Data Engineering, Compromise and Fraud Prevention
Microsoft
Job Overview
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Job Description
Overview
The Microsoft Security organization is dedicated to making the world a safer place for all by accelerating Microsoft’s mission to secure digital technology platforms, devices, and clouds. We empower every user, customer, and developer with end-to-end, simplified security solutions. Our culture fosters a growth mindset, inspires excellence, and encourages teams to innovate daily, impacting billions of lives globally.
Our team specifically protects Azure Active Directory and Microsoft Account from various forms of fraud. We leverage machine learning and cutting-edge cloud service technologies to evaluate billions of transactions and petabytes of telemetry daily. This online and offline processing blocks fraudulent account creation and usage, safeguarding identities and data for users across Office 365, Xbox, OneDrive, Outlook, Azure, and millions of enterprise desks worldwide. We develop new and extend existing services crucial for threat detection and deflection, prioritizing security, availability, performance, efficiency, and scale. We collaborate closely with teams across Microsoft, driven by customer empathy and a growth mindset. We are seeking a Software Engineer II passionate about making a significant impact in the fast-paced fraud and abuse landscape, where adversaries constantly evolve, demanding quick iteration and continuous exploration of new areas.
Microsoft’s mission is to empower every person and organization to achieve more. We unite with a growth mindset, innovate to empower others, and collaborate to achieve shared goals. Our values of respect, integrity, and accountability cultivate an inclusive culture where everyone can thrive.
#MSFTSecurity, #RepMAP, #MicrosoftFraudPrevention, #MicrosoftIdentityProtection
Responsibilities
- Design and develop large-scale distributed software services and solutions.
- Design and maintain data tools for efficient data transformation, management, and access, enabling scaled data insights.
- Deliver novel features for detecting and blocking fraudulent activities impacting users and services.
- Build and leverage reputation models for various entities.
- Design and integrate machine learning models into production systems for real-time and near-real-time abuse pattern detection and blocking.
- Adhere to and drive modern software engineering practices through design reviews, well-defined interfaces across components, code reviews, and data-driven decision making.
- Develop “best-in-class” engineering for our services, ensuring they are well-defined, modularized, secure, reliable, diagnosable, actively monitored, and reusable.
- Gain a working understanding of Microsoft businesses and collaborate to contribute to cohesive, end-to-end user experiences.
- Collaborate with teams across Microsoft to deliver customer-facing features.
- Focus on customer/partner needs using a data-driven approach.
- Improve test coverage for services, organize and implement integration tests, and resolve problem areas.
- Troubleshoot and optimize automation, reliability, and monitoring for LiveSite.
- Debug production issues and respond quickly to mitigate customer impact.
- Embody Microsoft’s culture and values.
Qualifications - Required
- Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or a related field AND 1+ year(s) experience in business analytics, data science, software development, data modeling, or data engineering OR
- Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or a related field AND 2+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience.
Qualifications - Other Requirements
- Ability to meet Microsoft, customer, and/or government security screening requirements are required for this role. These include, but are not limited to, the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
Additional Or Preferred Qualifications
- Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling, or data engineering OR
- Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 5+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience.
- 1+ year(s) experience with data governance, data compliance and/or data security.
- Knowledge of AI/ML/GenAI data workflows and analytics.
- Exposure to large-scale telemetry, customer health, enterprise data platform/warehouse or business intelligence systems.
- Experience with Microsoft data stack (Azure, Fabric, Synapse, Data Factory, Databricks, Power BI, GenAI, Copilot, Agent).
Key skills/competency
- Data Engineering
- Fraud Prevention
- Machine Learning
- Distributed Systems
- Cloud Technologies (Azure)
- Software Development
- Large Scale Data
- Security Engineering
- Telemetry Analysis
- System Design
How to Get Hired at Microsoft
- Research Microsoft's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Customize your resume to highlight data engineering, fraud prevention, and security-related experience at Microsoft.
- Showcase relevant projects: Prepare to discuss projects involving large-scale data, machine learning, and distributed systems in your application.
- Network effectively: Connect with current Microsoft employees, especially those in data engineering or security teams, on LinkedIn.
- Practice behavioral questions: Prepare examples demonstrating your growth mindset, collaboration skills, and commitment to security.
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