Overview
Microsoft runs on trust, and our trusted cloud was built on the foundational principles of security, privacy, compliance, and transparency.? We're looking for people to help us keep that promise every day. ?Do you have a passion for security and excitement about impacting some of the largest and most complex security challenges Microsoft is involved with? ?Do you want to help us protect Microsoft customers and their data from adversaries? We are looking for a?Security Operations Engineer?to help protect our customers and services from those who try to abuse and misuse our services.? In this role, you will leverage a mix of?data analytics, engineering?skills, on-line services experience, and collaboration skills to help create automated detection and response systems to protect our cloud services from those who try to abuse them.???
As a?Security Operations Engineer?for the Microsoft Centralized Fraud Abuse Risk team (CFAR), you will work closely with other cloud and security experts across Microsoft to investigate abuse of our platform and services.? You will also?work with data science team members to?apply big data analytic skills to proactively identify attack patterns and?automate our?detection and response?capabilities.?You will work to understand how adversaries misuse and abuse our platform and disrupt their activities. ?We work in a DevOps model within the security business, so we are looking for someone who has a passion for?applying data analytics to?scale to millions of users, hosts, and operations. Working as a part of the Centralized Fraud Abuse Risk team (CFAR), you will work to solve issues related to the latest fraud and abuse trends and early warning indicators, as well as help design solutions for emerging threats. CFAR is a fast-paced team that constantly provides new opportunities to learn and grow.??
This is a unique opportunity within Microsoft to work in a dynamic team, taking on complex challenges in the business.? Come and bring your technical?data analytics?acumen, collaboration, and automation skills to help protect our customers!
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
Partner with teams across Microsoft to ideate, implement, and evolve systems and features to combat?fraud.?
Perform investigation on suspected compromised assets and services and analyze log data and other artifacts to?determine?what occurred.?
Apply?big data analytics to?identify?how to detect?adversary attacks and work closely with data science and engineering?teams?to implement?detections at scale.?
Participate in and contribute to:
Cyber threat intelligence sharing forums and platforms
Organizing and curating threat intelligence
Forming macroscopic perspective on adversaries, actors, and campaigns
Qualifications
Required/minimum qualifications
Doctorate in Statistics, Mathematics, Computer Science, or related field OR Master's Degree in Statistics, Mathematics, Computer Science, or related field AND 3+ years experience in software development lifecycle, large-scale computing, threat modeling, cyber security, anomaly detection, Security Operations Center (SOC) detection, threat analytics, security incident and event management (SIEM), information technology (IT), or operations incident response OR Bachelor's Degree in Statistics, Mathematics, Computer Science, or related field AND 4+ years experience in software development lifecycle, large-scale computing, threat modeling, cyber security, anomaly detection, Security Operations Center (SOC) detection, threat analytics, security incident and event management (SIEM), information technology (IT), or operations incident response
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: ??
Doctorate in Statistics, Mathematics, Computer Science, or related field AND 3+ years experience in software development lifecycle, large scale computing, threat modeling, cyber security, or anomaly detection OR Master's Degree in Statistics, Mathematics, Computer Science, or related field AND 6+ years experience in software development lifecycle, large scale computing, threat modeling, cyber security, or anomaly detection
OR Bachelor's Degree in Statistics, Mathematics, Computer Science, or related field AND 8+ years experience in software development lifecycle, large scale computing, threat modeling, cyber security, or anomaly detection
OR equivalent experience. CISSP CISA CISM SANS OSCP Security+ 5+?years of experience?in anti-abuse/anti-fraud/anti-cybercrime space OR in a field that has transferrable hands-on technical skills?such as:?cyber security threat intelligence, security research, etc.?
7+ years of experience in software development lifecycle, large-scale computing, modeling, cyber security, anomaly detection, Security Operations Center (SOC) detection, threat analytics, security incident and event management (SIEM), information technology (IT), and operations incident response??
3+ years of experience in applying big data analytics techniques to solve security problems.?
CISSP, CISA, CISM, SANS, GCIA, GCIH, OSCP, and/or Security+ certification.??
Experience working in large scale cloud products: Azure, Microsoft 365, or similar competitive products in the industry.?
Exposure to security-related subjects and trends such as digital forensics, reverse engineering, penetration testing, and malware analysis.?
Prior experience working with large data sets analytics to answer complex and ambiguous questions using tools and languages like: SQL, KQL/Azure Data Explorer,?Jupyter?Notebook, Spark, R, U-SQL, Azure Synapse, Azure Machine Learning, Azure Data Lake, Python, or?PowerBI.?
Experience in creating and improving process automation and tools/systems/API integration using Python or PowerShell.?
Security #Fraud #Abuse
Security Operations 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. (https://careers.microsoft.com/v2/global/en/accessibility.html)
