DevOps Engineer

Job Title : Sr. DevOps Engineer

Location :Westlake Village CA(Onsite position)(2 Positions)

Interview :In person interview(Final Round)

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 Agentspace, 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).

· 5+ 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)