Principal Software Development Engineer

Requirements

• We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most.
• This role requires a rare blend of deep domain expertise in security risk and the technical ability to bridge the gap between high-level strategy and robust software execution.
• About the Role As a Principal engineer, you will serve as the primary visionary for how our risk data is structured, analyzed, and automated, acting as the bridge between the Cybersecurity Risk organization and our Engineering teams. About You Basic
• Software Engineering & Development: Demonstrable proficiency in Python, Go, or Java with a strong background in version control (Git), API design, and the ability to build complex PoCs for risk models.
• Full-Lifecycle Engineering Governance: Proven mastery of the end-to-end SDLC, including the creation and oversight of comprehensive SRS documentation, Project Plans, and Product Backlogs to ensure architectural alignment from initial planning through to deployment and maintenance.
• Experience leading the technical roadmap for software engineering teams or data scientists without direct reporting authority (e.g., Lead, Principal, or Staff level experience).
• Technical Influence: Data & Automation Engineering: Verifiable proficiency in data pipeline logic, ELT/ETL processes, and data quality assurance, specifically as they apply to automating security telemetry. Other
• Essential Domain Knowledge Mastery of Cybersecurity Risk: A proven track record of designing and implementing Enterprise and Third-Party Risk Management (TPRM) programs at scale.
• Architectural Design: Demonstrated ability to take a blank slate and define complex security processes, translating them into technical user stories, functional specifications, and logic diagrams.
• Advanced Risk Modeling: Expertise in quantitative risk analysis (e.g., Monte Carlo simulations or FAIR methodology) and how to programmatically apply these models to software.

Experience

• Qualifications 9+ Years of

Benefits