DevOps Engineer (MLOps & Infrastructure) - ML Optimization Engine for the Future - Up to 1% equity!
This Jobot Job is hosted by: Eric Emenhiser Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $140,000 - $180,000 per year
A bit about us:
We spun out of widely acclaimed open source ML projects innovated by Top Engineers from the likes of AWS, Uber, IBM, Cloudflare, Google, etc. Now that we are out of Stealth Mode, we are taking our ML optimization engine to market! Remember what it was like managing infrastructure before Terraform and IAC frameworks? We liken our solutions to the same for training ML models with a low code interface for AI teams around the world, with out-of-the box infrastructure ready for any AI project big or small.
Most have been finding us by the way of getting involved in our open source contributions, but here is a chance to find out what we are really building after launch!
Are you a DevOps Engineer with expertise in Terraform, K8s, and AWS? Please keep reading!
Why join us?
Our work is "mysterious and important" (an attempt at a joke for those who have watched the show 'Severance' on Apple+)!
100% remote org, with folks collaborating in different time zones, most residing on Pacific Time Zone.
There are no shortages of hard problems to solve collaborating with a team who is here to help!
Mission driven org that is not a fan of burning people out or forcing tight deadlines. Flexible time off!
Job Details
Is your background a fit? Apply if you meet this criteria:
Bachelor's in Computer Science and the following:
3 - 7 years of experience building, operating and maintaining production cloud native infrastructure in AWS (or similar)
2+ years of production setting experience with Terraform & ability to use IAC frameworks with ease.
2+ years of production setting experience in containerization technologies: Docker & Kubernetes
Experience owning the process of setting up & maintaining production setting Kubernetes clusters
You have strong design and coding skills in one or more of the following: Python, Ruby, Spark, Go, Typescript, Java
Bonus skills:
Previous completed MLOps/ML Infrastructure projects, partnering with ML/AI teams
ML: Horovod, Pytorch, Tensorflow, Keras
Experience with Kafka, Prometheus, Jaguar
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
