Cloud DevOps Engineer (AWS + Python) Hybrid

U.S. Bank; Englewood (CO); Hybrid; USD 120,000 - 141,000; Full time

Benefits offered by this job

Healthcare and retirement benefits

Paid vacation and holidays

Disability and parental leave

401(k) employer contributions

Job summary

U.S. Bank is seeking a Cloud DevOps Engineer, AWS & Python, to join the ISS DevOps / Cloud Enablement Engineering Team. This hands-on role troubleshoots AWS infrastructure, develops Python-based solutions, and improves CI/CD processes while collaborating across teams.

The successful candidate will work with source-control tools, apply security practices, and contribute to both immediate issues and long-term projects, including AI-assisted development.

Qualifications

• Five or more years of hands-on AWS cloud engineering experience.
• Two or more years of Python development experience for automation and cloud use cases.
• Three or more years of CI/CD experience.
• Experience with source-control and artifact-management processes.
• Ability to work with cross-functional teams and solve complex engineering problems.

Responsibilities

• Troubleshoot complex AWS cloud infrastructure and DevOps issues.
• Develop Python code to automate cloud and automation tasks.
• Improve CI/CD processes and development workflows.
• Collaborate with application and technology teams to solve problems.
• Review existing code and build reusable self-service solutions.
• Design and implement secure cloud engineering practices.
• Use AI-assisted tools to aid solution design and troubleshooting.
• Perform root-cause analysis across environments.

Skills

AWS cloud engineering

Python development

CI/CD

Troubleshooting AWS

DevOps collaboration

Education

Bachelor's degree

Tools

GitHub

Artifactory

Job description

U.S. Bank is seeking a Cloud DevOps Engineer, AWS & Python, to join the ISS DevOps / Cloud Enablement Engineering Team. This hands-on role troubleshoots AWS infrastructure, develops Python-based solutions, and improves CI/CD processes while collaborating across teams.

The successful candidate will work with source-control tools, apply security practices, and contribute to both immediate issues and long-term projects, including AI-assisted development.