3 - 8 years
3 - 8 Lacs
Posted:10 hours ago|
Platform:
On-site
Full Time
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).
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