Database Performance Engineer

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November 14

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Seamless.AI

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B2B • Artificial Intelligence • SaaS

Seamless. AI is a sales intelligence software that provides B2B companies with accurate and up-to-date sales leads. It is a real-time search engine that uses artificial intelligence to find, verify, and validate business contact information. Companies and sales professionals can use Seamless. AI to build lead lists, enrich existing data, and automate the prospecting process. It offers a range of tools and integrations to help sales teams connect with decision-makers and grow revenue efficiently. Trusted by over a million users, Seamless. AI is recognized for its innovative approach to lead generation and data accuracy.

201 - 500 employees

Founded 2016

🤝 B2B

🤖 Artificial Intelligence

☁️ SaaS

📋 Description

• 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.

🏖️ Benefits

• U.S. work authorization required (Visa Sponsorship not included)