Senior Database Engineer

Responsibilities

• Design, implement, and maintain database infrastructure using StatefulSets, Operators, and Helm charts to ensure reliability and scalability.
• 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 monitoring performance, security, and availability.
• Perform zero-downtime upgrades and migrations for major and minor releases using Helm hooks and custom scripts.
• Manage and optimize performance for backend data stores to ensure data consistency across pod life cycles.
• Develop automation tools and scripts in Python or Bash to simplify Kubernetes management tasks.

Requirements

• 4+ years of experience managing large-scale, high-availability database systems (PostgreSQL or MongoDB).
• Proficiency in Python or Bash automation scripting.

Preferred Qualifications

• Experience with Kubernetes and Helm.
• Knowledge of advanced PostgreSQL HA concepts (e.g., streaming replication, Patroni) or MongoDB sharding and replication.
• Experience with cloud providers such as AWS, GCP, or Azure.
• Experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation.
• Familiarity with monitoring tools such as Prometheus or CloudWatch.

Benefits

• Medical, Dental, and Vision Insurance.
• Flexible Time Off Program.
• Paid Holidays and Paid Parental Leave.
• Global Employee Assistance Program (EAP).

About the Company

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. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future.