, AWS services, containers, APIs, CI/CD, observability, and AI-based development tools.

Leads data analysis and AI-readiness initiatives for the personal loans business, including data governance, quality, automation, reporting, and analytics. Manages complex data analysis projects, improves processes and customer experiences, evaluates products and marketing initiatives, and collaborates across business units. Mentors junior analysts and contributes to data system design, business intelligence, and strategic testing.

Leads full-stack engineering projects and developer teams building cloud-based, distributed microservices and customer-facing systems. Responsibilities include defining service boundaries, developing APIs and reusable frameworks, applying AWS and modern programming technologies, improving performance, reducing technical debt, setting engineering standards, mentoring engineers, and guiding Agile teams. The role also influences technology strategy, promotes operational excellence, and leverages emerging AI tooling and observability practices.

Leads full-stack software engineering initiatives using cloud technologies, distributed microservices, databases, APIs, and modern programming languages. Provides technical direction across Agile teams, mentors engineers, partners with architects and product managers, establishes engineering standards, improves system performance, reduces technical debt, and evaluates emerging technologies including AI-based development tools.

Leads data analytics and AI-readiness initiatives for the personal loans business. Responsibilities include improving data governance and quality, automating monitoring controls, building data abstraction layers, analyzing large databases, evaluating products and processes, enhancing business intelligence, and mentoring junior analysts. The role involves cross-functional collaboration, strategic testing, reporting improvements, and consulting on data systems while managing concurrent projects.