Sr. DevOps Engineer

🚀 Hiring: Sr. DevOps Engineer – AI Platform (Onsite)
📍 Location: Westlake Village, CA (2 Positions – Locals Only)
📝 Interview: Final Round In-Person
🛂 Visa: USC or GC Holders Only
💼 Experience: 8+ years with recent strong AI exposure
📧 Interested candidates can send profiles to xxxxxxxxxxxxxxx

About the Role
We are seeking Sr. DevOps Engineers with deep expertise in cloud infrastructure and hands-on experience integrating AI/ML workflows. This is an onsite role requiring strong collaboration with engineering teams to build scalable, secure, and resilient AI platforms.

Key Responsibilities
Architect and manage AWS-based infrastructure with Windows/Linux integration.
Implement Infrastructure-as-Code using AWS CDK, CloudFormation, Terraform/OpenTofu.
Build CI/CD pipelines with GitLab CI/CD for .NET applications.
Enable AI/ML workflows across AWS & GCP, including orchestration with AWS Bedrock, Google Agentspace, and generative AI frameworks.
Automate model lifecycle management (training, deployment, monitoring).
Ensure observability, security, and cost optimization for AI workloads.
Collaborate with AI engineering teams to deliver scalable APIs and environments.
Provide mentorship to junior engineers and contribute to DevOps best practices.

Qualifications
Bachelor’s in Computer Science/Engineering or equivalent experience.
8+ years in DevOps/SRE roles, with at least 1+ year in AI/LLM services.
Strong AWS expertise; GCP experience is a plus.
Hands-on with IaC (AWS CDK, Terraform), CI/CD (GitLab), and Chef.
Experience deploying .NET applications in cloud environments.
Proficiency in scripting (PowerShell, Python, Bash, Ruby).
Knowledge of containerization (Docker, Kubernetes).
AWS/GCP certifications preferred.
Preferred Skills
PowerShell & Python scripting mastery.
AWS EC2 features (Autoscaling, Warm Pools).
Windows server build automation (Chocolaty, Packer).