Senior Software Engineer II, Managed Databases

Dive in and do the best work of your career rney alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.

We are looking for a Senior Software Engineer II to join our Managed Databases (DBaaS) engineering organization. Managed Databases delivers fully managed Postgres, MySQL, and related database services so customers can run production data workloads—and increasingly AI inference and data-intensive applications—without operating clusters themselves.

In this high-impact IC4 role, you will apply advanced subject-matter expertise across distributed control planes, database platform infrastructure, and production reliability. You will bridge product and system requirements with concrete architecture, lead complex technical projects across DBaaS and adjacent platform boundaries (e.g., Networking, Droplets, Storage, engine teams), and mentor engineers to elevate standards on the team. You should be comfortable independently moving from ambiguous problems to design, implementation, launch, and long‑term operation.

• Architect and implement DBaaS platform systems:
  Design and build scalable control‑plane and infrastructure components that improve throughput, multi‑region operability, and reliability for managed database workloads.
• Turn ambiguous requirements into deliverable architecture:
  Deconstruct customer and system needs into clear technical designs and work streams that drive predictable delivery with product and engineering partners.
• Own performance and resiliency outcomes on your services:
  Improve resource utilization, fault tolerance, and availability—using profiling and targeted changes against I/O, CPU, and network bottlenecks under real production load.
• Strengthen lifecycle capabilities:
  Ship improvements to automated failover, continuous backups, point‑in‑time recovery (PITR), and maintenance workflows so clusters handle higher data volumes and tighter SLAs.
• Scale for data‑heavy and AI‑adjacent demand:
  Expand and harden control‑plane and infrastructure pieces that support compute‑heavy and high‑concurrency customer workloads.
• Raise the team engineering bar:
  Guide technical decisions for engineers on the squad through design and code reviews; contribute clear design docs for the initiatives you lead.
• Mentor team members:
  Coach engineers through technical guidance, architectural reviews, and code‑quality standards to accelerate growth and execution velocity.
• Operate what you build:
  Establish observability, failover, and recovery practices; participate in on‑call; turn incident learnings into durable platform improvements.

• Experience:
  
  8+ years of professional software engineering experience building and operating large‑scale distributed systems or data‑plane/control‑plane infrastructure (SaaS/PaaS or equivalent).
• Production depth:
  Proven track record diagnosing and solving complex, high‑concurrency engineering problems in production cloud environments.
• Database platform fluency:
  Working knowledge of relational database engine internals—specifically PostgreSQL and/or MySQL—including query performance, replication, and scale (preferred).
• Distributed systems mastery:
  Strong understanding of concurrency, failure modes, multi‑region concerns, and performance optimization in production Linux/cloud environments.
• Scale for data & AI workloads:
  Experience scaling services for compute, memory, and networking demands of…