Contribute code to increase the scalability and reliability of the service
Contribute software tests and participate in peer review to increase the quality of our codebase
Help and develop peers’ capabilities through knowledge sharing, mentoring, and collaboration
Participate in a regular on-call schedule, including occasional paid weekends and holidays
Practice sustainable incident response and blameless postmortems
Resolve customer issues escalated from the Red Hat Global Support team
Work within a small agile team to develop and improve SRE software, support your peers, plan and self-improve
Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling.

Bachelor's degree in Computer Science or related technical field, or equivalent experience
5+ years of experience managing Linux servers running Red Hat Enterprise Linux (RHEL), CentOS, or Fedora hosted at a cloud provider such as Amazon Web Services (AWS), Google Compute Engine (GCE), or Microsoft Azure
3+ years of experience with enterprise systems monitoring; knowledge of Prometheus is a plus
3+ years of experience with enterprise configuration management software like Ansible by Red Hat, Puppet, or Chef
2+ years of experience programming with at least one object-oriented language; Golang, Java or Python preferred
2+ years of experience delivering a hosted service
Demonstrated ability to quickly and accurately troubleshoot system issues
Solid understanding of standard TCP/IP networking and common protocols like DNS and HTTP
Solid communications skills and experience working directly with and presenting to customers.

Senior Site Reliability Engineer – Azure Red Hat OpenShift

Key skills