Join our dynamic team as a Senior Enterprise Operations Engineer, a pivotal role focused on operating, scaling, and enhancing enterprise-grade multi-cloud platforms. This position requires a blend of cloud engineering, DevOps, SRE principles, and automation expertise. You will be instrumental in ensuring the stability and performance of complex cloud environments, managing incidents, and driving operational excellence.

This role involves working in a two-shift rotation: Sunday to Wednesday, 06:30 am to 06:30 pm (with alternating Sundays), and Thursday to Sunday, 06:30 am to 06:30 pm (with alternating Sundays).

You will be accountable for the stability and reliability of our production cloud platforms, leading complex incident resolutions across cloud and container environments. Responsibilities include implementing SRE best practices, driving root cause analysis, and ensuring platform resilience. You'll also provide advanced troubleshooting for CI/CD pipelines, manage large-scale AWS, Azure, and hybrid cloud platforms, and perform advanced Kubernetes operations. Enhancing observability platforms, implementing AIOps-driven solutions, and managing cloud security incidents are also key aspects of this role.

Additional duties involve building and maintaining infrastructure as code, developing automation scripts, and serving as a technical escalation point for L1 teams. You will lead incident and problem management processes, adhering to ITIL best practices, and maintain comprehensive operational documentation.

Mandatory qualifications include holding at least two of the following certifications: Certified Kubernetes Administrator (CKA), AWS Certified Solutions Architect – Associate, AWS DevOps Engineer – Professional / SysOps Administrator – Associate, Microsoft Azure Solutions Architect Expert, or Azure DevOps Engineer Expert. Candidates lacking the minimum two active certifications will not be considered.

Required technical skills span cloud platforms (AWS, Azure, multi-cloud architecture), Kubernetes and containers (EKS, AKS, OpenShift, Helm, Docker), CI/CD tools (Jenkins, GitHub Actions, GitLab CI, Azure DevOps), infrastructure as code (Terraform, CloudFormation), observability platforms (Dynatrace, Datadog), scripting (Python, Bash, Go), and SRE principles (SLIs, SLOs). Strong problem-solving, troubleshooting, and communication skills are essential for success in this global, 24x7 operational model.