Senior Performance Database Engineer
New
Based in United StatesFull-TimeSenior
Salary140,000 - 175,000 USD per year
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Job Details
- Experience
- 10+ years of experience as a DBA or performance-focused database engineer
- Required Skills
- PostgreSQLPythonSQLBashMySQLGrafanaPrometheusTerraformDatadog
Requirements
- Bachelor’s degree in Computer Science, Information Technology, or related field
- 10+ years of experience as a DBA or performance-focused database engineer in large-scale environments
- 8+ years of hands-on experience with MySQL, PostgreSQL, and AWS RDS/Aurora
- Strong expertise in SQL performance tuning, indexing, schema optimization, and execution plan analysis
- Experience working in cloud environments such as AWS, Azure, or GCP
- Proficiency in Infrastructure as Code tools such as Terraform or CloudFormation
- Strong scripting skills in Python or Bash for automation and operational tooling
- Deep understanding of database internals including replication, locking mechanisms, and storage engines
- Experience designing and operating high-availability and disaster recovery architectures
- Familiarity with observability and monitoring platforms such as Datadog, Prometheus, Grafana, or equivalent
- Knowledge of regulated environments and compliance frameworks such as HIPAA and SOX
Responsibilities
- Design, optimize, and maintain high-performance MySQL, PostgreSQL, Aurora, and RDS database systems across AWS and on-prem environments
- Perform advanced performance tuning including query optimization, indexing strategies, schema design improvements, and execution plan analysis
- Diagnose and resolve complex performance bottlenecks across CPU, memory, storage, I/O, and replication layers
- Architect, implement, and maintain high-availability and disaster recovery solutions, including PITR, cross-region failover, and backup strategies
- Automate database provisioning, patching, monitoring, backups, and non-production data refresh using Infrastructure as Code and scripting tools
- Build and maintain CI/CD pipelines for database schema changes, version control, and compliance workflows
- Monitor system performance using observability tools such as CloudWatch, Datadog, Prometheus, and Grafana
- Conduct capacity planning, workload analysis, and cost optimization for cloud database services
- Collaborate with engineering teams to optimize SQL queries, data access patterns, and database usage best practices
- Ensure compliance with regulatory requirements including SOX and HIPAA for data security, encryption, and auditing
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