DigitalOcean is looking to innovate in the Machine Learning and AI space to bring new AI-based solutions to cloud infrastructure operations. The goal is to improve infrastructure engineering, workload performance, and system reliability while lowering costs, enabling customers to focus on developing their business by building automations through DO's Gradient Platform.
Requirements
- Proficiency in Go to develop gRPC and REST APIs.
- Hands-on knowledge of microservices and distributed systems, including technologies like Docker, Kubernetes, Kafka, MySQL, and Redis.
- Experience utilizing Large Language Models (LLMs) to develop agentic solutions.
Responsibilities
- Develop gRPC APIs written in Go Lang to deliver solutions to target customer’s Jobs To Be Done (JTBD).
- Developing and improving AI Agent performance, correctness, and knowledge bases.
- Maintain and contribute to operational excellence and the stability of the platform.
- Contribute to quality assurance tooling and synthetic testing to proactively identify and address potential customer impacting issues.
- Collaborate with product teams on existing and new product launches to enable seamless integrations of services.
- Contribute to the documentation of processes, and customer instructions.
- Collaborate with the team to define OKRs, driven by our product strategy, and develop roadmap items to successfully deliver on Key Results.
Other
- Strong technical aptitude and problem-solving skills.
- Strong interest in direct collaboration with customers to define their key Jobs To Be Done, and translate into features.
- Excellent communication and collaboration skills in written and spoken forms.
- Author technical documents in architecture and task definition.
- Ability to work independently and manage multiple priorities in a fast-paced environment.
- A proactive and detail-oriented approach.
- This is a remote role
