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.
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.
Key Responsibilities
- 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 Bachelor's 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.
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SonicWall is an equal opportunity employer.
We are committed to creating a diverse environment and are an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law.
At SonicWall, we pride ourselves on recruiting a diverse mix of talented people and providing active security solutions in 100+ countries.
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