
1001 - 5000 employees
Founded 2011
☁️ SaaS
SaaS • Cloud Computing
DigitalOcean is a cloud infrastructure provider that offers a suite of products and services for developers to build, deploy, and scale applications. Their platform provides comprehensive tutorials, reference material, and support documentation to assist users in managing resources effectively using their API and CLI tools. With features like Droplets (virtual machines), managed databases, Kubernetes, and a marketplace for third-party applications, DigitalOcean focuses on simplicity and performance. They cater to both individual developers and larger organizations looking for cloud solutions that are easy to implement and manage.
🔥 2 minutes ago
🍂 Massachusetts – Remote
💵 $167.2k - $209k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 0%
Where this job comes from
Posted on DigitalOcean's careers page, not through a job board
First seen by Remote Rocketship 2 minutes ago

1001 - 5000 employees
Founded 2011
☁️ SaaS
SaaS • Cloud Computing
DigitalOcean is a cloud infrastructure provider that offers a suite of products and services for developers to build, deploy, and scale applications. Their platform provides comprehensive tutorials, reference material, and support documentation to assist users in managing resources effectively using their API and CLI tools. With features like Droplets (virtual machines), managed databases, Kubernetes, and a marketplace for third-party applications, DigitalOcean focuses on simplicity and performance. They cater to both individual developers and larger organizations looking for cloud solutions that are easy to implement and manage.
• Architect and implement scalable DBaaS control-plane and infrastructure systems • Translate customer and system requirements into technical designs and deliverable workstreams • Improve resource utilization, fault tolerance, availability, and production performance • Develop automated failover, continuous backups, point-in-time recovery, and maintenance workflows • Scale infrastructure for data-intensive and AI inference-adjacent workloads • Guide technical decisions through design and code reviews • Mentor engineers through technical guidance, architectural reviews, and code-quality standards • Establish observability, failover, and recovery practices; participate in on-call • Convert incident learnings into durable platform improvements
• 8+ years of professional software engineering experience building and operating large-scale distributed systems or data-plane/control-plane infrastructure • Proven experience diagnosing and solving complex, high-concurrency engineering problems in production cloud environments • Working knowledge of relational database engine internals, specifically PostgreSQL and/or MySQL, including query performance, replication, and scale • Strong understanding of concurrency, failure modes, multi-region concerns, and performance optimization in production Linux/cloud environments • Experience scaling services for compute, memory, and networking demands of data-intensive or AI inference-adjacent workloads • Track record of driving complex cross-team technical projects, mentoring engineers, and communicating tradeoffs clearly • Appetite for feedback and a “leave it better than you found it” approach to architecture and maintainability
• Flexible time off • Local team meetups • Mental health and well-being support • Reimbursement for relevant conferences, training, and education, subject to company policy • Annual bonus plan eligibility • Potential new hire equity grant, subject to plan terms and local eligibility • Employee Stock Purchase Program participation in participating countries, subject to eligibility
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