Sr DevOps Engineer

Pennymac (NYSE: PFSI) is a specialty financial services firm with a comprehensive mortgage platform and integrated business focused on the production and servicing of U.S. mortgage loans and the management of investments related to the U.S. mortgage market.

At Pennymac, our people are the foundation of our success and at the heart of our dynamic work culture. Together, we work towards a unified goal of helping millions of Americans achieve aspirations of home ownership through the complete mortgage journey.

The Sr Dev Ops 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 Cloud formation/CDK and Terraform/Open Tofu.
• Develop and maintain Configuration Management for Windows & Linux servers using Chef.
• Design, build, and optimize CI/CD pipelines using Git Lab 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 Dev Ops 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 Dev Ops standards and best practices.
• Stay up-to-date with the latest industry trends and technologies in cloud computing, Dev Ops, and security.
• Provide mentorship and guidance to junior team members.

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
• 5+ years of experience in a Dev Ops 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 Git Lab 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., New Relic, Cloud Watch).
• Strong scripting skills (e.g., Power Shell, 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 Warm Pools)
• Understanding of Windows server Build process using tools like Chocolaty for packages and Packer for AMI/Image…