Lead and grow the engineering team responsible for Shield Threat Protection’s core detection and response capabilities
Define and drive technical strategy and architecture for highly available, autoscaling services that protect enterprise content at scale
Deliver robust detection engines for malware, ransomware, and data exfiltration, along with real-time alerting dashboards and automated response workflows
Partner with Product and Infrastructure to shape the roadmap, prioritize outcomes, and align on scalable, secure designs
Establish strong engineering practices across CI/CD, observability, testing, and incident response to maintain 99.9%+ uptime
Mentor and develop engineers and managers, fostering an inclusive culture and clear structures that enable efficient, high-quality delivery
Integrate ML-driven anomaly detection pipelines with existing security systems to enhance precision and coverage
Engage with enterprise stakeholders to translate security requirements into scalable solutions that meet compliance and reliability standards
Manage and coordinate the team’s on-call rotation, actively participate in escalated on-call incidents, and drive improvements to minimize disruptions
Own technical strategy and execution for enterprise-grade threat detection at massive scale; guide a distributed team to deliver high-availability services and cultivate technical excellence
Requirements
12+ years in software engineering with 6+ years in engineering management, including managing managers and scaling distributed teams
Deep expertise in modern distributed systems and cloud-native architectures
Experience operating autoscaling, high-availability services in production (GCP preferred)
Hands-on familiarity with Kubernetes and infrastructure as code
Strong CI/CD experience (e.g., Jenkins, Artifactory) and observability (e.g., Chronosphere)
Full-stack foundation with Java/Spring Boot and React/TypeScript
Security engineering experience building or integrating threat detection systems
Knowledge of frameworks like MITRE ATT&CK and compliance regimes (e.g., GDPR, HIPAA)
Experience designing, deploying, and maintaining ML-based anomaly detection pipelines using platforms like Vertex AI or similar (approximately 10% of the role)
Exceptional written and verbal communication skills; ability to align technical vision with cross-functional partners and executive stakeholders
Inclusive leadership and people management skills; experience mentoring engineers and managers
Experience with incident response and on-call management
Benefits
Box is committed to fair and equitable compensation practices; eligible for equity and benefits
Healthcare benefits (see healthcare benefits link in job posting)
Additional Box Benefits + Perks (see Box Benefits + Perks link in job posting)
Role is eligible for equity
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
software engineeringengineering managementdistributed systemscloud-native architecturesautoscaling servicesKubernetesinfrastructure as codeCI/CDJavaSpring Boot
Soft skills
communication skillsinclusive leadershippeople managementmentoringcross-functional collaborationtechnical vision alignmentincident responseon-call management