Database Performance Engineer - Remote US

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  • Company Seamless.AI
  • Employment Full-time
  • Location 🇺🇸 United States nationwide
  • Submitted Posted 1 week ago - Updated 1 day ago
<h2><strong><img style="max-width: 100%;" src="https://seamlessai-public.s3.us-east-2.amazonaws.com/Paid+Media/2023-10_Greenhouse_Awards-Banner_CI.webp" alt="" width="600"></strong></h2><h2><span style="color: #0065f2;"><strong>The Opportunity</strong></span></h2><p>We’re seeking a Database Performance Engineer to join our Engineering Infrastructure team at Seamless.AI.</p><p>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.</p><p>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.</p><h2><span style="color: rgb(0, 101, 242);"><strong>Responsibilities</strong></span></h2><ul><li>Design, implement, and optimize SQL queries, stored procedures, and indexes to achieve low-latency performance.</li><li>Fine-tune PostgreSQL configurations for maximum throughput and minimal resource utilization.</li><li>Collaborate with backend and infrastructure engineers to diagnose and resolve performance issues.</li><li>Manage and optimize large-scale database clusters, including replication, sharding, and partitioning.</li><li>Ensure database uptime, backup, recovery, and disaster recovery objectives (RTO/RPO) are consistently met.</li><li>Set up and monitor performance metrics, alerts, and dashboards (e.g., using pg_stat_statements, Prometheus, Grafana).</li><li>Conduct capacity planning and load testing to prepare for traffic spikes and data growth.</li><li>Partner with Security and Compliance teams to ensure database access, data encryption, and retention policies meet regulatory standards.</li><li>Develop and maintain documentation for database configurations, maintenance routines, and operational procedures.</li><li>Support query performance reviews and educate developers on best practices for writing efficient SQL.</li><li>Optimize integrations between relational (PostgreSQL) and document-based (OpenSearch, Elasticsearch, MongoDB) systems.</li><li>Participate in incident response and postmortem analysis to continuously improve reliability.</li></ul><p><span style="color: rgb(0, 101, 242);"><strong><img style="max-width: 100%;" src="https://pbs.twimg.com/media/Fci2aBSXgAAJYK2?format=jpg&amp;name=small" alt="" width="288"> <img style="max-width: 100%;" src="https://pbs.twimg.com/media/Fbl-PVrWYAA5xdr?format=jpg&amp;name=small" alt="" width="288"></strong></span></p><h2><span style="color: rgb(0, 101, 242);"><strong>Skillset</strong></span></h2><ul><li>5+ years of experience as a Database Engineer, Database Administrator (DBA), or Performance Engineer working on PostgreSQL in production.</li><li>Deep understanding of query planning, indexing strategies, and PostgreSQL internals.</li><li>Experience with OpenSearch, Elasticsearch, or other document-based databases (preferred).</li><li>Strong knowledge of SQL optimization, database partitioning, replication, and caching strategies.</li><li>Hands-on experience with performance profiling, benchmarking tools, and observability stacks.</li><li>Proficiency in scripting or automation tools (Python, Bash, Ansible, Terraform).</li><li>Familiarity with cloud-based database services (AWS RDS, Aurora, or GCP Cloud SQL).</li><li>Solid understanding of data security, compliance, and access control principles.</li><li>Excellent problem-solving skills and ability to work in fast-paced, cross-functional environments.</li></ul><h2><span style="color: rgb(0, 101, 242);"><strong>Education &amp; Requirements</strong></span></h2><ul><li>Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).</li><li>Proven experience managing and optimizing large-scale production databases.</li><li>Strong collaboration skills with Engineering, DevOps, and Security teams.</li><li>U.S. work authorization required (Visa Sponsorship not included).</li></ul><h3><strong>Check out what our employees think about working at Seamless:&nbsp;<span style="color: #0065f2;"><a style="color: #0065f2;" href="https://testimonial.to/employeesuccess/all" target="_blank">CLICK HERE</a></span></strong></h3><div class="content-conclusion"><p>Since 2015,&nbsp;<a class="c-link" href="http://seamless.ai/" target="_blank" data-stringify-link="http://Seamless.AI" data-sk="tooltip_parent">Seamless.AI</a>&nbsp;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.</p></div>

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