Senior Software Engineer Threat Detection Platform

Role Summary

We are seeking a Senior Software Engineer to join our team and help build the next generation of malware detection and analysis technologies. This role focuses on developing scalable cloud-based services that analyze, classify, and process suspicious files using a combination of static analysis, dynamic analysis, and machine learning techniques.

The ideal candidate will have strong software engineering fundamentals, expertise in Python development, and experience working with security-focused platforms, distributed systems, and cloud-native applications. You will play a key role in enhancing detection capabilities, improving platform reliability, and driving innovation across our threat analysis ecosystem.

• Design, develop, and maintain core components of the Threat Detection Platform, including file ingestion, task orchestration, analysis workflows, and management APIs.
• Build and enhance static analysis engines for malware detection, including PE file inspection, code-signing validation, YARA scanning, document macro analysis, archive inspection, and reputation-based lookups.
• Develop and maintain dynamic analysis capabilities, including sandbox orchestration, behavioral analysis, event collection, and threat intelligence processing.
• Integrate and optimize machine learning models for automated classification of files and threat detection.
• Develop automated testing frameworks and integration tests to ensure end-to-end platform quality and accuracy.
• Troubleshoot and resolve complex production issues using logs, metrics, monitoring tools, and database analysis.
• Improve platform scalability, performance, reliability, and code quality while reducing technical debt.
• Participate in architecture discussions, design reviews, and code reviews to ensure engineering best practices.

Required Qualifications

• 8+ years of software engineering experience with a Bachelors degree (or equivalent combination of education and experience).
• Strong programming skills in Python, including multithreading, REST API development, and database interaction.
• Working knowledge of C/C++ for debugging and supporting existing platform components.
• Experience with malware analysis concepts, including:
  • PE file structures and code signing
  • YARA rules
  • Office macro analysis
  • PDF and archive inspection
• Familiarity with machine learning model deployment and inference using frameworks such as PyTorch, LightGBM, or Scikit-learn.
• Experience with Linux-based environments, microservices architectures, and distributed systems.
• Hands-on experience with technologies such as MS SQL/MySQL, Redis, RabbitMQ, Docker, Jenkins, and Git.
• Strong troubleshooting, debugging, and problem-solving skills.

Preferred Qualifications

• Experience building threat detection, malware analysis, cybersecurity, or endpoint security products.
• Knowledge of sandboxing technologies, behavioral analysis, and threat intelligence platforms.
• Experience with cloud-native applications and large-scale security platforms.
• Strong understanding of CI/CD and DevSecOps practices.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.