DigitalOcean

Full-stack Engineer

• Develop the DigitalOcean Managed Kubernetes product
• Contribute to our growing GPU offering to support scalable inference workloads
• Develop back-end gRPC services written in Go deployed on Kubernetes
• Design back-end services and author engineering design documents
• Raise the bar for Operational Excellence
• Independently lead projects
• Navigate the complexity of distributed systems and operate them in production
• Break design documents into actionable epics and stories with estimates
• Run experiments to optimize user experience and increase adoption of DOKS
• Contribute to and maintain open-source projects
• Regularly interact with important customers to understand their needs in the product

Senior Engineer II – Managed Kubernetes

• Spearhead the development of distributed scheduling and optimization services
• Develop robust scripts, tools, and automation solutions to enhance system performance
• Collaborate closely with a cross-functional, motivated team of engineers
• Solve complex problems in a technically rewarding environment

Senior Engineer II, Fleet Efficiency

Account Executive

• Immerse yourself in the Bay Area AI ecosystem to identify, engage, and win the most promising startups
• Own the relationship with high potential AI accounts
• Advocate for your customers internally
• Drive account growth by maintaining meaningful contact and identifying new opportunities
• Manage and negotiate contract renewals
• Partner with marketing, product, and customer success teams to deliver a best-in-class customer experience
• Translate customer feedback from the Bay Area AI community into clear insights for our Product and Engineering teams

Account Director – AI

Operations

• Ensuring maximum uptime for our global infrastructure
• Automating processes and building tools to improve operational efficiency
• Coordinating operational work across teams to improve the platform with minimal impact

Cloud Operations Administrator – II

• Immerse yourself in the tech ecosystem to identify, engage, and win the most promising startups.
• Own the relationship with high potential accounts.
• Advocate for your customers internally, working with support and engineering to remove technical roadblocks.
• Drive account growth by maintaining meaningful contact and identifying new opportunities.
• Manage and negotiate contract renewals, communicating the value of new features to drive expansion.
• Partner with marketing, product, and customer success teams to deliver a best-in-class customer experience.
• Translate customer feedback into clear insights for our Product and Engineering teams.

Director, Account Executive

Security Engineer

• Own the implementation of small-to-medium sized security projects and solutions
• Develop, test, and deploy code/scripts for security tooling
• Actively manage and operate core security infrastructure
• Participate in core team processes, including on-call rotations
• Assess the security of systems by maintaining and monitoring security controls
• Partner with technical teams across Engineering and Infrastructure to advocate for security best practices

Infrastructure Security Engineer

• Spearhead the design, development, and operation of scalable database platforms
• Establish and enforce technical standards and coding practices
• Work with product managers and stakeholders to translate objectives
• Lead Operations Excellence for database services
• Research and integrate advanced capabilities to enhance developer workflows

Principal Engineer – Managed Database Services

• Drive the design and operation of Gradient AI platform
• Architect and build the architecture for agent development experience
• Establish and enforce technical standards across engineering teams
• Guide customer-facing teams to shape AI modernization initiatives
• Lead operations excellence for Agent development platform
• Drive AI-driven automation to optimize operations

Principal Software Engineer – Gradient AI

• Integrating and operating open source distributed data systems such as OpenSearch, VictoriaMetrics, Kafka, and Clickhouse
• Implementing features to improve the operability of services and design and implement the next generations of metrics and logging
• Guiding other engineers to utilize systems effectively to ensure service performance

Senior Engineer I, Observability

• Architect and guide the implementation of high-scale, reliable, and secure systems
• Drive technical direction and make foundational decisions on system design, scalability, observability, and developer experience
• Partner with product managers and engineering leadership to define short- and long-term roadmap priorities
• Identify platform bottlenecks, inefficiencies, and future risks—and design solutions that proactively address them
• Collaborate across teams to ensure seamless integration between platform services, infrastructure, and developer tools
• Mentor engineers at all levels and contribute to a culture of technical excellence, inclusivity, and impact
• Stay ahead of emerging technologies, patterns, and best practices in the PaaS, serverless, and cloud-native ecosystem.