Database Performance Engineer - Remote US at Seamless.AI

United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

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)

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

Skills

Key technologies and capabilities for this role

PostgreSQLOpenSearchElasticsearchMongoDBSQLquery optimizationindexingstored proceduresreplicationshardingpartitioningPrometheusGrafanapg_stat_statementsdisaster recoverycapacity planningload testing

Questions & Answers

Common questions about this position

Is this Database Performance Engineer role remote?

Yes, the role is remote for US-based candidates.

What salary or compensation is offered for this position?

This information is not specified in the job description.

What key skills are required for the Database Performance Engineer role?

Candidates need 5+ years of experience with PostgreSQL in production, deep understanding of query planning, indexing strategies, and PostgreSQL internals, strong SQL optimization skills, proficiency in scripting tools like Python, Bash, Ansible, or Terraform, and familiarity with cloud-based database services.

What teams will I work with in this role?

You'll work closely with engineering, product, DevOps, backend and infrastructure engineers, Security, and Compliance teams.

What makes a strong candidate for this Database Performance Engineer position?

A strong candidate has 5+ years of PostgreSQL production experience, expertise in query optimization and internals, hands-on skills with performance tools and cloud services, plus a Bachelor's degree in Computer Science or equivalent, and excellent problem-solving in fast-paced environments.

Seamless.AI

Real-time B2B sales lead generation platform

About Seamless.AI

Seamless.AI provides a real-time search engine that helps businesses generate B2B sales leads. The platform allows users to find and connect with their ideal customers, which aids in building a sales pipeline and shortening the sales cycle. By integrating with popular CRM and engagement tools like Salesforce and Hubspot, Seamless.AI eliminates manual data entry, enhancing productivity for sales professionals. Unlike many competitors, Seamless.AI focuses on delivering high-quality sales intelligence, which has earned it recognition as a top sales platform. The company's goal is to help businesses improve their lead generation and significantly increase their profits through effective use of its platform.

Worthington, MinnesotaHeadquarters

2018Year Founded

$73.2MTotal Funding

SERIES_ACompany Stage

Data & Analytics, Enterprise SoftwareIndustries

201-500Employees

Benefits

Remote work

PTO

Health benefits

401k

Sales commission

Professional development

Risks

Emerging AI-driven sales platforms could threaten Seamless.AI's market share.

Integration of AI in CRMs may reduce the need for third-party solutions like Seamless.AI.

Data privacy regulations like GDPR and CCPA could impact Seamless.AI's data collection.

Differentiation

Seamless.AI offers real-time B2B sales lead generation, enhancing sales pipeline efficiency.

The platform integrates with major CRMs like Salesforce and Hubspot, boosting productivity.

Seamless.AI's Buyer Intent feature leverages data from 5,000+ websites for better lead scoring.

Upsides

Increased demand for AI-driven sales tools optimizes remote sales processes.

Adoption of AI in sales is expected to grow by 30% annually, boosting Seamless.AI's market.

Expansion of SaaS platforms in emerging markets offers new opportunities for Seamless.AI.

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