Data Engineering- Compromise & Fraud Prevention

Overview

Team Description: Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft's mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers' heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world.

HM Team Description:
Our team focuses on protecting Azure Active Directory and Microsoft Account from various categories of fraud. We build using a variety of technologies such as machine learning and other cutting-edge service technologies in the cloud. Every day, our platform evaluates billions of transactions and petabytes of telemetry in online and offline fashion, blocking fraudulent account creation and usage. Users on Office 365, Xbox, OneDrive, Outlook, Azure, and at millions of enterprise desks around the world rely on us to keep their identities and their data safe from cyber criminals by detecting and blocking the malicious requests. We build new services and extend existing services that perform critical part of the threat detection and deflection process. Security, availability, performance, efficiency and scale are essential for us. We partner with teams across Microsoft to keep users, enterprises and services safe. We are a collaborative, closely-knit team with emphasis on customer empathy and growth mind-set. We are looking for a Software Engineer II who is focused and passionate about making an impact in the fraud and abuse landscape. The rewards make this space very appealing for our adversaries to constantly evolve making this a fast-paced environment with quick iteration cycles and plenty of exploration in new areas.

Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
#MSFTSecurity, #RepMAP, #MicrosoftFraudPrevention, #MicrosoftIdentityProtection

Responsibilities

Responsibilities:
Design and develop large scale distributed software services and solutions.
Designs and maintains assigned data tools that are used to transform, manage, and access data, scaling with efficiency and reduced time to new data insights.
Deliver novel and innovative features for detecting and blocking accounts, applications and other entities indulging in fraudulent activities towards our users and services.
Building and leveraging reputation models for entities.
Opportunity to design and integrate machine learning models in production systems to identify and block abuse patterns to deliver real-time and near-real time protection.
Adhere to and drive modern software engineering practices through design reviews.
System design through well-defined interfaces across multiple components, code reviews, leveraging data/telemetry to make decisions.
Develop "best-in-class" engineering for our services by ensuring that the services and the components are well-defined and modularized, secure, reliable, diagnosable, actively monitored and reusable.
Gain a working understanding of Microsoft businesses and collaborate with mentors and leaders to contribute to cohesive, end-to-end experiences for our users.
Collaborate with teams across Microsoft to deliver customer-facing features.
Focus on customer/partner needs through 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 issues in production and respond to them quickly to mitigate customer impact.
Embody our culture and values

Qualifications

Qualifications - Required: Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or 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 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 requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft background and 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).

Data Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
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This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.