Database Platform Engineer

Database Platform Engineer (Kubernetes / Database-as-a-Service)

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
.

Location: New York City or Chicago (Hybrid)

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.