An AI startup based in San Francisco focused on AI Assistants is seeking a Customer Engineer with experience in DevOps or a background as a Software Engineer working with DevOps practices. The company with a team of 6 people has secured $10 million in funding and is poised for growth. This is an excellent opportunity for a skilled engineer to work closely with customers while contributing to the technical foundation of a cuttingedge AI company in a fastpaced and innovative environment.
MustHave Technologies
GCP
AWS
Docker
Kubernetes
Azure
Requirements
- 2 years of experience as a Customer Engineer / Solutions Engineer / Deployed Engineer at a enterprisefacing software company OR have 2 years of experience in DevOps / Software Engineering and have an interest in shifting to a more customerfacing role.
- Experience with Docker/Kubernetes cloud technologies (AWS GCP Azure) and onprem/cloud deployments
- Previously owned the deployment pipeline for a cloudhosted managed proudct or helped a customer to deploy product
- Excellent communication this is a customer facing role so there is a need to be comfortable meeting and assistant customers on a daily basis
- Flexible approach to working hours as a start up this could reach 60 hours per week!
Experience working with a startup in this capacity before would be great!
Hands on coding ability would be preferred also (ideally with Python Typescript React)
Responsibilities
- Act as the primary technical advisor to customer base providing expert support and building strong relationships
- Guide customers through their selfhosted deployments across different clouds (AWS GCP Azure etc.) and deployment methods (Docker Compose Kubernetes AWS ECS Helm etc.)
- Debug and patch tricky deploymentspecific issues with customers
- Contribute features to systematically eliminate common issue points during deployment
- Create a seamless onboarding experience for customers
- Work with customers to find the best use cases for product maximizing our impact and value
- Be the voice of the customer bridge gap between Product and Customers
H
aws,react,kubernetes,devops,assistants,gcp,typescript,docker,python,azure,cloud,customer,software