Database Performance Engineer - Remote US
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Requirements
• 5+ years of experience as a Database Engineer, Database Administrator (DBA), or Performance Engineer working on PostgreSQL in production. • Deep understanding of query planning, indexing strategies, and PostgreSQL internals. • Experience with OpenSearch, Elasticsearch, or other document-based databases (preferred). • Strong knowledge of SQL optimization, database partitioning, replication, and caching strategies. • Hands-on experience with performance profiling, benchmarking tools, and observability stacks. • Proficiency in scripting or automation tools (Python, Bash, Ansible, Terraform). • Familiarity with cloud-based database services (AWS RDS, Aurora, or GCP Cloud SQL). • Solid understanding of data security, compliance, and access control principles. • Excellent problem-solving skills and ability to work in fast-paced, cross-functional environments. • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience). • Proven experience managing and optimizing large-scale production databases. • Strong collaboration skills with Engineering, DevOps, and Security teams. • U.S. work authorization required (Visa Sponsorship not included). • Check out what our employees think about working at Seamless: CLICK HERE • Since 2015, Seamless.AI has helped sales teams maximize revenue with the world’s first real-time B2B search engine. As one of Ohio’s fastest-growing companies, we’ve earned top industry accolades, including G2’s 2025 Best Software Products (#1 Highest Satisfaction Product), Purpose Jobs’ 2024 Best Places to Work, and LinkedIn’s Top 50 Tech Startups (2020, 2022, 2023). We are committed to a diverse, inclusive workplace and do not discriminate based on race, religion, gender, sexual orientation, age, or other protected statuses. Visa sponsorship is not available; applicants must be authorized to work in the U.S.
Responsibilities
• Design, implement, and optimize SQL queries, stored procedures, and indexes to achieve low-latency performance. • Fine-tune PostgreSQL configurations for maximum throughput and minimal resource utilization. • Collaborate with backend and infrastructure engineers to diagnose and resolve performance issues. • Manage and optimize large-scale database clusters, including replication, sharding, and partitioning. • Ensure database uptime, backup, recovery, and disaster recovery objectives (RTO/RPO) are consistently met. • Set up and monitor performance metrics, alerts, and dashboards (e.g., using pg_stat_statements, Prometheus, Grafana). • Conduct capacity planning and load testing to prepare for traffic spikes and data growth. • Partner with Security and Compliance teams to ensure database access, data encryption, and retention policies meet regulatory standards. • Develop and maintain documentation for database configurations, maintenance routines, and operational procedures. • Support query performance reviews and educate developers on best practices for writing efficient SQL. • Optimize integrations between relational (PostgreSQL) and document-based (OpenSearch, Elasticsearch, MongoDB) systems. • Participate in incident response and postmortem analysis to continuously improve reliability.