As Head of Platform Engineering, lead teams in developing cybersecurity solutions. Oversee architecture, performance, and operational strategies for a high-performance platform.
Responsibilities
Define Platform Strategy & Architecture: Overview the entire service platform, overseeing architectural design, technology selection, and strategic planning to ensure the platform can scale to petabytes of security data and billions of daily events.
Own the Platform Engineering Roadmap: Prioritize initiatives that maximize reliability, performance, security, and developer efficiency across our core systems.
Lead Site Reliability Engineering (SRE): Define and driving adherence to critical Service Level Objectives (SLOs) and Service Level Indicators (SLIs), managing on-call rotations, and minimizing toil through automation.
Lead & Mentor Platform Engineering Team: Drive a culture of engineering rigor, operational ownership, and continuous improvement.
Collaborate with Product Management & Security Operations: Translate new product requirements into robust, scalable, and cost-effective platform solutions.
Establish and Enforce DevSecOps Practices: Standardize CI/CD pipelines, security testing, and deployment mechanisms for rapid, secure, and reliable software delivery.
Foster Innovation: Identify and drive the adoption of new engineering methodologies and infrastructure technologies.
Requirements
8+ years of progressive experience in Software or Platform Engineering
Proven track record of architecting, building, and operating highly scalable, distributed, and secure enterprise-grade SaaS platforms.
Expertise in Site Reliability Engineering (SRE) principles, cloud-native architecture, and developing organizational process improvements
10+ years of experience in the cybersecurity, enterprise SaaS, or B2B technology industry
Strong understanding of modern security technologies such as SIEM, EDR, Threat Intelligence, and the challenges of processing high-volume, real-time security event data at scale
Strong fundamentals in cloud infrastructure (AWS, GCP, or Azure)
Deep understanding of modern data architecture, including real-time data pipelines, stream processing, and large-scale data warehousing/lakehouse technologies
Experience in defining and building the underlying infrastructure to support AI/ML model training, deployment and monitoring
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