Sr Database Engineer

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. 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.