Senior Staff Platform Data Reliability Engineer Databricks
Shield AI is a U.S. defense-technology company developing mission-autonomy software and autonomous aircraft for military and allied operations.
Funding history
Investors
About Shield AI
Founded in 2015, Shield AI builds Hivemind autonomy software and V-BAT and X-BAT aircraft for operations in contested, GPS- and communications-denied environments. Its current site also presents Aechelon synthetic-reality simulation and Vision Systems detection and tracking products.
Skills
About the Role
You will own operational excellence for the Databricks platform, including observability, incident support, and production runbooks. You will establish CI/CD, deployment, orchestration, security, and operational standards; improve platform health; document support models; and mentor engineers taking on platform responsibilities.
Requirements
- 12+ years of relevant experience in data platform engineering, platform operations, site reliability engineering, or cloud data infrastructure
- Hands-on production experience with Databricks or a related cloud data platform
- Experience with CI/CD, environment promotion, version control, and deployment automation for data platforms
- Understanding of observability, monitoring, alerting, incident management, and reliability engineering
- Experience with compute policy design, workload isolation, service principals, and secure production execution
- Ability to work in a regulated or security-sensitive environment with access-control, auditability, and operational requirements
- Collaboration skills for working with infrastructure, security, data engineering, and analytics stakeholders
Responsibilities
- Own operational excellence for the Databricks platform
- Define CI/CD and promotion standards for Databricks assets
- Maintain standards for orchestration, compute policies, service principals, and environment isolation
- Create reusable operational templates for new Databricks domains
- Align data-platform patterns with cloud standards
- Enforce controls for data segregation, access boundaries, and compliance
- Track and improve platform health metrics
- Document platform standards and support models
- Mentor engineers in platform responsibilities
Benefits
- Bonus
- Equity
- Benefits
