Software Engineer II – Attack Detection

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop backend services and data pipelines to support customer-facing security functionalities.

• Incorporate machine learning models and large language models into detection and investigation workflows.

• Create AI agents that assess suspicious activities and aid in security investigations.

• Design tools that facilitate repeatable model training and agent-driven processes, assisting engineers in evaluating AI systems.

• Assess modifications against actual attack patterns and investigate missed attacks as well as false positives.

• Enhance system reliability and performance while adhering to latency and cost constraints.

• Write well-tested and readable code, contributing to technical designs and participating in code reviews.

• Take ownership of clearly defined features from design through to release, monitoring their performance in production.

• Collaborate with ML Engineers, Data Scientists, and Software Engineers to transform new strategies into dependable production systems.

• Assist in improving inbound email security while minimizing false positives and associated costs.

⛳️ Requirements

• A Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related engineering discipline.

• A minimum of 2 years of experience in software design and development.

• Experience with backend services or data-intensive applications where reliability and performance are crucial.

• Proficient programming skills in a general-purpose programming language.

• Understanding of data structures and software design principles.

• Familiarity with automated testing methods.

• Experience in diagnosing production issues using logs and metrics.

• Capability to translate product requirements into actionable designs and deliver solutions with guidance on broader technical choices.

• Strong technical communication skills and the ability to collaborate effectively with fellow engineers.

• Practical experience in machine learning is preferred.

• Hands-on machine learning experience from industry, research, or significant projects is preferred.

• Experience with large language models or AI agents, including the assessment of their accuracy and reliability, is preferred.

• Familiarity with statistical evaluation of classifiers, including precision and recall, is preferred.

• Proficiency in Python or Go is preferred.

• Experience with data pipelines or reproducible model experimentation tools is preferred.

• Background in cybersecurity or fraud detection is preferred.

🏝️ Benefits

• Bonus or incentive compensation may be available.

• Equity opportunities may be offered.

• Comprehensive benefits package provided.

• Pre-employment checks and processes are conducted in line with security and privacy standards.