Job Title:

Security Researcher

About Trellix  
Trellix is a global company redefining the future of cybersecurity. The company’s comprehensive, open, and native cybersecurity platform helps organizations confronted by today’s most advanced threats gain confidence in the protection and resilience of their operations. Trellix, along with an extensive partner ecosystem, accelerates technology innovation through artificial intelligence, automation, and analytics to empower over 50,000 business and government customers with responsibly architected security. More at https://trellix.com.

Role Overview:

This role requires the candidate to provide Clean File / Allow List content categorization and analysis. We are seeking an enthusiastic Allow List Researcher to join our growing organization. Our global ARC Threat Research organization works in the areas of malware research, response, Threat Intelligence and system Engineering and development. As part of this role you will be expected to learn the ins-and-outs of our clean file categorisation procedures, source clean files and develop automation for automated classification, resolve false detections, and ensure minimal false detection rates for ENS and other products. Additionally, you will help to develop automation and author content which will help “fight the bad guys.”

About the role :

Perform Researcher level analysis and categorization of non-malicious files

Perform Researcher level analysis and categorization of Potentially Unwanted Programs “PUPs”

Well versed with authoring content signatures.

Author Whitepapers and threat research blogs.

Improve our sources of clean files

Resolve false positive detections on non-malicious files

Resolve false positive detections and categorize files submitted by the Trellix Get Clean application 

Analyze digital certificates and classify accordingly

Develop and improve automation for processing bulk samples

Resolve 3rd party vendor escalations

Resolve Gateway Anti-Malware false positive detections

Develop customer clean file submission programs

Proactively classify files to prevent detection

Write Crawler scripts.

Automate daily operational tasks

Take responsibility for updating skills and technical growth

Interact effectively with other team members, actively support both team and company direction

Able to effectively multi-task, accepting changing direction in a fast-moving threat landscape

 

About you :

Degree Level Computing Qualification or equivalent with 2+ years demonstrated experience.

Ideally you will have previous experience in a Security Research / Content Categorization related role

You should have experience in Python, C/C++, GenAI or other similar programming languages.

You should have experience of various malware analysis tools, and be able to determine if a file is clean, malicious or a “Potentially Unwanted Program”

You should have knowledge of Windows OS internals - memory, threads, processes, API, etc.

You should have knowledge of Networking protocols and experience with network traffic analysis tools (Wireshark, Fiddler).

You should have excellent problem-solving skills, fast learner, self-motivated to take initiatives with focus on achieving results in timely manner.

Ability to positively adapt to changes and multitasking in a fast-moving industry

Willingness to work flexible hours when required

Company Benefits and Perks:

We believe that the best solutions are developed by teams who embrace each other's unique experiences, skills, and abilities. We work hard to create a dynamic workforce where we encourage everyone to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.

Retirement Plans

Medical, Dental and Vision Coverage

Paid Time Off

Paid Parental Leave

Support for Community Involvement

We're serious about our commitment to a workplace where everyone can thrive and contribute to our industry-leading products and customer support, which is why we prohibit discrimination and harassment based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.