Top Engineering Jobs in Chicago, IL

Leads software engineering projects and development teams building distributed microservices, full-stack systems, and cloud-based solutions. Designs technology solutions supporting regulatory needs and customer experiences, collaborates with product managers, evaluates and writes code, mentors engineers, and promotes modern technology adoption. The role requires expertise in backend development, cloud computing, databases, container orchestration, open-source frameworks, and Agile practices.

Leads software engineering projects and developer teams building distributed microservices and full-stack cloud solutions. Collaborates with product managers, mentors engineers, addresses regulatory technology needs, and delivers customer-focused systems. Uses Go, Java, Python, JavaScript, TypeScript, SQL, AWS, Docker, Kubernetes, relational databases, and NoSQL technologies while evaluating emerging tools and AI-assisted productivity solutions.

Lead technical vision and software engineering excellence for Capital One’s Card Tech team. Build production-ready, AI-native systems; design distributed, scalable, fault-tolerant architectures and API platforms; ensure performance, security, and operability; decompose complex problems; mentor engineers; recruit talent; and share technical knowledge across the organization.

Leads software engineering projects and developer teams building distributed microservices and full-stack systems. Delivers cloud-based solutions supporting regulatory needs and customer experiences, mentors engineers, evaluates emerging technologies, and collaborates with product managers. The role uses Java, Go, JavaScript, TypeScript, SQL, Python, AWS, databases, Docker, and Kubernetes.

Lead platform engineering for Capital One’s cloud operations resilience infrastructure. Responsibilities include designing, developing, testing, deploying, and supporting full-stack technical solutions; improving engineering practices; ensuring availability, resilience, and scalability; partnering with product owners; mentoring engineers; and adopting emerging technologies. The role uses AWS, Docker, ECS, Ansible, Terraform, Jenkins, scripting languages, and networking and security technologies.

Leads technical vision and engineering excellence for a cloud-native global payments network. Designs and reviews resilient, secure, scalable, low-latency systems; decomposes complex problems; supports cloud modernization and new payment capabilities; mentors engineers; shares technical knowledge; and advises teams on architecture, performance, scalability, operability, and production-quality implementation.

Configure and support Workday across HCM, Recruiting, Compensation, Payroll, and Benefits. Partner with product owners and HR stakeholders to translate business needs into solutions, improve processes, test new capabilities, troubleshoot production issues, document implementations, and maintain calculated fields, custom reports, security, and integrations. Research Workday updates and promote automation, technical excellence, and operational efficiency.

Leads software engineering teams and a portfolio of technology projects, delivering cloud-based full-stack and microservices solutions. Responsibilities include mentoring engineers, collaborating with product managers, addressing regulatory needs, evaluating code, adopting emerging technologies, and using languages such as Java, JavaScript, TypeScript, SQL, Python, and Go alongside AWS, Docker, Kubernetes, and database technologies.

Lead backend software engineering initiatives and developers building scalable customer rewards redemption services. Drive architectural modernization toward microservices, collaborate with product, fraud, and customer experience teams, deliver cloud-based solutions, mentor engineers, evaluate code, and apply technologies including Go, Python, Java, SQL, Docker, Kubernetes, and AWS.

Lead technical vision and modernize Capital Ones CI/CD One Pipeline, design and implement build/deploy platforms, ensure performance and operability, decompose complex problems, create knowledge artifacts, mentor engineers, and drive cross-organizational engineering excellence.