DigitalOcean is looking to drive the design and operation of its Gradient AI platform, focusing on delivering a simple and innovative agent development experience with best-of-breed scale, performance, and predictability. The company aims to drive architectural vision, technical excellence, and innovation across both backend systems and customer-facing interactions.
Requirements
- Hands-on experience designing and operating production-grade AI/ML platforms using the latest GenAI and Agent-development technologies.
- 10+ years in designing and building applications on the cloud with 5+ years experience in AI/ML platforms
- Expertise in driving operational excellence via automation and best practices.
- Drive AI-driven automation (e.g., IaC, CI/CD pipelines, deployments, monitoring) to optimize operations
- Drive development of internal tooling leveraging agents across the company, contributing towards increased efficiency and quality across all aspects of engineering.
- Serve as subject matter expert on new agent development paradigms and lead implementation of mechanisms to productize them.
Responsibilities
- Design and evolve the architecture for our agent development experience including code integration, evaluations, observability, tools, and cross-agent interactions.
- Drive initiatives to deliver an architecture optimized for scalability, reliability, low-latency, and cost efficiency.
- Manage and evolve our benchmarking system to continuously raise the bar on our experience.
- Roll out new services by taking on a hands-on lead role as required to ensure timely delivery.
- Establish and enforce technical standards, coding practices, tooling, and infrastructure guidelines across the AI/ML engineering teams.
- Establish best practices for design, testing, deployments, instrumentation, and performance tuning.
- Oversee availability, performance tuning, failover strategies, capacity planning, and disaster recovery.
Other
- Prior experience as a technical visionary in large-scale, mission-critical projects; ability to align technology strategy with business impact.
- Strong written and verbal communication skills with a track record of mentoring senior and junior engineers; translating complex concepts across engineering and business teams.
- Work with product managers, stakeholders, and business leaders to translate strategic objectives into scalable technical roadmaps.
- Guide customer-facing teams (e.g., consultants, support, sales engineers) to shape AI modernization initiatives via agents.
- Mentor other senior engineers, shaping the team’s culture of architectural rigor and operational excellence.
