Sr Database Engineer

PayPalSan Jose, CA
1d

About The Position

Design, deploy, and manage high-performance database clusters (BigTable, Oracle, MySQL, Cloud SQL). Architect multi-cloud database solutions across AWS, GCP, and Azure. Build Infrastructure-as-Code (IaC) frameworks using Terraform, Ansible, Puppet, and Packer. Optimize databases through indexing, partitioning, tuning, and query improvements. Automate schema deployment and management using GitOps and CI/CD workflows. Lead incident response and implement self-healing and failover strategies. Develop observability and alerting systems using Grafana, Datadog, and Prometheus. Create Python-based automation and AI-driven optimization tools for database operations. Ensure database security, compliance, and documentation best practices. Collaborate with engineers, data scientists, and ML teams to support analytics and platform goals.

Requirements

  • 3+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience
  • Proficiency in BigTable, Oracle, MySQL/MariaDB, Hadoop, Spark, Kafka, BigQuery, and Kubernetes
  • Expertise with Terraform, Ansible, Puppet, and GitOps automation frameworks
  • Strong programming in Python and SQL; familiarity with Bash, Java, or Scala
  • Experience with AWS, GCP, and Azure environments
  • Linux system administration and distributed systems troubleshooting skills
  • Deep understanding of observability tools (Grafana, Datadog, ELK)
  • Strong focus on system reliability, performance tuning, and automation

Responsibilities

  • Design, deploy, and manage high-performance database clusters (BigTable, Oracle, MySQL, Cloud SQL)
  • Architect multi-cloud database solutions across AWS, GCP, and Azure
  • Build Infrastructure-as-Code (IaC) frameworks using Terraform, Ansible, Puppet, and Packer
  • Optimize databases through indexing, partitioning, tuning, and query improvements
  • Automate schema deployment and management using GitOps and CI/CD workflows
  • Lead incident response and implement self-healing and failover strategies
  • Develop observability and alerting systems using Grafana, Datadog, and Prometheus
  • Create Python-based automation and AI-driven optimization tools for database operations
  • Ensure database security, compliance, and documentation best practices
  • Collaborate with engineers, data scientists, and ML teams to support analytics and platform goals
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