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The Software Engineers will build features and improvements, collaborate on design and UX, and maintain the GraphQL/TRPC API. They will also provide technical leadership, manage UI components, and contribute to the AI/ML tools and services on the Paperspace platform.

The Staff SOC Engineer will lead Digital Forensics and Incident Response efforts, enhancing DigitalOcean's security posture. Responsibilities include managing live incidents, analyzing digital artifacts, identifying malicious activities, and collaborating across teams to improve security procedures and tools.

As a Software Engineer at DigitalOcean, you will work on the Paperspace team to build and maintain UI components and tools for AI/ML workflows. Responsibilities include developing APIs, collaborating on design, and leading a technical area. You will ship product features autonomously while ensuring effective architecture and user experience.

The Engineering Manager will lead the GenAI Platform team, overseeing project planning and execution while fostering an engineering culture. Responsibilities include collaborating with technical leads on AI/ML projects, managing project schedules, developing team processes, and coaching team members to enhance performance. The role supports the growth of a world-class engineering team in a fast-paced environment.

The Engineering Manager will lead the GenAI Platform team at DigitalOcean, focusing on managing and developing a world-class engineering team, planning and executing complex AI/ML projects, collaborating on architecture and design, and enhancing team performance through effective mentorship and communication.

As a Staff Engineer on the fleet performance team, you will enhance and optimize system performance using AI/ML solutions, develop performance metrics and tools, analyze Linux kernel performance, and improve infrastructure reliability while collaborating with cross-functional teams.

You will lead the optimization and enhancement of system performance, focusing on performance metrics, analysis tools, and optimizing shared infrastructure while collaborating with hardware engineering teams. The role involves performance analysis of the Linux kernel and addressing virtual machine performance issues, ensuring system reliability and transparent insights into capabilities.