Software Engineer 1 - Identity Security

Position Overview

This position requires you be in the SF Bay Area, with an expectation of working roughly 25% in office. At Abnormal Security, we safeguard the world's largest enterprises from cybercrime by protecting our customers against adversaries who continually evolve their techniques to outwit traditional email security methods. Our novel behavioral-based approach has earned us recognition as one of the top cybersecurity startups and is trusted by over 20% of the Fortune 500. As a Software Engineer 1 on our new Identity Security initiatives, you will build protections for non-human identities across complex enterprise environments. This 0→1 founding product team role requires a creative, incubator mindset with rapid prototyping, tight feedback loops, and comfort with ambiguity, while offering significant mentorship and growth opportunities from working with top engineers and participating in rigorous design practices.

Key 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.

Required Qualifications

• 1+ years building software applications.
• Experience productionizing large-scale, data-intensive systems.
• High velocity and creativity in solving technical challenges.
• Experience and desire to adopt and improve AI-native development workflows.
• Strong debugging skills using 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 a related field.

Preferred Qualifications

• 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.

Benefits & Perks

• Bonus, RSUs, and benefits: Certain roles are eligible for a bonus, restricted stock units, and comprehensive benefits.
• Compensation: Base pay range is $127,500-$150,000 USD.
• Location-based Compensation: San Francisco/New York base pay range is $140,300-$165,000 USD.