Senior Big Data / Mobile Security Engineer (Telecom Domain)

Job Description

Senior Big Data / Mobile Security Engineer (Telecom Domain) Mobius Wireless Solutions Ltd. | Ashburn, VA | Full-time, On-site
About Mobius Wireless Solutions
Mobius Wireless Solutions Ltd. is a global leader in mobile telecom revenue assurance and fraud management (RA/FM) solutions. Trusted by mobile network operators worldwide, our platform including flagship products Gatekeeper and DataSentry tackles pressing industry challenges such as OTP and SIM Box Bypass, CLI Manipulation, OTT tunneling, and other network fraud. By leveraging AI and advanced Machine Learning, we deliver robust fraud detection, quality of service, and traffic monitoring as a service, creating measurable value and maximizing ROI for our clients.

About the Role
We're hiring a Senior Big Data / Mobile Security Engineer to join our team on-site in Ashburn, VA. In this role, you'll design and build scalable big data solutions that power our fraud and revenue assurance platforms, while also analyzing mobile application behavior particularly around OTP-based authentication to identify bypass vulnerabilities and strengthen telecom revenue and security. You'll work with large-scale telecom datasets to detect anomalies, improve system performance, and partner with cross-functional teams to integrate advanced analytics and Machine Learning into our service offerings.

Key Responsibilities
Design, develop, and maintain scalable big data applications using Apache Spark
Build and optimize data pipelines in Java and Python for large-scale data processing
Analyze mobile application behavior with a focus on OTP workflows, authentication mechanisms, and security controls
Identify signatures in OTP implementations and recommend improvements
Work with telecom datasets for analytics and fraud detection
Perform ingestion, transformation, and processing of structured and unstructured data
Tune Spark jobs for performance, scalability, and reliability
Collaborate with security, network, and product teams to enhance our RA/FM platforms
Apply mobile debugging, network traffic analysis, and reverse engineering tools as needed
Troubleshoot issues, support product implementations, and uphold data engineering and security best practices across the development lifecycle
Required Qualifications
5+ years of experience in big data engineering, mobile security, or a closely related field
Strong hands-on experience with Apache Spark
Proficiency in Java and Python
Experience with distributed data processing and ETL pipeline development
Solid understanding of mobile application behavior and authentication flows, especially OTP systems
Prior experience in the telecommunications domain
Familiarity with telecom technologies such as GSM, LTE/4G, 5G, and messaging systems (SMS/OTP)
Experience handling large-scale telecom data for analytics, monitoring, or fraud detection
Strong grasp of Object-Oriented Programming (OOP) principles and the full software development lifecycle
Bachelor's or Master's degree in Computer Science, Engineering, or a related field
Strong analytical and problem-solving skills, attention to detail, and the ability to thrive in a collaborative team environment
Preferred Qualifications
Experience with big data ecosystems such as Hadoop, Hive, and Kafka
Familiarity with mobile security testing tools, network sniffing, and debugging techniques
Exposure to fraud detection systems or cybersecurity frameworks
Understanding of data modeling and workflow orchestration tools (e.g., Airflow)