Security Operations Engineering Ic4

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 Responsibilities 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 Partner with other teams across Microsoft to ideate implement and evolve systems and features to combat fraud Qualifications Required Qualifications 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 OR Bachelor s Degree in Statistics Mathematics Computer Science or related field 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 3 years of experience in applying big data analytics techniques to solve security problems 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 7 years of experience in software development lifecycle large-scale computing modeling cyber security and anomaly detection OR Master s Degree in Statistics Mathematics Computer Science or related field 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 Microsoft is an equal opportunity employer All qualified applicants will receive consideration for employment without regard to age ancestry color family or medical care leave gender identity or expression genetic information marital status medical condition national origin physical or mental disability political affiliation protected veteran status race religion sex including pregnancy sexual orientation or any other characteristic protected by applicable laws regulations and ordinances We also consider qualified applicants regardless of criminal histories consistent with legal requirements If you need assistance and or a reasonable accommodation due to a disability during the application or the recruiting process please send a request via the