Database Performance Engineer - Remote US

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

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.

• →Own the health, performance, and reliability of our PostgreSQL and OpenSearch environments in production.
• →Design, manage, and validate backup and recovery processes, including routine backup monitoring, restore testing, and disaster recovery readiness.
• →Analyze and optimize slow queries, indexing strategies, and execution plans across both PostgreSQL and OpenSearch.
• →Improve database performance for large-scale datasets (1TB+), with a focus on latency, throughput, storage efficiency, and stability.
• →Lead data modeling and schema design decisions to support scalable application growth and reporting needs.
• →Design and optimize indexing, partitioning, and data access patterns for high-volume workloads.
• →Partner with engineering to improve how applications interact with PostgreSQL and OpenSearch, including query design and performance best practices.
• →Monitor database health and proactively address issues related to replication, storage growth, resource utilization, and query performance.
• →Troubleshoot production incidents involving database performance, search performance, and data integrity, and drive root cause resolution.
• →Recommend and implement improvements to architecture, tooling, and processes that increase scalability and reduce operational risk.

• Strong hands-on experience managing PostgreSQL in production environments.
• Experience with OpenSearch or Elasticsearch in production, including query tuning and index optimization.
• Deep experience with query optimization, execution plan analysis, and performance tuning for large datasets.
• Strong understanding of data modeling, schema design, and indexing strategies.
• Experience supporting databases with high data volume and growth, ideally in environments with datasets of 1TB+.
• Comfortable working closely with software engineers to improve application-level data access and query efficiency.
  
  

• 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).