Remote Senior Machine Learning Engineer Jobs in Norfolk, VA

Senior Database Reliability Engineer:

Job Type: Full-time

Location: Remote

Job Summary:

Join our team as a Senior Database Reliability Engineer, where you’ll play a central role in architecting, optimizing, and ensuring the stability of mission-critical PostgreSQL environments. You will leverage your deep technical expertise to drive database reliability, high availability, and performance at scale within a cutting-edge, cloud-native infrastructure. This is an excellent opportunity for talented engineers who are passionate about building robust data systems and thrive in collaborative, fast-paced environments.

Key Responsibilities:

• Design, implement, and manage highly available, resilient PostgreSQL database architectures using AWS RDS and Aurora PostgreSQL.

• Optimize database performance by analyzing query execution plans, tuning indices, and implementing advanced partitioning strategies.

• Ensure disaster recovery readiness through robust backup, replication, and failover processes.

• Diagnose and resolve slow queries, locks, deadlocks, and complex bottlenecks impacting large-scale databases.

• Automate routine maintenance tasks and promote operational excellence across all database environments.

• Collaborate cross-functionally to support new features, data migrations, and ongoing application scaling.

• Maintain comprehensive documentation and demonstrate excellent written and verbal communication skills.

Required Skills and Qualifications:

• 5+ years of experience managing and optimizing PostgreSQL databases in production settings.

• Expert-level knowledge of PostgreSQL internals, query tuning, indexing, partitioning, and replication.

• Proven hands-on experience with AWS RDS and Aurora PostgreSQL, including backup, recovery, and high-availability design.

• Strong analytical abilities in troubleshooting slow queries, execution plans, locks, and deadlocks.

• Demonstrated experience maintaining large-scale, high-traffic databases with millions of rows.

• Deep care for clear, proactive written and verbal communication.

• Ability to work independently and collaboratively within a remote team.

Preferred Qualifications:

• Experience supporting data platforms, analytics workloads, ETL processes, and operational databases.

• Familiarity with Infrastructure as Code (Terraform), CI/CD pipelines, and cloud-native service environments.

• Exposure to supporting modern data architectures and advanced monitoring tools.

Compensation & Benefits Notice

The national pay range for this full-time position is base salary of $120,000-$150,000. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.

micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.

Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

Disclaimer

The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.