Sr DevOps Engineer
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- 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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