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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.
Job Responsibility:
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
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)
Nice to have:
Experience with OpenSearch, Elasticsearch, or other document-based databases
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