DataRobot

Senior Database Engineer

DataRobot

full-time

Posted on:

Location Type: Remote

Location: Ukraine

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Job Level

Senior

Tech Stack

AWSAzureCloudGoogle Cloud PlatformKubernetesMongoDBPostgresPrometheusPythonTerraform

About the role

  • 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.

Requirements

  • 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.
  • 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
Benefits
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Hard Skills & Tools
KubernetesHelmPostgreSQLMongoDBBashPythondatabase performance tuningGitOpsIaaCcloud infrastructure management