DevOps Engineer
Hybrid
Full Time
#Technology
#CI CD
#AI ML
#Docker
#Kubernetes
#AWS
#Azure
#Observability
#Security
#Cloud Native
About You
Are you a seasoned DevOps Engineer with a passion for AI and machine learning? Do you thrive on empowering engineering teams with innovative AI/ML capabilities?
If you answered YES, then this is the perfect role for you!
Your Responsibilities
As our new DevOps (AI Exposure) you will work closely with DevOps and Software engineers to make sure all our systems are running smoothly and quickly respond to issues as they arise. Your strong engineering mindset and problem-solving skills will be essential in maintaining high system performance and stability. This role involves designing and implementing cloud-native and cloud-agnostic solutions that support both new initiatives and ongoing projects across the organization. This is a hybrid role, two days a week in the office is required. Moreover, you will:
- Build and maintain CI/CD pipelines optimized for AI/ML workflows.
- Manage containerization and orchestration using Docker and Kubernetes.
- Implement observability and monitoring for distributed AI agents.
- Ensure security, scalability, and cost-efficiency across AWS and Azure environments.
- Evaluate LLM-based tools to enhance engineering productivity.
- Define and promote engineering-wide AI standards and best practices.
- Collaborate across teams to drive AI adoption throughout the organization.
- Design and build solutions that integrate seamlessly with existing workflows and tooling.
