Infrastructure Services Engineer

About Anyscale

At Anyscale, were on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project thats creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.

With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.

Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.

About The Role

The primary role is to serve as a technical advisor and champion for Anyscale customers with expertise in infrastructure, cloud management, K8, etc. In this function, you will play a crucial role in the customers’ post-sale journey - helping them to onboard, adopt and grow on Anyscale, troubleshooting and resolving open customer tickets and driving consumption.

Anyscale is an ever evolving platform and hence will require close co-ordination with our engineering teams to debug complex issues. This is an exciting role for those who are technically curious and passionate about ML/AI, LLM, vLLM and the role of AI in next generation applications. It’s an opportunity to make a significant impact in a collaborative, fast-paced environment while building a new segment in this space.

In this role, you’ll be able to

• Be a solutions architect, technical advisor, and internal champion for our key customers; helping them to successfully onboard and adopt the Anyscale platform
• Own customer issues end-to-end, from troubleshooting, escalations and eventual resolution
• Participate in our follow-the-sun customer support model to ensure continuity in resolving high priority tickets
• Keep track of open customer bugs and feature requests to influence prioritization and provide timely customer updates upon resolution
• Manage current workload state of key customers and help to identify new workloads to drive account expansion
• Contribute towards improvement of internal tools and documentation of playbooks, guides and best practices etc. based on observed patterns
• Habitually provide feedback and collaborate cross-functionally with product and engineering teams to address customer issues with a focus on improving the product experience
• Build and maintain strong relationships with technical stakeholders within customer accounts
  
  

• 5+ years of experience in a customer-facing technical role with 2+ years in a dynamic, fast-paced, startup-like environment
• Strong organizational skills and ability to manage multiple customer needs simultaneously
• Proficient in deploying and resolving issues within container orchestration platforms (such as Kubernetes) and working with infrastructure as code tools (such as Terraform).
• Hands-on experience with one or more of the major cloud platforms (AWS, GCP or Azure)
• Knowledge in Observability tools (e.g. Grafana)
• Excellent communication and interpersonal skills
• Strong sense of ownership, self-motivation and eagerness to acquire new skills and do new things
• Willingness to uplevel the knowledge and skills of your peers through mentorship, trainings and shadowing
  
  

• Experience with Ray
• Knowledge of MLOps platforms in support of ML/AI, Data Engineering and Data Science teams
• Familiarity with container orchestration platforms (e.g., Kubernetes), infrastructure as code (e.g. Terraform), CI/CD tools (e.g. Github Actions)
• Knowledge of training, fine-tuning and inference/serving of LLMs