About Us: The Patrick J. McGovern Foundation (PJMF) is a philanthropic organization dedicated to advancing artificial intelligence and data science solutions to create a thriving, equitable, and sustainable future for all. PJMF works in partnership with public, private, and social institutions to drive progress on our most pressing challenges, including digital health, climate change, broad digital access, and data maturity in the social sector. What We’re Building: PJMF is building a suite of AI-enabled tools that will serve as the intelligence layer for modern philanthropy. Every year, foundations and corporate funders deploy hundreds of billions of dollars toward humanity's most pressing challenges—yet they do so using systems designed for compliance, not insight. Program officers spend more time reformatting documents and reconciling spreadsheets than learning from their portfolios or deepening relationships with grant partners. Grant Guardian, PJMF’s existing product, already helps hundreds of foundations use AI to streamline their financial due diligence workflows. The next step is a product that will place AI at the center of strategic philanthropy by automatically distilling grant applications into actionable insights, identifying patterns across thousands of grants, generating board materials in minutes, and lowering barriers for historically excluded organizations through features like proposal feedback and translation. About the role: We are seeking a self-driven Junior DevOps Engineer to contribute to the development, deployment, and maintenance of data and AI products that support positive social impact around the world. You will support the maintenance of the cloud infrastructure that powers our AI and data products, while contributing to the full-stack applications built on top of it. You will also work directly with nonprofit partners, helping them understand and adopt the tools we build. We are a small team. We work in short cycles and collaborate across disciplines. In this role, you will contribute directly to cloud-based applications that bring AI outputs into real use. This is an early-career, growth-oriented DevOps role designed for engineers who are building foundational experience in cloud infrastructure, automation, and deployment systems. The role operates under the guidance of senior engineers and progressively assumes greater responsibility as skills and confidence develop.