Abnormal Security aims to expand its cybersecurity offerings beyond email security to protect non-human identities across complex enterprise environments, addressing the evolving techniques of adversaries in cybercrime.
Requirements
- 2+ years building software applications.
- Experience productionizing large‑scale, data‑intensive systems.
- Strong debugging with logs, metrics, and signals.
- Experience with Go and Python.
- Experience in IAM, non‑human/machine identities, secrets management, workload identities, OAuth/OIDC, SCIM, SSO, or policy engines.
- Experience with big data, statistics, and ML for identity/behavioral risk modeling.
Responsibilities
- 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.
Other
- This position requires you be in the SF Bay Area, you will be expected to work roughly 25% in office
- High velocity and creativity in solving technical challenges.
- Experience & desire to adopt & improve AI-native development workflows.
- Ability to translate business requirements into high‑quality software.
- Ability to independently solve complex problems and work cross‑functionally.
