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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- 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.
Skillset
- 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).
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.
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
