Scan your resume against ATS criteria for this Senior Malware Detection Engineer role at SentinelOne.
At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.
SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.
Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.
We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Senior Malware Detection Engineer with deep expertise in Linux and macOS — someone who is always looking to analyze and break things while pursuing a complete understanding of how they work, who lives to beat the system and challenge it, and who is driven to outsmart malware to protect our customers.
Primary responsibilities include
Perform in-depth analysis and research (through reverse engineering and other methods) of Linux and macOS threats, TTPs, exploits, and malware — including ELF and Mach-O binaries, shell/script-based malware, and software supply-chain / malicious open-source packages — to understand how they operate and close detection gaps.
Analyze endpoint telemetry alongside binaries and samples to validate detections, hunt telemetry and use security platforms for emerging malware families, and prioritize new coverage.
Share research findings with other detection teams and collaborate across internal/external groups to strengthen detection capability.
Own detection coverage end to end: write and maintain detection assets, be accountable for FP/FN quality, detection efficacy and performance.
Design and maintain the CI/testing infrastructure used to build, test, and ship detection content safely.
Build and improve tooling that gives the team visibility into rule performance, coverage, and FP/FN trends — increasingly leveraging AI/LLM-assisted pipelines to speed up triage and analysis for covering the detection gap.
Respond quickly to emerging threats and customer detection escalations for malware requests.
Support detection coverage validation against BAS (Breach and Attack Simulation) frameworks.
Mentor other engineers on Linux/macOS malware analysis and detection engineering practices.
You'll also be encouraged to write whitepapers, blogs, and articles.
A dedication to continuous learning and skill development to meet evolving job demands.
5+ years of experience in both static and dynamic malware analysis and reverse engineering, with proven depth on Linux and working knowledge of macOS (or vice versa).
Proficiency with reverse engineering and analysis tools, such as disassemblers, compilers, and debuggers like IDA, Ghidra, Hopper, LLDB, GDB.
Strong background in malware analysis and understanding its behavior, including advanced techniques such as anti-tampering, defense evasion, lateral movement, persistence, and ransomware activity.
Good understanding of MITRE ATT&CK TTPs.
A strong inclination toward automating routine analysis and detection workflows.
Excellent and deep understanding of Linux (both user-mode and kernel-mode):
Core system internals — processes and threads, IPC, tracing (including eBPF), security, virtual memory — and how they work behind the scenes.
Understanding of containers and Kubernetes, including common container escape and cloud-native attack techniques.
For macOS:
Understanding of ARM64/Apple Silicon architecture.
Understanding of sandbox internals/escapes, and Transparency, Consent and Control (TCC) internals/escapes.
Understanding of security mechanisms such as File Quarantine, XProtect, and Gatekeeper.
Programming experience: Assembly, C/C++, Objective-C (for macOS), Python.
Experience creating production detection rules using YARA/plist or similar engines.
Exposure to AI/LLM-assisted reverse engineering or detection-authoring tooling.
Good understanding of existing AV/EDR/EPP internals and detection mechanisms.
Experience building CI/CD pipelines (Jenkins, GitHub Actions, or similar) for shipping detection content.
Familiarity with attack simulation frameworks (BAS) and their TTPs.
Experience querying large-scale telemetry (SQL, EventDB/DataSet, Redash, or similar) to validate detections.
AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.
We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:
Restricted Stock Units (RSUs)
Employee Stock Purchase Plan (ESPP)
Competitive leave benefits
Gender-neutral parental leave
Medical and insurance benefits
Employee Assistance Program (EAP)
Global home office allowance
Internet allowance
LinkedIn Learning license
Social Connect program
Food allowance (Bangalore office)
Meal vouchers (Sodexo)
SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
SentinelOne participates in the E-Verify Program for all U.S. based roles.
How to apply for Senior Malware Detection Engineer at SentinelOne?
Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.
What is the salary for this role?
Salary details will be discussed during the interview.
What experience is required?
5+ yrs of experience is required.
Is this position still open?
Yes, currently active and accepting applications.
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