Android Malware Analyst

Location : Hyderabad / Chennai

Experience : 3- 8 Years

Employment Type : Full-Time, Permanent

Department : Engineering Software & QA

Industry : IT Services & Consulting

Job Summary :

We are seeking a skilled Android Malware Analyst with expertise in Android reverse engineering, malware analysis, and mobile security. The ideal candidate will have hands-on experience analyzing Android applications, identifying malicious behaviors, and assessing security threats. This role requires strong knowledge of Android internals, security engineering principles, and scripting for automation.

Key Responsibilities :

- Perform Android application reverse engineering using APK and DEX analysis techniques.

- Analyze Android malware samples to identify malicious behaviors, attack vectors, and threat indicators.

- Conduct threat modeling and security assessments of Android applications and mobile ecosystems.

- Investigate application behavior using automated analysis tools, emulators, and sandbox environments.

- Classify applications based on predefined Standard Operating Procedures (SOPs), security policies, and threat intelligence.

- Research emerging mobile threats, malware trends, and attack techniques affecting Android platforms.

- Develop and maintain automation scripts and tools to streamline malware detection and analysis workflows.

- Collaborate with security, engineering, and product teams to improve mobile security posture.

- Prepare detailed technical reports documenting findings, risk assessments, and remediation recommendations.

Required Skills & Qualifications :

- 3- 8 years of experience in Android malware analysis, mobile security, or related cybersecurity domains.

- Strong experience in Android reverse engineering (APK, DEX analysis).

- Hands-on expertise in malware analysis, threat hunting, and threat modeling.

- Solid understanding of ARM-based architecture and Android platform internals.

- Experience in Android application development using C/C++ and Java.

- Proficiency in analyzing application behavior through automated tools, emulators, and sandboxing environments.

- Strong knowledge of :

1. Security Engineering

2. Computer & Network Security

3. Authentication & Authorization

4. Security Protocols

5. Applied Cryptography

- Experience in scripting and automation, preferably using Python.

- Ability to identify malicious patterns, indicators of compromise (IOCs), and security vulnerabilities.

- Strong analytical, problem-solving, and communication skills.

Preferred Qualifications :

- Experience with mobile threat intelligence platforms and malware analysis frameworks.

- Knowledge of static and dynamic analysis techniques.

- Familiarity with secure coding practices and mobile application security testing.

Educational Qualification :

- Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or a related field.

- Any Graduate with relevant experience may also apply.