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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. Job Overview We're looking for an experienced, forward-thinking Observability Engineer to expand our Observability team in Core Services Engineering, and strengthen our observability capabilities across Pennymac environments. In this role, you will be responsible for designing, implementing, and maintaining our observability platform, with a strong focus on New Relic. You will leverage your expertise in Infrastructure as Code (IaC) to automate and manage our monitoring and alerting infrastructure, ensuring our systems are reliable, performant, and transparent. You will work closely with Core Services, DevOps, Development and Operation teams to foster a culture of proactive monitoring and data-driven decision-making. If you're passionate about automation, cloud-native patterns, and making systems run smarter and safer, we want to hear from you. A Typical Day The Sr Observability Engineer will: Design & Implement Observability Solutions: Architect, build, and scale comprehensive monitoring solutions using the New Relic platform, including APM, Infrastructure, Logs, Synthetics, and custom instrumentation (NRQL). 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"description_excerpt": "Principle Applied AI Engineer Carrollton, Texas; Cary, North Carolina 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. 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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 We're looking for a highly experienced and motivated Senior AI Engineer to develop and deploy cutting-edge AI/ML solutions within our AI Accelerator Team. You'll work with and mentor a team of engineers responsible for leveraging the latest AI ( Artificial Intelligence ) technologies and ML ( Machine Learning ) models to deploy best-in-class tools for Pennymac's employees and customers. This role requires a deep understanding of AI agentic programming, machine learning algorithms, natural language processing (NLP), computer vision, AWS and GCP cloud technologies, and MLOps practices. Strong communication skills are essential to effectively collaborate within the team and provide technical mentorship to peers. 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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 We're looking for a highly experienced and motivated Senior AI Engineer to develop and deploy cutting-edge AI/ML solutions within our AI Accelerator Team. You'll work with and mentor a team of engineers responsible for leveraging the latest AI ( Artificial Intelligence ) technologies and ML ( Machine Learning ) models to deploy best-in-class tools for Pennymac's employees and customers. This role requires a deep understanding of AI agentic programming, machine learning algorithms, natural language processing (NLP), computer vision, AWS and GCP cloud technologies, and MLOps practices. Strong communication skills are essential to effectively collaborate within the team and provide technical mentorship to peers. 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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. 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