Database Platform Engineer
Looking to bring on a Database Platform Engineer to join a high performance team with a top asset management firm.
Key Responsibilities
- Run and evolve database workloads on Kubernetes, including building automation through custom controllers and resources
- Deliver resilient, declarative setups across a range of databases such as PostgreSQL, SQL Server, Snowflake, ClickHouse, and Redis
- Build lakehouse components using Apache Iceberg and support cross‑engine querying through Trino
- Manage schema changes using migration frameworks like Flyway, Liquibase, or Atlas
- Implement GitOps‑driven workflows and create Kubernetes‑native dashboards and alerts
- Develop tools to smooth the transition from VM‑based and cloud‑managed databases to the in‑house platform
- Create self‑service capabilities and embed strong security patterns throughout the Kubernetes environment
Required Skills
- Hands‑on experience with several database engines across both analytical and transactional workloads
- Solid understanding of Kubernetes primitives and how they apply to stateful services
- Background with declarative infrastructure and configuration‑as‑code practices
- Proficiency in Go or Python, with experience in CI/CD and GitOps pipelines
- Familiarity with Kubernetes logging, metrics, and tracing ecosystems
Preferred Qualifications
- Operational experience running databases or other stateful systems on Kubernetes in production settings
- Exposure to writing or maintaining Kubernetes operators, especially ones tied to database systems
- Comfort with Snowflake operations, SQL Server automation, and schema‑migration tooling
- Understanding of lakehouse architectures, Trino/Presto engines, and data‑movement frameworks
- Knowledge of analytical engines (e.g., ClickHouse) and key‑value stores (e.g., Redis)
What Sets You Apart
- A platform‑first mindset grounded in cloud‑native engineering approaches
- Ability to span multiple layers-from Kubernetes internals to user‑facing tooling
- Interest in replacing traditional database operations with automation and declarative workflows
- Curiosity, flexibility, and a drive to stay ahead of emerging technologies
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