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Software Engineer II – ADEX
Abnormal Security. Design, build, and operate detection for Abnormal's products from design through rollout, monitoring, and maintenance .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in software engineering with a strong focus on detection systems, leveraging AI for development and analysis. Proficient in Python and SQL, with a proven ability to manage projects from inception to delivery while maintaining clear communication and documentation.
Highest-signal resume keywords
Python ProficiencySQL ProficiencyDetection System DevelopmentAI-Native DevelopmentProject Ownership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software Engineering FundamentalsData StructuresAlgorithmsSystem DesignTestingDebuggingClean CodeDetection Logic WritingLLM-Based DetectionMetrics Evaluation
Soft Skills
Excellent CommunicationGrowth MindsetSense of Ownership
Tools & Technologies
AI Coding AgentsDetection SystemsObservability ToolsRunbooks
Industry Keywords
Adversarial MindsetProduction SystemsData AnalysisFalse Positives MinimizationReusable Intelligence
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Design, build, and operate detection for Abnormal's products from design through rollout, monitoring, and maintenance
- Own detection projects end-to-end, including loosely defined projects
- Analyze missed attacks and translate underlying patterns into detection enhancements or new detection systems
- Write and tune detection logic using scored signals and attributes
- Add new signals across the pipeline and minimize false positives
- Build and evaluate LLM-based detection agents using precision and recall metrics
- Surface detections as reusable intelligence for other products and teams
- Participate in on-call rotation, debug and resolve customer escalations, and improve observability and runbooks
- Use AI for code, tests, data analysis, experiments, and documentation
- Document work, share learnings, and contribute feedback in code and design reviews
Requirements
What you’ll need- 3+ years of professional software engineering experience, with a track record of shipping and operating production systems
- Strong software engineering fundamentals: data structures, algorithms, system design basics, testing, debugging, and clean, maintainable code
- Strong Python proficiency and comfort learning new languages and frameworks as needed
- Comfortable with SQL and reasoning over large datasets
- Detection or adversarial mindset
- Fluency with AI-native development and daily use of AI coding agents
- Excitement to build LLM-powered detection
- Ability to own projects with initial ambiguity, clarify and scope requirements, make tradeoffs, deliver on time, and communicate status
- Excellent written and verbal communication
- Growth mindset and sense of ownership
Benefits
Comp & perks- Solve hard, meaningful problems at the intersection of AI, security, and large-scale detection
- Work with smart, kind, and ambitious teammates
- Real ownership and autonomy over an important detection surface
- Opportunities to grow toward Senior and Staff roles
- AI-native R&D organization with investment in tools, workflows, and training
- AI-assisted recruiting and interview preparation tools
- Equal opportunity employer