Principal Software Engineering Manager

About the role

Lead, coach, and grow a team of software engineers with clear goals, timely feedback, effective career development, and an inclusive environment. Own the team's execution from problem definition through design, implementation, deployment, and production operation, ensuring commitments translate into measurable customer value.

Provide technical direction for scalable, high-throughput, multi-tenant services and data pipelines that support asset discovery, attack-path analysis, exposure insights, and remediation. Establish a high bar for engineering fundamentals, including architecture, code quality, testing, security, resiliency, performance, telemetry, maintainability, and thoughtful error handling.

Build a live-site culture by improving observability, operational readiness, incident response, root-cause analysis, and the systematic elimination of recurring reliability issues. Turn loosely defined AI-era security challenges into clear priorities, achievable milestones, and well-scoped increments while balancing urgency, technical debt, and long-term platform health.

Embody our Culture and Values Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

These requirements include but are not limited to the following specialized security screenings: Master's Degree in Computer Science or a related technical field and 8+ years of technical engineering experience, including experience managing or leading software engineering teams.

2+ years of people-management or technical-leadership experience, including coaching engineers, setting expectations, providing feedback, and coordinating delivery across a team.

Experience designing, building, and operating scalable cloud services or distributed systems with production ownership and CI/CD integration Experience leading projects across organizational boundaries and communicating technical decisions, trade-offs, schedules, risks, and outcomes to technical and nontechnical stakeholders.

Experience with high-throughput, multi-tenant systems and strong fundamentals in concurrency, resiliency, testing, maintainability, and performance optimization. Experience with live-site operations, telemetry and monitoring, incident response, capacity planning, and service-health reviews.

Experience with large-scale data processing and analytics using technologies such as Kusto/Azure Data Explorer, Spark, Azure Synapse, or similar platforms. Experience delivering AI- or ML-enabled capabilities, or a strong interest in the security challenges introduced by AI systems.