Machine Learning Operations (MLOps) Engineer

About the Role

We are seeking a talented and motivated Machine Learning Operations (MLOps) Engineer to join the engineering team at Gallatin. In this role, you will help design, build, and maintain robust infrastructure solutions, ensuring high availability, performance, and security across cloud deployments.

This position is located in El Segundo, Los Angeles County and is aligned with the Cloud domain of our technology stack.

Key Responsibilities

• Design and deploy scalable, secure, and resilient cloud infrastructure.
• Build and optimize continuous integration and continuous deployment (CI/CD) pipelines.
• Collaborate with software developers, product managers, and security teams to align deployment processes.
• Monitor system performance, troubleshoot production incidents, and implement automated healing mechanisms.
• Promote best practices for infrastructure as code, configuration management, and system monitoring.

Required Skills & Experience

• Strong familiarity with cloud service providers (AWS, Azure, or GCP).
• Experience with container orchestration tools like Kubernetes or Docker.
• Proficiency in scripting and automation (Python, Bash, or Go).
• Knowledge of Infrastructure as Code tools (Terraform, Ansible, or CloudFormation).
• Understanding of modern CI/CD practices and version control tools (Git, GitLab, GitHub).
• Solid background in networking, operating systems, and security baselines.

Target Technologies