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Tier-1 brand, metro location, mid-level SRE title, and broad multi-cloud skillset increase candidate competition.
Core SRE and cloud skills are widely transferable across industries.
Explicit 3–5 years requirement plus mandatory cloud, Kubernetes, and Python automation skills makes filtering strict.
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Ensure reliability, availability, and performance for Ocean & Enablement (O&E) platform applications and shared services.
Develop and maintain automation tools (Python, Ansible, shell) and manage workloads on AWS, Azure, or GCP ensuring cost-efficiency and reliability.
Participate in incident management including on-call rotations, root cause analysis, and defining SLIs, SLOs, and error budgets; enhance observability using Prometheus, Grafana, ELK.
Bachelor’s degree in Computer Science, Engineering, or related field.
3–5 years of experience in SRE, DevOps, or Cloud Infrastructure roles.
Strong programming skills in Python and familiarity with cloud platforms (AWS, Azure, or GCP).
Experience with Docker, Kubernetes, Infrastructure as Code (Terraform/Ansible), and observability tools (Prometheus, Grafana, ELK, Datadog).
Experienced in multi-cloud environments managing containerized workloads and infrastructure automation.
Proficient in incident response, troubleshooting, and implementing reliability through automation and observability.
Familiar with AIOps, AI/ML-driven automation, and cloud cost optimization to contribute to advanced SRE practices.