Senior AI Platform Engineer

PENNYMAC

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 homeownership through the complete mortgage journey.

A Typical Day

The Senior AI Platform Engineer 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 Platform 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 Platform Engineering standards and best practices.
• Stay up-to-date with the latest industry trends and technologies in cloud computing, Platform Engineering, and security.
• Provide mentorship and guidance to junior team members.

What You’ll Bring

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
• 5+ years of experience in a Platform Engineering, 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)

Why You Should Join

As one of the top mortgage lenders in the country, Pennymac has helped over 4 million lifetime homeowners achieve and sustain their aspirations of home. Our vision is to be the most trusted partner for home. Together, 4,000 Pennymac team members across the country are guided by our core values: to be Accountable, Reliable and Ethical in all that we do. Pennymac is committed to conducting a business that makes positive contributions and promotes long-term sustainable growth and to fostering an equitable and inclusive environment, where all employees and customers feel valued, respected and supported.

Benefits That Bring It Home: Whether you're looking for flexible benefits for today, setting up short-term goals for tomorrow, or planning for long-term success and retirement, Pennymac's benefits have you covered. Some key benefits include:

• Comprehensive Medical, Dental, and Vision
• Paid Time Off Programs including vacation, holidays, illness, and parental leave
• Wellness Programs, Employee Recognition Programs, and onsite gyms and cafe style dining (select locations)
• Retirement benefits, life insurance, 401k match, and tuition reimbursement
• Philanthropy Programs including matching gifts, volunteer grants, charitable grants and corporate sponsorships

To learn more about our benefits visit: https://pennymacnews.page.link/benefits

For residents with state required benefit information, additional information can be found at: https://www.pennymac.com/additional-benefits-information

Compensation: Individual salary may vary based on multiple factors including specific role, geographic location / market data, and skills and experience as defined below:

• Lower in range - Building skills and experience in the role
• Mid-range - Experience and skills align with proficiency in the role
• Higher in range - Experience and skills add value above typical requirements of the role

Some roles may be eligible for performance-based compensation and/or stock-based incentives awarded to employees based on company and individual performance.

Salary

$95,000 - $155,000

Work Model

OFFICE