Principal Security Operations Engineering Manager

Build, manage, coach, and develop a high-performing team of security engineers by defining clear objectives, enabling success across boundaries, investing in individual growth, scaling the team's capabilities, and managing performance with care and accountability. Define and execute the team's product and platform security roadmap, align objectives and key results with company priorities, and deliver measurable improvements in risk reduction, control effectiveness, engineering efficiency, and secure development maturity. Own and continuously improve the SSDLC by integrating security requirements, architecture and code reviews, threat modeling, static and dynamic analysis, fuzzing, penetration testing, and continuous end-to-end testing throughout the software lifecycle. Design and drive adoption of paved paths and developer guardrails for secure coding, cryptographic hygiene, dependency management, software supply-chain security, code integrity, and secure CI/CD across on-premises and cloud environments. Build and mature security tooling, automation, and AI-assisted workflows that improve coverage and technical rigor, surface high-value insights, reduce operational overhead, and prevent recurring classes of vulnerabilities. Lead internal penetration-testing efforts and manage engagements with external security-testing partners when specialized expertise or independent validation is needed; ensure findings are prioritized, remediated, and used to improve systemic controls. Partner with engineering and product teams to identify and mitigate security risks without creating unnecessary delivery friction, pressure-test designs, guide tradeoffs, and make secure approaches easier to adopt. Maintain deep technical understanding of the product and platform landscape, evolving attack techniques, and modern defensive practices, and serve as an escalation point for complex or high-impact security risks. Use findings, incidents, and post-incident insights to improve architectures, workflows, standards, and controls, and communicate business impact, technical tradeoffs, and recommendations clearly to senior leaders. Establish and report meaningful measures for program health, control effectiveness, service availability, remediation progress, operational efficiency, adoption, and risk reduction, and use evidence to focus the team on the highest-value security work. Doctorate in Statistics, Mathematics, Computer Science, or related field AND 3+ years experience in software development lifecycle, large-scale computing, threat modeling, cyber security, anomaly detection, Security Operations Center (SOC) detection, threat analytics, security incident and event management (SIEM), information technology (IT), or operations incident response OR Master's Degree in Statistics, Mathematics, Computer Science, or related field AND 4+ years experience in software development lifecycle, large-scale computing, threat modeling, cyber security, anomaly detection, Security Operations Center (SOC) detection, threat analytics, security incident and event management (SIEM), information technology (IT), or operations incident response OR Bachelor's Degree in Statistics, Mathematics, Computer Science, or related field AND 6+ years experience in software development lifecycle, large-scale computing, threat modeling, cyber security, anomaly detection, Security Operations Center (SOC) detection, threat analytics, security incident and event management (SIEM), information technology (IT), or operations incident response 1+ year(s) people management experience These requirements include, but are not limited to the following specialized security screenings: Doctorate in Statistics, Mathematics, Computer Science, or related field AND 5+ years experience in software development lifecycle, large scale computing, threat modeling, cyber security, or anomaly detection OR Master's Degree in Statistics, Mathematics, Computer Science, or related field AND 8+ years experience in software development lifecycle, large scale computing, threat modeling, cyber security, or anomaly detection OR Bachelor's Degree in Statistics, Mathematics, Computer Science, or related field AND 12+ years experience in software development lifecycle, large scale computing, threat modeling, cyber security, or anomaly detection OR equivalent experience. 3+ years people management and/or informal/indirect team leadership experience. Experience defining technical roadmaps, managing deliverables, and driving operational excellence for complex, multi-stakeholder security or infrastructure initiatives. Experience conducting code and architecture reviews and guiding tradeoffs across security, correctness, performance, scale, reliability, and operability. Experience with cloud infrastructure, identity and access management, authentication, authorization, workload identity, privileged access, policy enforcement, or security-critical production systems. Knowledge of Azure, AWS, Kubernetes, continuous integration and continuous delivery security, endpoint security, vulnerability management, observability, logging pipelines, or modern security engineering practices. Ability to communicate security risks, technical tradeoffs, and recommendations clearly to technical, non-technical, and senior leadership audiences.