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Database Performance Engineer

https://seamless.ai/ Logo

Seamless.AI

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Location:
United States

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Contract Type:
Employment contract

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Salary:

Not provided

Job Description:

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

Additional Information:

Job Posted:
November 15, 2025

Employment Type:
Fulltime
Work Type:
Remote work
Job Link Share:

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