8 days ago
Hyderābād, IndiaSenior
Responsibilities
- Lead advanced forensic investigations into fraud, malware, unsafe advertising, and other security or traffic-quality risks.
- Analyze traffic, campaigns, domains, applications, partner signals, and other data sources to identify anomalous trends and systemic threat patterns.
- Drive mitigations for traffic-quality, policy, and security risks while improving detection and investigation methodologies.
- Use data analysis and AI-assisted techniques to connect signals across escalations and resolve complex issues end to end.
- Capture, analyze, and interpret security and platform events using forensic systems.
- Develop automation, tooling, services, and AI-driven workflows to improve investigation efficiency and scale.
- Conduct post-launch investigations and quality reviews for new features and high-risk scenarios.
- Own complex technical risk resolution through durable platform fixes and resilience improvements.
- Advise and influence engineering, business, and operations stakeholders on security, AI, and engineering practices.
Requirements
- Bachelor’s degree in computer science, information technology, mechanical engineering, electrical engineering, aerospace engineering, data science, cybersecurity, or a related field, or equivalent experience.
- 7+ years of technical experience in software engineering, network engineering, service engineering, systems engineering, or industrial controls.
- 3+ years of experience with search, display, or native advertising, or in a technical organization, preferably involving a high-volume commercial website or service.
- 3+ years of experience analyzing data and using statistical software with large-scale datasets to identify patterns and anomalies.
- 3+ years of knowledge of ad fraud detection, cybersecurity, or online forensics techniques and tools, including investigation and mitigation of complex security risks.
- Experience with Python, C#, Java, or R for scripting, automation, and building scalable tools and services.
- Familiarity with machine learning and AI concepts and their use in fraud detection, anomaly detection, and investigation workflows.
- Experience with HTML, CSS, JavaScript, online tracking mechanisms, cookies, server-side tracking, and privacy-aware data signals.
- Strong problem-solving, critical-thinking, collaboration, communication, and customer-focus skills.
- Solid English speaking, reading, writing, presenting, documentation, and instruction skills are preferred.
- Availability for occasional night and weekend on-call work is preferred.
Benefits
- Microsoft describes a growth-oriented, inclusive, and collaborative work environment with opportunities for personal and professional development.
- Employees within 50 miles of a designated U.S. Microsoft office or 25 miles of a non-U.S. country-specific location are expected to work from the office at least four days per week starting January 26, 2026, subject to local law and jurisdiction.
- Occasional night and weekend on-call work may be required.
Tech Stack
Categories
About Microsoft
Microsoft develops operating systems, productivity software, cloud services, developer tools, and consumer devices for individuals, enterprises, and governments. Its main products include Windows, Microsoft 365, Azure, Visual Studio/GitHub, Xbox, and LinkedIn; revenue comes from software subscriptions and licenses, cloud consumption, hardware sales, and advertising. Founded in 1975 and headquartered in Redmond, Washington, Microsoft is a public company traded on Nasdaq.