Database Engineer, DataRobot

• 5 years of experience managing large-scale, high-availability database systems (PostgreSQL and MongoDB) in a SaaS environment
• Deep Expertise in Kubernetes & Helm (3+ years required):
• Mandatory: Proven experience managing database deployments using Kubernetes and Helm deployments
• Strong Proficiency: Experience defining, troubleshooting, and maintaining Kubernetes resources such as StatefulSets, Pod Security Contexts (SCCs), NetworkPolicy, and custom RBAC for database Service Accounts
• Deep knowledge of advanced PostgreSQL HA concepts (e.g., streaming replication, Repmgr/Patroni) and MongoDB sharding and replication, specifically how they are implemented and configured via Helm values
• Experience managing database infrastructure on major cloud platforms (AWS, GCP, or Azure)
• Highly proficient in scripting (Bash/Python) and using GitOps principles to manage infrastructure and deployment pipelines
• Strong grasp of database performance tuning, scaling concepts, and optimizing SQL/Aggregation queries
• Container Orchestration Experience with production databases is mandatory

Desirable

• Datarobot is actively seeking a Database Engineer to join our Fleet Management team
• This is a pivotal role that requires creativity, deep technical knowledge, and great enthusiasm to manage our stateful infrastructure
• This position is an exciting opportunity to own the full lifecycle (administration, automation, and troubleshooting) of our critical database systems operating within a large-scale, multi-tenant Kubernetes environment
• You will be essential in driving our GitOps and Helm-centric deployment strategy, focusing on ensuring zero-downtime upgrades and maximizing performance and stability for our core platform services
• This role offers the perfect opportunity to hone your skills and gain direct exposure to advanced cloud database architecture and container orchestration challenges
• Design, implement, and maintain database infrastructure using StatefulSets, Operators, and Helm charts to ensure databases are reliable, self-healing, and scalable
• Own the deployment lifecycle for database clusters by managing version control for Helm charts and configuration templates
• Support and administer production database systems by proactively instrumenting and monitoring performance, security, and availability within the containerized environment
• Perform zero-downtime upgrades and migrations for major and minor releases, developing and maintaining Helm hooks and custom scripts to automate complex stateful operations
• Manage and optimize performance for backend data stores, ensuring data consistency and integrity across pod life cycles
• Develop and maintain automated backup and recovery processes, specifically designed for containerized databases, including volume snapshots and off-cluster storage integrations
• Resolve critical production issues related to container resource limits, network policies, storage classes, and database-specific tuning/configuration within a Kubernetes cluster
• Partner with application teams to implement database changes, review migrations, and ensure efficient resource utilization in the shared Kubernetes infrastructure
• Develop and maintain automation tools and scripts (Bash, Python) specifically focused on simplifying Kubernetes management tasks, such as provisioning users/secrets and monitoring cluster state