DevOps Engineer – ML & Data Infrastructure
Job Description:
- Manage, configure, and automate cloud infrastructure using tools such as Terraform and Ansible
- Implement CI/CD pipelines for ML models and data workflows
- Build and maintain scalable data and feature pipelines
- Set up infrastructure for model monitoring and observability
- Optimize inference performance
- Ensure overall system reliability, scalability, and performance
- Define and implement infrastructure best practices
- Troubleshoot complex issues affecting ML/Data pipelines
Requirements:
- 3+ years of experience as a DevOps Engineer
- Strong hands-on experience with Google Cloud Platform (GCP)
- Proficiency with Terraform (and bonus points for Ansible)
- Solid grasp of containerization (Docker, Kubernetes)
- Experience building and maintaining CI/CD pipelines
- Strong understanding of monitoring and logging best practices
- Scripting experience with Python, Groovy, or Shell
- Familiarity with AI orchestration frameworks (LangGraph or LangChain) is a plus.
Benefits:
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development