Software Engineer, Abnormal Security

• 1+ years building software applications
• Experience productionizing large‑scale, data‑intensive systems
• High velocity and creativity in solving technical challenges
• Experience & desire to adopt & improve AI-native development workflows
• Strong debugging with logs, metrics, and signals
• Ability to translate business requirements into high‑quality software
• Ability to independently solve complex problems and work cross‑functionally
• BS in CS/SE/IS or related field

Desirable

• Enterprises are undergoing two simultaneous transformations: moving critical infrastructure to the cloud and adopting AI agents at scale. Both create an identity explosion—humans, service accounts, and AI agents now outnumber traditional users 10-to-1, each with permissions that legacy tools can't govern
• Abnormal's Identity Security team is building the platform to secure this new reality: unified visibility across all identity types, behavioral intelligence that understands what's normal, and AI-native automation that operates at cloud speed. We're extending the same behavioral approach that made Abnormal the leader in email security to protect identities across cloud infrastructure and AI systems
• Build discovery, classification, monitoring, and protection for machine identities and their agentic actions
• Ship guardrails and policy engines that enable safe automation while preventing misuse, escalation, and anomalous behavior
• Create high‑availability pipelines that ingest and correlate identity, authorization, and behavioral signals from cloud, SaaS, IAM/SSO, and audit logs
• Drive 0→1 iteration: prototype quickly, test assumptions, learn from usage, and scale simple solutions
• Collaborate across security, platform, and data teams; write and review technical designs; and participate in core SDLC rituals