Senior DevOps Engineer, IT - Data Operations Engineering

Infrastructure as Code & Cloud Platform Provisioning: Build and maintain modular Terraform components to provision cloud infrastructure and Databricks platform capabilities (workspaces, cluster policies, Unity Catalog storage credentials, secret scopes) across AWS and Azure environments.

CI/CD Pipeline Design & Orchestration: Design and operate automated GitLab CI/CD pipelines for data platform deployment, environment promotion, and approval gates. Re-host and operate Apache Airflow instances on Docker and Kubernetes (EKS/AKS).

Data Quality, Observability & Incident Response: Monitor data pipeline health, own first-line response to production alerts, build end-to-end observability across Databricks and Snowflake using tools like Datadog or Grafana, and maintain automated runbooks.

Security Operations & Cost Optimization: Embed DevSecOps practices including secrets management, least-privilege access, audit logging, and vulnerability remediation. Drive cloud cost optimization through tagging standards, right-sizing, and anomaly alerting across multi-cloud infrastructure.

Multi-Cloud & Orchestration: Advanced experience with AWS, Azure, Docker, Kubernetes (EKS/AKS), Terraform, GitLab CI, and Apache Airflow.

Data Platform Integration: Working knowledge of multi-cloud data environments including Databricks (Unity Catalog, DABs), Snowflake, ADLS Gen2, and AWS data services.

Platform Operations Lead: Drive technical debt reduction, system reliability, and automation across global data and analytics platforms.

Technical Guidance: Provide architectural direction and technical mentorship to lower-level DevOps and engineering team members.

Total Rewards Package: Competitive salary, performance-based annual incentives, comprehensive health insurance, and employee wellness programs.

Global Impact: Opportunities for career advancement within a global medical technology leader dedicated to structural heart disease innovation.