Senior Database Engineer

DataRobot R&D is a hard-working, fast-moving, fun-loving team of developers who put products before pride. Job Description: DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future. Datarobot is actively seeking a Senior 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. Key Responsibilities:

• Design, implement, and maintain database infrastructure.
• 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 automation tools and scripts.

Knowledge, Skills & Abilities:

• 5+ years of experience managing large-scale, high-availability database systems (PostgreSQL / MongoDB) in cloud environments (AWS, GCP, or Azure)
• Experience with Kubernetes & Helm
• Experience with advanced PostgreSQL HA concepts (e.g., streaming replication, Repmgr/Patroni) and/or MongoDB sharding and replication

Nice to have:

• Hands on experience in using version control systems, configuration management tools and IaaC such as Terraform, CloudFormation
• Experience using database tools such as pgAdmin, Pgbench, Robo3t, Studio3t, MongoDB Ops Manager and Mongo mirror
• Experience with prometheus, cloudwatch and monitoring tools both within kubernetes and external cloud managed infrastructure

The talent and dedication of our employees are at the core of DataRobots journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees well-being at the core. Heres what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more! DataRobot Operating Principles:

• Wow Our Customers
• Set High Standards
• Be Better Than Yesterday
• Be Rigorous
• Assume Positive Intent
• Have the Tough Conversations
• Be Better Together
• Debate, Decide, Commit
• Deliver Results
• Overcommunicate

Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates... even if you do not check every box. Wed love to have a conversation with you... DataRobot is proud to be an Equal Employment Opportunity employer... All applicant data submitted is handled in accordance with our Applicant Privacy Policy. Apply now