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Database Performance Engineer - Remote US

Seamless.AI · United States, United States Of America · Remote

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The Opportunity

We’re seeking a Database Performance Engineer to join our Engineering Infrastructure team at Seamless.AI.

In this role, you’ll be responsible for optimizing database performance, scalability, reliability, and compliance across our high-traffic data systems. You’ll work closely with engineering, product, and DevOps teams to ensure seamless data flow, sub-second query times, and high availability across our PostgreSQL and OpenSearch clusters.

Your work will have a direct impact on system performance, customer experience, and operational efficiency as you identify, resolve, and prevent bottlenecks in mission-critical data environments.

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.

Skillset

  • 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.

Education & Requirements

  • 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.