Sr. DevOps Engineer
Posted 6
views
Summary
Build and automate ML pipelines and cloud infrastructure on Azure/AWS, orchestrating Kubernetes/Docker systems and CI/CD to serve ML models at scale.
We are looking for world-class devops engineers and problem solvers.
You will be interacting with machine learning scientists and engineers to develop and automate machine learning pipelines that work. In particular, you will participate in the development, delivery and automation of scalable systems for data ingestion, processing, validation, model training, large-scale computation, monitoring, serving results and handling upgrades.
Job Requirements
Must-Have
- 5+ years of experience building sophisticated and automated production infrastructure
- Solid Azure or AWS experience
- Extensive experience with Kubernetes, docker and container orchestration
- Experience with Saltstack or other configuration management
- Strong scripting skills, i.e., Bash, Python, Groovy etc.
- Experience with managing CI/CD tools and pipelines
- Strong practical Linux systems administration skills in a Cloud environment, Redhat and Ubuntu
- Experience with Git, Jenkins and Elasticsearch
- Strong verbal and written communication skills, with the ability to work effectively across teams
- BA/BS degree or equivalent experience; Computer Science background preferred
Nice-to-Have
- Knowledge of IP networking, VPN’s, DNS, load balancing and firewalls
- Familiarity with monitoring tools
- Experience with automated testing tools
- Experience troubleshooting and tuning systems performance
- Knowledge of Java
Benefits
- Entrepreneurial and learning culture
- Excellent health coverage and pension plan
- Four weeks paid vacation
- Catered lunches twice a week over machine learning talks