<div class="content-intro"><p>Dive in and do the best work of your career at DigitalOcean. Journey 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. </p></div><p>We are looking for a <strong>Senior Software Engineer II </strong>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.</p> <p>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 <strong>bridge product and system requirements with concrete architecture</strong>, <strong>lead complex technical projects across DBaaS and adjacent platform boundaries</strong> (e.g., Networking, Droplets, Storage, engine teams), and <strong>mentor engineers</strong> to elevate standards on the team. You should be comfortable independently moving from ambiguous problems to design, implementation, launch, and long-term operation.</p> <h2><strong>What You’ll Do</strong></h2> <ul> <li><strong>Architect and implement DBaaS platform systems:</strong> Design and build scalable control-plane and infrastructure components that improve throughput, multi-region operability, and reliability for managed database workloads.</li> <li><strong>Turn ambiguous requirements into deliverable architecture:</strong> Deconstruct customer and system needs into clear technical designs and workstreams that drive predictable delivery with product and engineering partners.</li> <li><strong>Own performance and resiliency outcomes on your services:</strong> Improve resource utilization, fault tolerance, and availability—using profiling and targeted changes against I/O, CPU, and network bottlenecks under real production load.</li> <li><strong>Strengthen lifecycle capabilities:</strong> Ship improvements to automated failover, continuous backups, point-in-time recovery (PITR), and maintenance workflows so clusters handle higher data volumes and tighter SLAs.</li> <li><strong>Scale for data-heavy and AI-adjacent demand:</strong> Expand and harden control-plane and infrastructure pieces that support compute-heavy and high-concurrency customer workloads.</li> <li><strong>Raise the team engineering bar:</strong> Guide technical decisions for engineers on the squad through design and code reviews; contribute clear design docs for the initiatives you lead.</li> <li><strong>Mentor team members:</strong> Coach engineers through technical guidance, architectural reviews, and code-quality standards to accelerate growth and execution velocity.</li> <li><strong>Operate what you build:</strong> Establish observability, failover, and recovery practices; participate in on-call; turn incident learnings into durable platform improvements.</li> </ul> <h2><strong>What You’ll Bring</strong></h2> <ul> <li><strong>Experience:</strong> 8+ years of professional software engineering experience building and operating large-scale distributed systems or data-plane/control-plane infrastructure (SaaS/PaaS or equivalent).</li> <li><strong>Production depth:</strong> Proven track record diagnosing and solving complex, high-concurrency engineering problems in production cloud environments.</li> <li><strong>Database platform fluency:</strong> Working knowledge of relational database engine internals—specifically PostgreSQL and/or MySQL—including query performance, replication, and scale (preferred).</li> <li><strong>Distributed systems mastery:</strong> Strong understanding of concurrency, failure modes, multi-region concerns, and performance optimization in production Linux/cloud environments.</li> <li><strong>Scale for data & AI workloads:</strong> Experience scaling services for compute, memory, and networking demands of data-intensive or AI inference-adjacent workloads (preferred).</li> <li><strong>Collaboration & mentorship:</strong> Track record of driving complex cross-team technical projects, mentoring engineers, and communicating tradeoffs clearly with partners and leadership.</li> <li><strong>Growth mindset:</strong> Appetite for feedback and a “leave it better than you found it” approach to architecture and maintainability.</li> </ul> <h2><strong>Compensation Range: </strong></h2> <ul> <li>$167,200 - $209,000</li> </ul> <p><span style="font-weight: 400;">*This is a hybrid role</span></p> <p><span style="font-weight: 400; color: rgb(0, 0, 0);">JR: 2026-8312</span></p> <p><span style="color: rgb(0, 0, 0);"><em><span style="font-weight: 400;">#LI-Hybrid</span></em></span></p> <p> </p><div class="content-conclusion"><h2><strong>Why You’ll Like Working for DigitalOcean</strong></h2> <ul> <li><strong>We innovate with pur