Software Engineer 2 - Identity Security

Abnormal

76d • $148,800 - $175,000

About The Position

At Abnormal Security, we safeguard the world's largest enterprises from cybercrime. We protect our customers against adversaries who are constantly evolving their techniques and tactics to outwit and undermine the traditional approaches to Email Security. That’s what makes our novel behavioral-based approach so…Abnormal. Abnormal has consistently been named as one of the top cybersecurity startups, and our behavioral AI system has helped us win various cybersecurity accolades. We’ve built our reputation & brand through an industry-leading email security solution, which is currently trusted to protect more than 20% of the Fortune 500. Now is the time for Abnormal to expand our ambitions and potential to add even more value for our customers beyond email. As a Software Engineer 2 on our new Identity Security initiatives, you’ll build protections for non‑human identities across complex enterprise environments. This is a 0→1 product team that requires a creative, incubator mindset—rapid prototyping, tight feedback loops, and comfort with ambiguity. You will work under the top engineers in the company, gaining significant mentorship and growth through close collaboration and rigorous design practices.

Requirements

• 2+ 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.

Nice To Haves

• Experience with Go and Python.
• Experience in IAM, non‑human/machine identities, secrets management, workload identities, OAuth/OIDC, SCIM, SSO, or policy engines.
• Experience in cybersecurity or related industries.
• 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.

Benefits

• Bonus eligibility
• Restricted stock units (RSUs)
• Individual compensation packages based on skills, experience, qualifications and other job-related reasons.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Bachelor's degree