Sr. AI DevOps Engineer

Job Title: Sr. AI DevOps Engineer

Location: Westlake Village, CA (Onsite) – Client sites in Carrollton, TX / Agoura Hills, CA

Type: Contract (W2 preferred, C2C accepted)

Interview Mode: Video + Final In‑Person face to face at any client location

Profiles Needed: Senior DevOps Engineer with AI/ML platform expertise

Responsibilities:

The
Sr DevOps Engineer - AI platform
will:

• Design, implement, and manage scalable and resilient infrastructure on AWS.
• Architect and maintain Windows/Linux based environments, ensuring seamless integration with cloud platforms.
• Develop and maintain infrastructure-as-code(IaC) using both AWS Cloudformation/CDK and Terraform/OpenTofu.
• Develop and maintain Configuration Management for Windows & Linux servers using Chef.
• Design, build, and optimize CI/CD pipelines using GitLab CI/CD for .NET applications.
• Integrate and support AI services, including orchestration with AWS Bedrock, Google Agent space, and other generative AI frameworks, ensuring they can be securely and efficiently consumed by platform services.
• Enable AI/ML workflows by building and optimizing infrastructure pipelines that support large-scale model training, inference, and deployment across AWS and GCP environments.
• Automate model lifecycle management (training, deployment, monitoring) through CI/CD pipelines, ensuring reproducibility and seamless integration with development workflows.
• Collaborate with AI engineering teams to deliver scalable environments, standardized APIs, and infrastructure that accelerate AI adoption at the platform level.
• Implement observability, security, data privacy and cost-optimization strategies specifically for AI workloads, including monitoring and resource scaling for inference services.
• Implement and enforce security best practices across the infrastructure and deployment processes.
• Collaborate closely with development teams to understand their needs and provide DevOps expertise.
• Troubleshoot and resolve infrastructure and application deployment issues.
• Implement and manage monitoring and logging solutions to ensure system visibility and proactive issue detection.
• Clearly and concisely contribute to the development and documentation of DevOps standards and best practices.
• Stay up to date with the latest industry trends and technologies in cloud computing, DevOps, and security.
• Provide mentorship and guidance to junior team members.

Qualifications:

• Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience).
• 8-10+ years of experience in a DevOps or Site Reliability Engineering (SRE) role.
• 1+ year(s) of experience with AI services & LLMs.
• Extensive hands-on experience with Amazon Web Services (AWS)
• Solid understanding of Windows/Linux Server administration and integration with cloud environments.
• Proven experience with infrastructure-as-code tools, specifically AWS CDK and Terraform.
• Strong experience designing and implementing CI/CD pipelines using GitLab CI/CD.
• Experience deploying and managing .NET applications in cloud environments.
• Deep understanding of security best practices and their implementation in cloud infrastructure and CI/CD pipelines.
• Solid understanding of networking principles (TCP/IP, DNS, load balancing, firewalls) in cloud environments.
• Experience with monitoring and logging tools (e.g., NewRelic, CloudWatch).
• Strong scripting skills (e.g., PowerShell, Python, Ruby, Bash).
• Excellent problem-solving and troubleshooting skills.
• Strong communication and collaboration skills.
• Experience with containerization technologies (e.g., Docker, Kubernetes) is a plus.
• Relevant AWS and/or GCP certifications are a plus.
• Experience with the configuration management tool Chef

Preferred Qualifications:

• Knowledge of and a strong understanding of Powershell and Python Scripting
• Strong background with AWS EC2 features and Services (Autoscaling and WarmPools)
• Understanding of Windows server Build process using tools like Chocolaty for packages and Packer for AMI/Image generation.
• Extensive hands-on experience with Amazon Web Services (AWS)