Database Performance Engineer - Remote US job opportunity at Seamless AI.

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Seamless AI Database Performance Engineer - Remote US
Experience: 6-years
Pattern: remote
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Engineering

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degreeBachelor's (B.Eng.)
United States Of America

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).

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Database Performance Engineer - Remote US Applicants are expected to have a solid experience in handling Engineering related tasks