Overview

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.

Our team focuses on protecting Microsoft Entra and Microsoft Account against a wide range of attack vectors and security threats. We build advanced detection and prevention systems to secure user identities and combat fraud, addressing risks such as malware, phishing, account enumeration, password spraying, bot account creation, and International Revenue Share Fraud (IRSF). We leverage state-of-the-art machine learning, real-time signal pipelines, and AI-driven automation to protect billions of users and help businesses manage identity risks at scale. We are looking for a Software Engineer II - Back End who is passionate about making an impact in cybersecurity and fraud prevention. In this role, you will design and deploy machine learning models, build scalable detection and prevention systems, and collaborate with industry experts to strengthen security across Microsoft’s cloud services. With a global shortage of professionals experienced in cybersecurity, this is an exceptional opportunity to make a real difference. Join us to strengthen defenses against evolving threats while building your career in AI, machine learning, security, and distributed systems. Collaborate with industry experts in an innovative environment, tackle challenges impacting billions globally, and help shape the future of identity security.

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.

Responsibilities

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

Required Qualifications:

Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
2+ years of cloud service experience including, but not limited to Azure, GCP, and AWS 2+ years of experience in data analysis in systems including, but not limited to security data management, logging, or monitoring solutions.
2+ years of experience building software systems, with a focus on large-scale, distributed platforms.
2+ years of experience working with high-scale, mission-critical SaaS products, including service operations.

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 3+ 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 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
3+ years of cloud service experience including, but not limited to Azure, GCP, and AWS
3+ years familiarity with cloud platforms such as Azure, AWS, or GCP. 3+ years of experience building software systems, with a focus on large-scale, distributed platforms.
3+ years’ Experience working with high-scale, mission-critical SaaS products, including service operations. 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.

#MSFTSecurity

Software 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:
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.