[Hiring] Senior Full-Stack Engineer II - AI/ML @DigitalOcean

Role Description

We’re hiring a Senior Full-Stack Engineer to build end‐to‐end features that make accelerated compute simple and accessible for everyone. The AI Application Platform team builds AI and agentic applications across modalities—LLMs, images, audio, and video—on top of DigitalOcean’s high‐performance inference engine. Our mission is to keep the latest state‐of‐the‐art models available at peak performance. We’re moving fast to build the next generation of AI applications and platform workflows at DigitalOcean.

• Own a technical area by providing technical leadership for a team
• Drive large cross-functional projects independently to completion
• Work primarily in Python and Go to build and scale AI application services such as ADK, agentic tools
• Maintain and develop APIs, MCPs, and SDKs
• Collaborate on design and UX
• Build and scale products to achieve operational excellence
• Independently ship product features from planning to launch to maintenance with high autonomy
• Partner with SRE/DevOps on reliability, observability, incident response, and deployment workflows
• Collaborate with other engineers to find elegant architectures and solutions

Qualifications

• Experience with ML platforms, AI techniques (e.g., LLMs, multimodal, large vision models) or with genAI-related concepts (e.g., evaluations, tracing, insights, language modeling, computer vision)
• Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
• 8+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling production-grade systems
• Demonstrated design and UX sensibilities, especially for technical teams
• Knowledge of API standards including REST, Python, or Go
• Design of cloud ready systems and architectures

Requirements

• Compensation Range: $184,000 - $231,000
• This is a remote role
• JR: 2026-7617
• #LI-Remote

Benefits

• Competitive array of benefits to support well-being
• Employee Assistance Program
• Local Employee Meetups
• Flexible time off policy
• Reimbursement for relevant conferences, training, and education
• Access to LinkedIn Learning's 10,000+ courses
• Bonus eligibility based on company and individual performance
• Equity compensation, including equity grants upon hire and participation in the Employee Stock Purchase Program