DigitalOcean is looking to innovate in the Machine Learning and AI space by developing and maintaining AI solutions leveraging their Gradient Platform. The goal is to bring new AI-based solutions to cloud infrastructure operations, improve infrastructure engineering, workload performance, and system reliability while lowering costs, and enable customers to focus on developing their business by building automations.
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
