Scaling Mission-Critical PostgreSQL Environments: Inside the Senior Database Reliability Engineer Role at micro1 ($120,000–$150,000)

In modern cloud-native infrastructures, data architecture resilience and database reliability form the backbone of high-performing technology platforms. As artificial intelligence systems and data-intensive applications scale globally, organizations require world-class engineering talent to architect, optimize, and protect mission-critical database systems under heavy loads.

micro1—the leading AI data lab powering frontier model training and agent evaluation platforms—is currently expanding its remote engineering organization with a high-impact opening for a Senior Database Reliability Engineer (PostgreSQL). Offering a competitive base salary range of $120,000 to $150,000 plus equity compensation, performance bonuses, and comprehensive health benefits, this fully remote, full-time career opportunity is engineered for seasoned data infrastructure professionals looking to drive high availability and performance at scale.

Whether you are an expert in PostgreSQL internals looking to build robust cloud-native data systems, or an experienced infrastructure specialist seeking a progressive remote environment, this guide explores the complete job description, core responsibilities, technical prerequisites, and a step-by-step application walkthrough.

Core Responsibilities and Architecture Scope

As a Senior Database Reliability Engineer at micro1, you will own the stability, scalability, and performance of large-scale database clusters. Your work directly enables the reliable operation of data-intensive workloads supporting global expert networks and AI data pipelines.

Key Responsibilities:

• Architecture & Design: Design, implement, and manage highly available, resilient PostgreSQL database architectures leveraging AWS RDS and Aurora PostgreSQL.
• Performance Optimization: Optimize database performance by deeply analyzing query execution plans, tuning complex indices, and implementing advanced table partitioning strategies.
• Disaster Recovery & Replication: Ensure absolute disaster recovery readiness through robust backup routines, automated replication, and seamless failover processes.
• Bottleneck Resolution: Diagnose and resolve slow queries, locks, deadlocks, and performance bottlenecks impacting large-scale databases with millions of rows.
• Automation & Operations: Automate routine database maintenance tasks and promote operational excellence across all development, staging, and production environments.
• Cross-Functional Collaboration: Partner closely with software engineering and product teams to support new feature rollouts, complex data migrations, and continuous application scaling.

Required Skills, Qualifications, and Technical Background

To succeed in this rigorous engineering role, candidates must demonstrate deep technical mastery and proven production experience:

• Experience Threshold: 5+ years of dedicated professional experience managing and optimizing PostgreSQL databases in high-traffic production environments.
• Database Internals: Expert-level knowledge of PostgreSQL internals, query tuning, indexing methodologies, partitioning structures, and master-slave replication.
• Cloud Ecosystem: Proven hands-on production experience with AWS RDS and Aurora PostgreSQL, including backup policies, point-in-time recovery, and multi-AZ high-availability design.
• Troubleshooting Proficiency: Strong analytical abilities in diagnosing slow execution plans, lock contention, and complex concurrency deadlocks.
• Scale Competency: Demonstrated experience maintaining large-scale, high-traffic databases containing tens or hundreds of millions of rows.
• Communication & Independence: Exceptional written and verbal communication skills, with the ability to operate autonomously while collaborating effectively within a distributed remote team.

Preferred Qualifications:

Candidates who bring additional exposure to modern data platforms, analytics workloads, ETL processes, Infrastructure as Code (such as Terraform), CI/CD pipelines, and advanced cloud-native monitoring tooling will find themselves exceptionally well-aligned with micro1's tech stack.

Comprehensive Compensation and Perks

micro1 is committed to attracting top-tier engineering talent by pairing challenging technical work with an outstanding compensation package:

• Competitive Base Salary: $120,000 – $150,000 annual base salary commensurate with experience.
• Equity & Performance Bonuses: Long-term upside via company equity and performance-driven incentive structures.
• Comprehensive Health Coverage: Up to 100% reimbursement for health insurance premiums.
• Retirement & Time Off: 401(k) plan with company matching and flexible paid time off policies.

Step-by-Step Guide to Completing Your Application Successfully

micro1 streamlines its recruitment workflow using intelligent AI-assisted screening tools designed to complement human evaluation. Follow these steps to ensure your application makes an immediate impression:

1. Tailor Your Resume: Highlight your hands-on PostgreSQL, AWS RDS, and Aurora production achievements explicitly. Emphasize metrics related to query optimization, database uptime, and data scale.
2. Submit Detailed Responses: Complete every section of micro1’s application portal thoroughly, providing clear examples of complex architectural bottlenecks you have successfully diagnosed and resolved.
3. Engage with the AI Screening Promptly: Keep an eye on your inbox for initial assessment steps and complete them meticulously to fast-track your candidacy.

Step into the future of cloud infrastructure and AI data engineering. Secure your spot on micro1’s engineering team today.