Senior Software Engineer — Python exp is a must

SonicWall; Bengaluru; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

SonicWall in Bengaluru is seeking a Senior Software Engineer to join the Threat Detection Platform team and help build the next generation of malware detection and analysis technologies. The role focuses on scalable cloud-based services for static and dynamic analysis and machine learning-driven threat detection, requiring strong Python and C/C++ skills, Linux expertise, and production ML experience.

Collaborate with cross-functional teams to improve platform performance, reliability, and

Qualifications

• 8+ years of software engineering experience or equivalent.
• Strong Python and C/C++ development skills.
• Experience with static and dynamic malware analysis concepts.
• Experience deploying ML inference in production.

Responsibilities

• Develop, optimize, and maintain static analysis capabilities (PE, sign validation, YARA, PDF).
• Manage the ML inference pipeline across products, including deployment and tuning.
• Own dynamic analysis environment and Windows/KVM virtualization integration.
• Read and enhance C/C++-based analysis components.
• Improve detection by adding new engines and broader file-type coverage.
• Investigate and resolve production detection issues (false positives/negatives).
• Participate in architectural and code reviews to uphold standards.
• Collaborate with cross-functional teams to improve performance and reliability.

Skills

Python development

C/C++ development

Multithreaded programming

Machine learning inference

Linux debugging

Education

Bachelor's degree in Computer Science, Engineering, or related field

Master's degree

PhD

Tools

PyTorch

LightGBM

scikit-learn

ONNX

Job description

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.

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, engine failures, and sandbox-related issues.
• Participate in architectural discussions, design reviews, and code reviews to help maintain high engineering standards.
• Collaborate closely with cross-functional teams to continuously improve platform performance, reliability, and detection accuracy.

Requirements

• Minimum of 8 years of software engineering experience with a Bachelor's degree in Computer Science, Engineering, or a related field; alternatively, 6+ years with a Master's degree, 3+ years with a PhD, or equivalent professional experience.
• Strong Python development experience, including multithreaded programming and performance optimization.
• Working proficiency in C and C++, with the ability to read, debug, build, and modify compiled analysis components.
• Solid understanding of static file analysis techniques, including PE file structures, code-signing validation, YARA rules, Office macros, PDF formats, and archive file inspection.
• Experience deploying and maintaining machine learning inference solutions in production using frameworks such as PyTorch, LightGBM, scikit-learn, or ONNX, including feature engineering and model optimization.
• Familiarity with KVM/libvirt or similar virtualization technologies and a working knowledge of Windows internals, or the ability to quickly develop expertise in these areas.
• Experience with malware analysis, sandbox technologies, threat detection platforms, or cybersecurity software.
• Comfortable working in Linux environments, including process troubleshooting, log analysis, and shell scripting on Ubuntu or Debian-based systems.
• Strong written communication skills and the ability to collaborate effectively within a distributed, asynchronous team environment.

Cross-Team Coverage Expectations

• Contribute to a collaborative engineering environment where team members provide coverage across functional areas when needed.
• Provide maintenance-level support and first-line incident response outside primary areas of expertise, including Python-based services, distributed task processing systems, management APIs, and deployment infrastructure.
• Support operational continuity during teammate absences and partner with subject matter experts when deeper technical specialization is required.

Equal Opportunity Employer

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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