Principal Software Engineer, Managed Databases

As a Principal Engineer, you will serve as the top-tier technical authority for our DBaaS platform, taking complete technical execution ownership to modernize our managed database services into an AI-native ecosystem. In this role, you will directly drive systems engineering to solve complex distributed computing and scale challenges, drastically enhance DBaaS service performance, elevate platform resiliency, and scale database infrastructure to meet the massive demands of real-time AI inference and data-heavy cloud workloads.

What You’ll Do

• Architect and execute solutions for large-scale DBaaS distributed computing challenges, improving control plane throughput, platform scalability, and multi-region infrastructure.
• Set and execute the multi-year technical roadmap for DBaaS infrastructure, preparing systems for high-concurrency AI workloads, continuous data streaming, and AI inference pipelines.
• Take accountability for low-level DBaaS performance, resource utilization, and fault tolerance to maintain high service availability under heavy operational loads.
• Expand DBaaS control plane and underlying infrastructure to scale managed database services for compute-heavy AI inference and customer demand.
• Enhance existing core lifecycle capabilities—scaling automated failovers, continuous backups, point-in-time recovery (PITR), and maintenance workflows to handle higher data volumes and stricter SLAs.
• Author architectural technical blueprints, define execution standards, lead design reviews, and mentor staff and senior engineers.

What You’ll Bring

• 15+ years of experience architecting, building, and operating large-scale platform infrastructure and distributed computing systems.
• Proven track record of diagnosing and solving complex, high-concurrency engineering problems in production cloud environments.
• Working knowledge of relational database engine internals—specifically PostgreSQL and/or MySQL—to optimize query performance, replication, and scale (preferred).
• Practical experience scaling distributed services to meet the compute, memory, and networking demands of AI inference and data-intensive workloads.
• Expertise in system profiling, identifying IO/CPU/network bottlenecks, and implementing changes that improve database service performance.
• Deep experience driving system resiliency, scaling platform availability, and optimizing recovery mechanisms for distributed environments.
• Demonstrated ability to take technical ownership, convert business requirements into clear architecture blueprints, and mentor engineering talent.

Why You’ll Love Working Here

• Own and execute the technical strategy for database infrastructure used by developers and businesses worldwide.
• Build managed database services that bring AI inference and data processing capabilities to customers globally.
• Access dedicated learning stipends, conference budgets, and structured pathways for principal-level technical progression.
• Receive competitive compensation—including performance bonuses, equity options, and ESPP participation—alongside local healthcare coverage and flexible time off.

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