Tech Stack
CloudDistributed SystemsDNSETLGoGoogle Cloud PlatformKubernetes
About the role
- We’re building the most advanced system for malware discovery and analysis on the planet - not as a nice-to-have feature, but as a new foundation for security.
- We process trillions of DNS resolutions. Analyze billions of files continuously. Preserve every artifact, forever, and re-analyze them constantly with detection logic and intelligence that gets smarter by the hour.
- Our architecture is complex. Our mission is clear. We need a VP of Engineering who can lead both.
- This is a role for someone who can operate technically at depth - designing the next phase of a distributed system that processes and analyzes petabytes of data every day - while also building the org, practices, and culture that make execution consistent and scalable. Not just shipping fast, but shipping sustainably. Not just building systems - building a team that can evolve them for years.
- What You’ll Own
- Product & Platform Execution
- Org Design & Leadership
- Collaboration & Strategic Impact
- Technical Leadership
Requirements
- 10+ years of software engineering experience, with 5+ in senior leadership roles (VP, Director, or similar).
- Proven track record building and scaling complex distributed systems - including architecture, execution, and operations.
- Experience leading cross-functional teams across backend, platform, and infrastructure - with a strong bias for shipping.
- Deep familiarity with cloud-native systems (ideally GCP), Go, Kubernetes, and CI/CD pipelines.
- Experience integrating AI/ML into product features or infrastructure — ideally in applied contexts like detection logic, enrichment, anomaly analysis, or automation workflows.
- Strong grasp of how to apply AI tools to modern software development — from internal copilots to code quality checks, testing, and build acceleration.
- Demonstrated ability to set and enforce high standards across hiring, code quality, technical design, and delivery.
- Strong communication and planning skills - with a willingness to roll up your sleeves when needed.
- Background in security infrastructure, malware analysis, threat detection, or high-scale telemetry systems.
- Experience with large-scale data pipelines, ETL, or continuous scanning infrastructure.
- Familiarity with detection logic (YARA, Sigma), binary analysis, or reverse engineering workflows.
- Track record of building customer-facing APIs or developer platforms with high adoption and integration complexity.
- Comfortable balancing short-term wins with long-term architectural decisions - and communicating those tradeoffs clearly.