Database & Platform Engineer
Raksha SharmaRemoteSENIORPosted 1h ago
PostgreSQLKubernetesCloudNativePGPerformance TuningTroubleshootingHA/DRReplicationWALPITRStatefulSetsPVCsRBACNetworkingArgoCDGitOpsHelmKustomizeAzure DevOpsPgBouncerBackup/RestoreDatabase ReliabilityTerraformAnsibleLinuxBashPythonApache AirflowSparkPySparkSpark SQLApache IcebergPolaris CatalogTrinoOpenBaoKeycloakPrometheusGrafanaLogging
About the Role
We are looking for an experienced Database & Platform Engineer to manage mission-critical PostgreSQL environments running on Kubernetes, build highly available and reliable database infrastructure, automate deployments, and support modern Data Lakehouse initiatives.
Key Responsibilities
• Manage PostgreSQL production environments, performance tuning, backup/restore and disaster recovery.
• Operate Kubernetes-based PostgreSQL clusters using CloudNativePG or similar operators.
• Automate infrastructure and deployments using GitOps, Helm, Terraform and Ansible.
• Support data integration, CDC, metadata management and Lakehouse technologies.
• Drive monitoring, incident management, root cause analysis and production reliability.
Requirements
• 9+ years of experience in database and platform engineering
• Expertise in PostgreSQL DBA, performance tuning, and troubleshooting
• Experience with CloudNativePG, PostgreSQL HA/DR, replication, WAL, and PITR
• Strong knowledge of Kubernetes, StatefulSets, PVCs, RBAC, and networking
• Proficiency in ArgoCD, GitOps, Helm, Kustomize, and Azure DevOps
• Experience with PgBouncer, backup/restore, and database reliability
• Skills in Terraform, Ansible, Linux, Bash, and Python
• Knowledge of Apache Airflow, Spark, PySpark, and Spark SQL
• Familiarity with Data Lakehouse technologies: Apache Iceberg, Polaris Catalog, and Trino
• Experience with secrets management: OpenBao, Keycloak, and Kubernetes Secrets
• Skills in monitoring and observability: Prometheus, Grafana, and logging