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As a Database Performance Engineer, you will optimize database performance, scalability, and reliability for high-traffic data systems, collaborating with cross-functional teams to enhance system efficiency and customer experience.
The Opportunity
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.
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.
- 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).
Since 2015, Seamless.AI 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.
Top Skills
Ansible
Aurora
Aws Rds
Bash
Elasticsearch
Gcp Cloud Sql
MongoDB
Opensearch
Postgres
Python
SQL
Terraform
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