About the Role You’ll be part of a small, elite founding engineering team solving real-world security problems that sit at the intersection of network security, cloud infrastructure, and large-scale data systems. This is a hands-on role where you’ll design and build core parts of the product – from network-aware security logic and attack-path modeling, to high-performance pipelines that process massive volumes of security and infrastructure data. If you’re excited about deep security challenges, love building real systems end-to-end, and want massive impact in an early-stage team – we’d love to meet you. Requirements Requirements: Qualifications Experience: 5+ years of hands-on experience in cybersecurity engineering or security-focused backend engineering. Strong Networking Knowledge: Deep understanding of: Firewalls, routing, NAT, ACLs, subnets Common enterprise network architectures Network segmentation and exposure concepts Security Engineering: Strong foundations in: Threat modeling Attack paths / exposure chains Security best practices for modern on prem and cloud systems Backend / Systems Engineering: Ability to build production-grade systems with clean architecture and strong engineering standards. Production Ownership: Comfortable owning systems in production – observability, debugging, performance, and reliability. Team Mindset: Strong communication skills, high ownership, and the ability to thrive in a fast-paced, “build-first” startup environment. Advantage Experience with Vulnerability Management, CVEs, scanners, asset inventory, risk scoring, and remediation workflows. Experience with Exposure Management concepts (attack surface, reachable assets, blast radius, privilege paths). Experience with cloud security. Experience with high-scale data ingestion and normalization pipelines. Familiarity with graph-based security modeling (attack graphs, exposure graphs, reachability analysis). Experience with high-performance data systems (ClickHouse / Postgres / graph databases). Strong debugging skills and ability to optimize complex distributed systems. Cloud & Kubernetes: Experience working with cloud-native systems and Kubernetes environments.
