Database Platform Engineer

• Design and operate database workloads running on Kubernetes, including the development of operators and custom resources to automate provisioning and lifecycle management
• Build and support high-availability database solutions across technologies such as PostgreSQL, SQL Server, Snowflake, ClickHouse, and Redis
• Develop declarative infrastructure patterns for database deployment and schema management
• Implement database schema management pipelines using tools such as Flyway, Liquibase, or Atlas
• Build GitOps-driven workflows and CI/CD pipelines for database infrastructure and platform services
• Develop observability and monitoring capabilities using Kubernetes-native tooling
• Create migration tooling to transition workloads from traditional VM environments and managed cloud services into the platform
• Design secure self-service capabilities that allow engineering teams to provision and manage databases safely within Kubernetes environments

• Strong experience working with multiple database technologies, such as PostgreSQL, SQL Server, Snowflake, ClickHouse, or Redis
• Hands-on experience with Kubernetes, including concepts such as Pods, Deployments, StatefulSets, and Operators
• Experience with infrastructure-as-code and declarative system management
• Proficiency in Python or Go, along with experience building automation and platform tooling
• Experience working with GitOps workflows, CI/CD pipelines, and modern platform engineering practices
• Familiarity with monitoring, observability, and performance tuning in distributed systems

Nice to Have

• Experience running stateful applications in production Kubernetes environments
• Experience developing Kubernetes operators or working with database-specific operators
• Knowledge of Snowflake administration, SQL Server automation, or schema migration tooling
• Familiarity with data lakehouse technologies such as Apache Iceberg and query federation tools like Trino or Presto
• Experience with analytical databases (ClickHouse) or distributed key-value stores (Redis)
• Understanding of cloud-native security and authentication patterns within Kubernetes

Tuition reimbursement, Parental leave, 401(k), Health insurance, Retirement plan, 401(k) matching, Paid time off, Vision insurance, * 401(k)

• 401(k) matching
• Dental insurance
• Flexible schedule
• Flexible spending account
• Health insurance
• Life insurance
• Paid time off
• Parental leave
• Retirement plan
• Tuition reimbursement
• Vision insurance

A leading global investment firm is building a next-generation database platform designed to modernize how database infrastructure is provisioned, managed, and scaled. This role sits within a Database Engineering group focused on building a Kubernetes-native Database-as-a-Service platform that replaces traditional manual administration with declarative provisioning, automated lifecycle management, and self-healing infrastructure. The team is creating a standardized platform that enables engineering teams to deploy and manage databases through code-defined infrastructure, GitOps workflows, and fully automated operations across multiple database technologies. This is a hands-on engineering role for someone who enjoys working at the intersection of databases, Kubernetes, and platform engineering.