About Us
Our Database Engineering team builds and operates the database services that support applications, research, and analytics across the firm.
Our services span SQL Server, PostgreSQL, ClickHouse, Snowflake, and Redis/Valkey, alongside Apache Iceberg. We combine production database expertise with automation and platform engineering to make these services reliable, secure, and straightforward to use.
The Role
We're looking for an experienced database engineer to help build and improve our database platform while taking ownership of production systems. You'll bring depth in at least one database technology, practical coding skills, and experience using automation and platform engineering practices to improve how services are delivered and operated.
You'll work across database performance, availability, security, and recovery, while building reusable tooling for provisioning, configuration, deployments, and lifecycle management. A central part of the role is turning recurring operational work into tested, maintainable automation and self-service capabilities.
A key initiative is bringing SQL Server onto Kubernetes. You'll contribute to its design, testing, and rollout, working with infrastructure colleagues on storage, resilience, monitoring, upgrades, and recovery.
Key Responsibilities
· Engineer and operate production database services, including performance tuning, high availability, replication, security, backup, and recovery.
· Build automation for database provisioning, configuration, patching, upgrades, and maintenance using code and infrastructure-as-code tools.
· Develop version-controlled workflows for infrastructure, configuration, and schema changes, with testing, review, controlled deployment, and drift detection.
· Contribute to the design, testing, and production rollout of SQL Server on Kubernetes.
· Improve observability and incident response; investigate database and infrastructure issues and address their underlying causes.
· Plan and execute database migrations, upgrades, failover exercises, and recovery tests.
· Build shared tooling and self-service workflows that help application teams use database services safely and consistently.
· Work with application, infrastructure, and security teams to translate requirements into reliable services and practical engineering improvements.
Required Skills & Experience
· Strong hands-on experience engineering and operating production databases, with depth in at least one relational engine such as SQL Server or PostgreSQL
· A sound understanding of database internals and operational fundamentals, including query performance, indexing, concurrency, availability, replication, security, and recovery.
· Practical coding skills in Python, PowerShell, Bash, or a comparable language, with examples of automation or tooling that improved production operations.
· Experience using infrastructure-as-code or configuration-management tools to provision and manage services.
· Experience with Git and CI/CD practices, including testing, reviewing, and safely deploying changes.
· Working familiarity with containers and Kubernetes, and an interest in operating stateful workloads.
· Sound production judgment, structured troubleshooting, and clear communication with application and infrastructure engineers.
Preferred Skills and Experience
· SQL Server experience, particularly performance tuning, Always On availability groups, replication, or security hardening.
· Experience across multiple database technologies, including PostgreSQL, ClickHouse, Snowflake, Redis/Valkey, or Apache Iceberg.
· Experience running databases or other stateful services on Kubernetes, including storage, availability, upgrades, and recovery.
· Experience with Terraform, Ansible, GitOps, or database deployment tools such as Flyway, Liquibase, or Atlas.
· Experience building self-service workflows, APIs, or monitoring and operational tools for engineering teams.
What Will Help You Succeed
· You take ownership of how systems behave in production, including how they fail and how they are recovered.
· You combine database expertise with a platform mindset: solving recurring problems through reusable services, clear interfaces, and maintainable automation.
· You make practical trade-offs between standardization, reliability, delivery speed, and the needs of individual workloads.
· You work constructively across teams and are comfortable learning unfamiliar database technologies.