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Lead architecture and implementation of reliability improvements across CrowdStrike's cloud-native platform. Build shared libraries and services, drive observability and SLO practices, perform performance and cost optimization, run resilience engineering and chaos experiments, automate infrastructure-as-code, mentor engineers, and embed with product teams to deliver scalable, highly reliable distributed systems at organizational scale.

Design, develop, test, and maintain out-of-the-box data connectors and parsers to ingest security logs into CrowdStrike Next‑Gen SIEM. Build lab environments, troubleshoot ingestion issues, collaborate on logging and normalization best practices, produce technical documentation, provide on‑call support, and work with customers and internal teams to resolve data ingestion incidents.

Leads the Platform API team responsible for cross-platform sensor abstractions and an on-sensor machine learning inference runtime. Owns technical strategy, API and ABI design, architecture, production delivery, quality, roadmap, and organizational adoption across Windows, Linux, and macOS. Hires, coaches, and develops engineers; manages resourcing, escalations, testing, telemetry, and cross-functional partnerships. Requires deep low-level C/C++ systems expertise, distributed-team leadership, and experience delivering reliable production software at scale.

Own the end-to-end software release lifecycle across Windows, macOS, Linux, containers, and mobile platforms. Responsibilities include build execution, deployment, post-release monitoring, release coordination, automation development, failure troubleshooting, release calendar management, stakeholder communication, rollback planning, metrics analysis, and go-live support. The role requires CI/CD familiarity, scripting in Python or Go, build systems experience, test-result interpretation, Agile/Scrum knowledge, and occasional support outside standard business hours.

Build and operate foundational platform services, libraries, and tooling for large-scale distributed systems. Lead reliability, scalability, observability, performance, resilience, cost optimization, and infrastructure-as-code initiatives across product teams. Define SLOs and error budgets, resolve complex incidents, improve architecture, mentor engineers, and influence organization-wide technical decisions. The role involves hands-on backend engineering, production coding, multi-cloud platforms, and automation to eliminate operational toil.

Leads and develops high-performing Site Reliability Engineering teams responsible for cloud platform reliability, scalability, and resilience. Partners with executives and cross-functional engineering, security, and operations teams to define technical strategy, drive SRE best practices, establish reliability metrics and SLOs, guide architecture, and champion automation and infrastructure-as-code initiatives. Requires extensive software engineering and leadership experience, distributed systems expertise, cloud proficiency, and strong executive communication.

Leads a team developing AI capabilities for CrowdStrike’s cross-platform endpoint sensor. Owns the AI-on-endpoint roadmap, including machine learning model operationalization, telemetry data pipelines, on-device inference, architecture, feature delivery, and cross-functional collaboration. Manages hiring, mentoring, engineering quality, testing, performance, and releases across Windows, macOS, and Linux sensor platforms.

Lead and develop distributed engineering teams building endpoint security sensor components across Windows, macOS, and Linux. Own the team roadmap, architecture, delivery, testing, performance, code quality, and safe releases. Guide systems-level development involving file systems, memory, processes, networking, and OS internals. Coach engineers, drive cross-team alignment, and support secure, reliable, high-performance software deployment at scale.

Design and develop AI capabilities for CrowdStrike’s cross-platform endpoint sensor across macOS, Linux, and Windows. Responsibilities include operationalizing machine learning models, building telemetry pipelines for training and inference, integrating features with core OS subsystems, debugging performance and memory issues, and leading architecture, delivery, mentoring, and cross-functional collaboration.

In this role, you'll ensure the reliability and scalability of the NG-SIEM platform, manage incident responses, and collaborate across teams to enhance system performance.