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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.

The Engineering Manager will plan and execute complex technical projects, collaborate on AI/ML project development, manage software project schedules, develop processes to improve team performance, and facilitate communication within the team. They will also focus on team growth and recruitment while ensuring successful product rollouts.

The Senior Cloud Support Engineer will provide technical expertise to help customers utilize DigitalOcean's cloud platform effectively. This role involves resolving customer support issues, troubleshooting product-related problems, mentoring junior staff, and collaborating with engineering teams to improve support processes. The engineer will also contribute to documentation and incident management efforts.

As a Senior Software Engineer on the Network Products and Engineering team, you will design and build microservices, solve distributed systems problems, and enhance network visibility, while debugging complex production issues. You will use technologies such as Go, MySQL, and various observability tools.

As an Associate Cloud Support Engineer, you'll respond to technical tickets, support customers with Cloud Service, Networking, and Storage functionalities, and collaborate with product and engineering teams to improve processes and documentation.

As a Staff Engineer in Fleet Performance, you will optimize and enhance core system performance, leverage AI/ML solutions, collaborate with hardware and engineering teams, and ensure accurate performance metrics and analysis tools. Your efforts will focus on improving system capabilities and maintaining transparent insights for user decision-making.