Description:
The day-to-day responsibilities of an SRE involve working with live systems and coding automation. As an SRE you will be expected to:
- 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
What You Will Bring
- A bachelor's degree in Computer Science or a related technical field involving software or systems engineering is required. However, hands-on experience that demonstrates your ability and interest in Site Reliability Engineering are valuable to us, and may be considered in lieu of degree requirements. You must have some experience programming in at least one of these languages: Python, Golang, Java, C, C++ or another object-oriented language. You must have experience working with public clouds such as AWS, GCP, or Azure. You must also have the ability to collaboratively troubleshoot and solve problems in a team setting.
- As an SRE you will be most successful if you have some experience troubleshooting an as-a-service offering (SaaS, PaaS, etc.) and some experience working with complex distributed systems. Direct experience with Kubernetes or OpenShift is a plus. We like to see a demonstrated ability to debug, optimize code and automate routine tasks. We are Red Hat, so you need a basic understanding of Unix/Linux operating systems.