Senior Software Engineer-Compromise & Fraud Prevention

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.

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. As a part of this role as a Senior Software Engineer, you will work with the Microsoft Security organization. Our team focuses on protecting Azure Active Directory and Microsoft Account from various categories of compromise & 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 account compromise, 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 Senior Software Engineer who is focused and passionate about making an impact in the compromise, 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.

* Design and develop large scale distributed software services and solutions.

* Deliver novel and innovative features for detecting and blocking accounts, applications and other entities indulging in fraudulent activities towards our users and services.

* 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. * Collaborate with teams across Microsoft to deliver customer-facing features.

* Improve test coverage for services, organize and implement integration tests, and resolve problem areas.

* Troubleshoot and optimize automation, reliability and monitoring for LiveSite. Coding and Debugging Writes efficient, readable, extensible code from scratch that spans multiple features/solutions. Develops technical expertise in proper modeling, coding, and/or debugging techniques such as locating, isolating, and resolving errors and/or defects. Understands the causes of common defects and uses best practices in preventing them from occurring. Collaborates with other teams and leverages best practices from those teams into work of their own team. Leverages technical proficiency of big-data software engineering concepts, such as Hadoop Ecosystem, Apache Spark, continuous integration and continuous delivery (CI/CD), Docker, Delta Lake, MLflow, AML, and representational state transfer (REST) application programming interface (API) consumption/development. Customer/Partner Orientation Applies a customer-oriented focus by understanding customer needs and perspectives, validating customer perspectives, and focusing on broader customer organization/context. Promotes and ensures customer adoption by delivering model solutions and supporting relationships. Data Preparation and Understanding Acquires data necessary for successful completion of the project plan. Proactively detects changes and communicates to senior leads. Develops useable data sets for modeling purposes. Evaluating for Insight and Impact Understands relationship between selected models and business objectives. Ensures clear linkage between selected models and desired business objectives. Assesses the degree to which models meet business objectives. Defines and designs feedback and evaluation methods. Modeling and Statistical Analysis Leverages knowledge of machine learning solutions (e.g., classification, regression, clustering, forecasting, NLP, image recognition, etc.) and individual algorithms (e.g., linear and logistic regression, k-means, gradient boosting, autoregressive integrated moving average [ARIMA], recurrent neutral networks [RNN], long short-term memory [LSTM] networks) to identify the best approach to complete objectives. Understands modeling techniques (e.g., dimensionality reduction, cross validation, regularization, encoding, assembling, activation functions) and selects the correct approach to prepare data, train and optimize the model, and evaluate the output for statistical and business significance. Understands the risks of data leakage, the bias/variance tradeoff, methodological limitations, etc. Writes all necessary scripts in the appropriate language: T-SQL, U-SQL, KQL, Python, R, etc. Constructs hypotheses, designs controlled experiments, analyzes results using statistical tests, and communicates findings to business stakeholders.

Required Qualifications:

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

OR equivalent experience

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 Cloud background check upon hire/transfer and every two years thereafter

Preferred Qualifications:

• Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. OR Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
• 5+ years of cloud service experience including, but not limited to Azure, GCP, and AWS 5+ years familiarity with cloud platforms such as Azure, AWS, or GCP.
• 5+ years of experience building software systems, with a focus on large-scale, distributed platforms.
• 5+ years' Experience working with high-scale, mission-critical SaaS products, including service operations.
• Proven ability to guide and mentor engineers, leading their projects to completion.
• Knowledge of data processing frameworks such as Spark, Hadoop, or similar technologies.
• Experience with security data management, logging, or monitoring solutions.

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

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.