Database Platform Engineer

Location: New York City or Chicago (Hybrid) 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 . What You'll Do 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 What You Bring 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 What Makes This Role Unique Opportunity to help build a modern database platform from the ground up Work with cutting-edge cloud-native infrastructure and data technologies Collaborate with engineers who are redefining how databases are operated at scale High impact role within a technology-driven investment environment If you're excited about transforming traditional database management into a scalable, automated platform , this is an opportunity to work on one of the most technically ambitious infrastructure initiatives in financial services. J-18808-Ljbffr