Software Engineer II – Attack Detection

Abnormal Security

. Build backend services and data pipelines for customer-facing security features .

Posted 11/6/2026full-timeRemote • United StatesJuniorMid-Level💰 $149,200 - $214,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building backend services and data pipelines, integrating machine learning models, and developing AI agents for security applications. Proficient in evaluating system performance and reliability while collaborating effectively with cross-functional teams.

Highest-signal resume keywords

Backend Services DevelopmentMachine Learning IntegrationPython ProgrammingData Pipeline ManagementCybersecurity Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DesignData StructuresAutomated TestingProduction Issue DiagnosisStatistical EvaluationLarge Language ModelsAI Agents DevelopmentModel Experimentation ToolsGeneral-Purpose ProgrammingPerformance Optimization

Soft Skills

Technical CommunicationCollaboration

Certifications & Qualifications

Bachelor's Degree in Computer Science

Industry Keywords

CybersecurityFraud DetectionMachine LearningData-Intensive ApplicationsFalse Positives Management

Tech Stack

Tools & technologies

Cyber SecurityPythonGo

About the role

Key responsibilities & impact

Build backend services and data pipelines for customer-facing security features
Integrate machine learning models and large language models into detection and investigation workflows
Develop AI agents that analyze suspicious activity and support security investigations
Build tools that make model training repeatable and agent-driven and help engineers evaluate AI systems
Evaluate changes against real attack patterns and investigate missed attacks and false positives
Improve system reliability and performance within latency and cost limits
Write tested, readable code and contribute to technical designs and code reviews
Own well-defined features from design through release and monitor their behavior in production
Collaborate with ML Engineers, Data Scientists, and Software Engineers to turn new approaches into reliable production systems
Help improve inbound email security while limiting false positives and cost

Requirements

What you’ll need

Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related engineering field
At least 2 years of experience in software design and development
Experience with backend services or data-intensive applications where reliability and performance matter
Strong programming skills in a general-purpose language
Knowledge of data structures and software design
Experience with automated tests
Experience diagnosing production issues through logs and metrics
Ability to turn product requirements into practical designs and deliver with guidance on larger technical decisions
Clear technical communication and effective collaboration with other engineers
Practical machine learning experience preferred
Hands-on machine learning experience from industry, research, or substantial projects preferred
Experience with large language models or AI agents, including evaluation of accuracy and reliability preferred
Experience with statistical evaluation of classifiers, including precision and recall preferred
Experience with Python or Go preferred
Experience with data pipelines or reproducible model experimentation tools preferred
Experience with cybersecurity or fraud detection preferred

Benefits

Comp & perks

Bonus or incentive compensation may be available
Equity may be available
Comprehensive benefits package
Pre-employment checks and processes aligned with security and privacy standards