Senior Kubernetes Platform Automation SRE Engineer

About Role

• Working within a global team, the role will be responsible for implementing IT initiatives that supports and continually improves our operational efficiency, driving automation, improving cost effectiveness, and creating operational excellence.
• Will include championing technology innovation and change, working with innovation stakeholders across the business, creating a culture of collaboration.
• Requires previous experience of implementing Kubernetes within an organization, and to be proficient with infrastructure / platform automation, with the ability to evangelize these across the organization.
• Is primarily focused on services, ensuring we meet their SLAs and efficiency targets, providing support for solutions based upon principles of high-availability, agility, scale and efficiency.

Requires working with:

• Agile frameworks
• Infrastructure As Code
• Infrastructure and Network technologies.
• Orchestration of build and deployment of containerized environments.
• Building and maintaining virtualization automation, monitoring, and reporting tools.
• Troubleshooting, resolving, and assisting in complex environmental issue resolution.
• Participation in automation initiatives driving change and efficiencies.
• Mentoring and sharing knowledge with other members of the team through retros, planning meetings and daily standups.

All About You

• 3+ years experience with building and operating on-premises Kubernetes (ideally OpenShift). CKA, CKAD, or CKS certifications a plus.
• Solid infrastructure experience. Networking, storage, and compute (ideally VMWare).
• Demonstrated ability to organize, manage, plan and control several concurrent initiatives with conflicting needs.
• Track record of successful delivery in a large enterprise environment.
• Familiarity or working knowledge of public cloud patterns (AWS/EKS, Azure/AKS); container tools (Kubernetes, Docker); pipeline tools (Jenkins, Ansible, Terraform); ancillary (Artifactory, Hashicorp Vault); logging and monitoring (Loki, ELK, Prometheus, Kibana, Splunk, Dynatrace); scripting (Python, Bash, Go).