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Director, Engineering – Cloud Detection Platform
CrowdStrike. Own the multi-year strategy, architecture, and roadmap for the Cloud Detection Platform .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in leading engineering teams and managing large-scale distributed systems, with a strong focus on operational excellence, strategic outcomes, and architectural judgment. Proven ability to integrate AI technologies and manage cross-team dependencies in a cloud detection environment.
Highest-signal resume keywords
Cloud Detection Platform LeadershipLarge-Scale Distributed Systems ManagementOperational Excellence for Customer-Facing ServicesAI Technology UtilizationSecurity and Detection Engineering Domain Expertise
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringArchitectural JudgmentCapacity PlanningCost ManagementDetection-as-CodeContent Management SystemsRule Authoring PlatformsIncident ResponseSLO DefinitionMulti-Tenant Capacity Management
Soft Skills
Excellent Communication SkillsLeadership Through AmbiguityCoaching and Performance Management
Industry Keywords
SIEMThreat IntelligenceDetection EngineeringData-Intensive PlatformsStreaming SystemsQuery/Search EnginesRule/Event Processing Pipelines
Tech Stack
Tools & technologiesCloudDistributed Systems
About the role
Key responsibilities & impact- Own the multi-year strategy, architecture, and roadmap for the Cloud Detection Platform
- Lead and grow an organization of managers and senior engineers across multiple teams
- Own the full talent lifecycle, including hiring, coaching, performance, and succession
- Be accountable for reliability, latency, and cost of detection rule execution at fleet scale
- Define SLOs and manage capacity, quotas, and COGS
- Drive evolution toward a unified multi-engine detection architecture across scheduled, real-time, and retrospective execution
- Partner with detection engineering, content, product management, and data platform teams to prioritize and deliver roadmap commitments
- Build guardrails for safe detection-content shipping, including pre-release validation, staged deployment, rollback, exclusion management, and end-to-end testing
- Anticipate and manage escalations and cross-team dependencies
- Represent the platform in architecture and planning forums across the product organization
- Drive annual operating plan and organizational planning for the area
- Lead the Cloud Detection Platform that executes detection logic in the cloud at massive scale and supports detection engineers across endpoint, cloud, identity, and next-gen SIEM
Requirements
What you’ll need- 10+ years of software engineering experience
- 5+ years managing engineering teams
- 2+ years managing managers
- Experience owning large-scale distributed systems in production, ideally data-intensive platforms such as query/search engines, streaming systems, or rule/event processing pipelines
- Track record of being fully accountable for strategic outcomes over one-to-two-year horizons
- Strong architectural judgment and ability to engage in design reviews, influence technical direction, and make build/buy/consolidate decisions
- Experience managing operational excellence for customer-facing services, including SLOs, incident response, capacity planning, and cost management
- Demonstrated ability to lead through ambiguity, organizational change, competing priorities, and cross-team dependencies
- Excellent communication skills with executives, peers, and engineers
- Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency, and drive business outcomes
- Domain experience in security, detection engineering, SIEM, or threat intelligence
- Experience with detection-as-code, content management systems, or rule authoring platforms
- Experience with multi-tenant capacity management, fair-usage models, or COGS optimization at cloud scale
- Experience integrating AI-assisted or agentic workflows into engineering practice
Benefits
Comp & perks- Market leader in compensation and equity awards
- Comprehensive physical and mental wellness programs
- Competitive vacation and holidays for recharge
- Paid parental and adoption leaves
- Professional development opportunities for all employees regardless of level or role
- Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
- Vibrant office culture with world class amenities
- Health insurance
- 401k
- Paid time off
- Eligibility for bonuses
- Equity grants