Sr DevOps Engineer
GENAI LLC
Los Angeles, CA, United States
4 days ago
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Role details
Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
Tech stack
Microsoft Azure
Cloud Computing
Computer Programming
Databases
Continuous Integration
DevOps
Github
Python (Programming Language)
Reliability Engineering
Cloud Services
Ansible
Shell Script
+12 more
Software Engineering
Scripting
Google Cloud
Infrastructure as Code (IaC)
Containerization
Kubernetes
Information Technology
Machine Learning Operations
Terraform
Software Version Control
Docker
Golang
Requirements
- Minimum of 8 to 10 years post-secondary education or relevant work experience
- Bachelor’s degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline desired
- Minimum of five years DevOps experience with at least a year of ML Ops and Software Engineering Development background
- Cloud Platforms: Proficiency in cloud services - Nice to have - Google Cloud Platform (Google Cloud Platform), or Microsoft Azure.
- Containerization & Orchestration: Expertise with Docker and Kubernetes for managing application environments.
- Infrastructure as Code (IaC): Experience with tools like Terraform or Ansible for automating infrastructure provisioning.
- Programming: Strong scripting skills, typically in Python or Go, for automation and building operational tools.
- MLOps Tools: Familiarity with MLOps platforms and tools (e.g., MLflow, Kubeflow, Data Version Control (DVC)) is often a plus.
- SRE Mindset: A focus on site reliability engineering principles to ensure robust production systems.
- Tech Skills: Terraform, GitHub actions, Quadrant, Vector Database, CI/CD, Python, Shell Scripting.
- Strong Communication Skills, Good Team Player, ability to wear multiple hats, fast learner, problem solving and go getter attitude.
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