Software Engineer at DigitalOcean in Seattle, WA

Summary: DigitalOcean is a cutting-edge technology company focused on simplifying cloud and AI for builders. They are seeking Software Engineers to work on their Agentic Inference Cloud platform, which delivers efficient operations and high performance at scale, focusing on AI product development and infrastructure management. Responsibilities: - Feature Development: Write production grade Go and Python to solve the "unit economics" of AI- optimizing how we monetize a single GPU across multiple abstraction layers - Performance Engineering: Implement and experiment with prefix caching, batch inferencing, and model quantization to reduce TCO for our customers - Model Integration: Assist in the development of model catalogs and automated benchmarking tools to help customers move their models from experimentation to production - Operational Excellence: Help manage a global GPU footprint, ensuring 99.9% uptime for mission-critical production workloads - Continuous Learning: Collaborate with senior engineers to learn complex system architectures and contribute to high-density GPU orchestration Required Qualifications: - 1–4 years of software engineering experience with an interest in ML platforms, AI techniques (e.g., LLMs, multimodal, large vision models), or GenAI-related concepts - Solid understanding of at least one backend language (Python or Go preferred) and experience working with REST APIs - A proactive approach to troubleshooting and a desire to build production-grade systems in a high-growth tech environment - Strong communication skills and a team-first mindset, with the ability to take feedback and apply it to code improvements Preferred Qualifications: - Familiarity with containerization (Docker/Kubernetes) and cloud infrastructure is a plus Required Skills: Python, Go, REST APIs Important Skills: Machine Learning, Containerization Nice-to-Have Skills: Tooling Curiosity, Problem Solving, Collaboration Benefits: Reimbursement for relevant conferences, training, and education, Access to LinkedIn Learning's 10,000+ courses, Employee Assistance Program, Local Employee Meetups, Flexible time off policy, Bonus in addition to base salary, Equity compensation to eligible employees, Equity grants upon hire, Option to participate in our Employee Stock Purchase Program