Senior Database Engineer

Responsibilities

• 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 automation tools and scripts (Bash, Python) specifically focused on simplifying Kubernetes management tasks, such as provisioning users/secrets and monitoring cluster state.
• Knowledge, Skills & Abilities:
• 4+ years of experience managing large-scale, high-availability database systems (PostgreSQL / MongoDB)
• Python or Bash automation scripting

Requirements

• Experience with Kubernetes & Helm
• Experience with advanced PostgreSQL HA concepts (e.g., streaming replication, Repmgr/Patroni) and/or MongoDB sharding and replication
• Experience with AWS, GCP, or Azure
• 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
• 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
• Use of Artificial Intelligence in Our Hiring Process
• DataRobot uses approved AI-powered tools to support the hiring process in selected regions. These tools

Benefits

Additional Information

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.

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Company Intel

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