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Tier-1 employer, mid-level DevOps role with broad popular skillset increases competition.
Core platform DevOps skills (Kubernetes, Terraform, Azure, Python) are highly transferable across industries.
Explicit 5+ years plus mandatory Kubernetes, Azure, Terraform, and tooling implies high filtering strictness.
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Design, deploy, and manage Kubernetes clusters and Azure cloud infrastructure with a focus on containerized applications and cost/resource optimization.
Build, maintain, and automate CI/CD pipelines and platform tools for data engineering and data science teams, including Python application support and infrastructure as code using Terraform.
Ensure platform security, monitoring, performance optimization, and provide mentorship to junior team members in DevOps practices and automation.
Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience.
5+ years experience in DevOps, Site Reliability Engineering (SRE), or similar roles.
Expertise with Kubernetes, Azure cloud, Terraform, Python scripting, and CI/CD tools (preferably GitHub Actions).
Proficiency with Data and AI platforms (Databricks, Snowflake), orchestration tools (Airflow, Data Factory), and monitoring tools (Splunk, Grafana, Prometheus).
Experienced in managing cloud-native applications and platforms with a strong focus on Azure and Kubernetes ecosystems.
Skilled in building automated, scalable, and secure DevOps pipelines supporting data engineering and AI workloads.
Capable of strategic collaboration and mentorship within a large, multi-disciplinary global organization.