Senior Software Engineer - Python exp is a must - SonicWall

SonicWall is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter , LinkedIn , Facebook and Instagram .

Role Summary

We are seeking a Senior Software Engineer to join our Threat Detection Platform 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.

Own the core detection capabilities across both platforms, including static and dynamic analysis engines, machine learning inference pipelines, compiled analysis components, and the Windows-based sandbox environment. Responsible for driving detection accuracy, platform reliability, and the evolution of analysis technologies that power threat verdicts.

Responsibilities

• Develop, optimize, and maintain static analysis capabilities, including PE and Authenticode signature validation, YARA scanning, Office macro analysis, PDF inspection, archive analysis, and cloud-based hash reputation lookups.
• Manage the machine learning inference pipeline across both products, including model integration, tuning, deployment, and version control within production services.
• Own and enhance the dynamic analysis environment, including Windows VM lifecycle management on KVM/libvirt, guest configuration, behavioral telemetry collection, and support for additional operating systems.
• Read, troubleshoot, enhance, and maintain C/C++-based analysis components that support platform detection capabilities.
• Improve detection effectiveness by developing new analysis engines, expanding file-type coverage, creating behavioral signatures, and increasing test coverage across detection workflows.
• Investigate and resolve production detection issues, including false positives, false negatives,