Jobs → Data & Analytics → Data Platform DevOps Engineer

About the Role We are looking for an experienced Data Platform DevOps Engineer to join our growing technology team. This role focuses on building, automating, scaling, and maintaining enterprise-grade data infrastructure. Key Responsibilities • Build and maintain cloud infrastructure on AWS, Azure, or GCP • Implement Infrastructure as Code using Terraform or Pulumi • Manage containerized applications with Docker, Kubernetes, and Helm • Develop and maintain CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI • Work with data platforms including Snowflake, Databricks, and BigQuery • Implement data engineering solutions with Apache Spark, Airflow, and dbt • Set up and maintain GitOps practices with ArgoCD or Flux • Configure and monitor systems with Prometheus, Grafana, and Datadog • Write automation scripts in Python, Bash, or Go Requirements • 8–15 years of experience in Cloud Infrastructure and DevOps Automation • Strong hands-on experience with Kubernetes and modern Data Platform ecosystems • Ability to build, automate, scale, and maintain enterprise-grade data infrastructure • Experience with at least one major cloud provider (AWS, Azure, or GCP) • Proficiency in Infrastructure as Code tools like Terraform or Pulumi • Experience with containerization technologies (Docker, Kubernetes) • Knowledge of CI/CD pipeline tools and practices • Familiarity with data platforms and data engineering tools • Experience with GitOps and monitoring tools • Strong scripting skills in Python, Bash, or Go