Microsoft Senior Software Engineer 

India, Karnataka, Bengaluru 

757390120

a high precision/ high recall operating point.
Senior Software Engineer, FraudThis role is available in(Karnataka) & Noida (UP), India

be responsible fordesigning and building infrastructure to collect real-time fraud detection signals at Internet Scale from various data sources and developing our next generation fraud detection service that scales to Millions of QPS while keeping privacy in mind. You will develop our next generation tools for inference,and anomaly detection. You will keep Security First mind set and design secure-by-design systems.

Required Qualifications:

• Bachelor's Degree in Computer Scienceor related technical field AND 7+ 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 experience with infrastructure design in Fraud, Security or Risk related areas.

• 2+ years of experience with distributed systems, data processing and online service development.

• 2+ years of experience with reliability, and performance optimization.

Preferred Qualifications:

• Experience of infrastructure design in Fraud or Risk related areas.

• experience training Machine Learning (ML) models in production settings is highly desired.

• Strong background in security-first system design and implementation.

Other Requirements:Ability to meet Microsoft, customer and/or government security screening requirements arefor this role. These requirements include but are not limited to the following specialized security screenings:

• This position will berequiredto pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

• Lead the design and development of fraud signal collection and processing services thatoperatein real-time at web scale.Architect and implement next-generation fraud detection services, ensuring scalability and efficiency across various business components.

• Innovate and develop advanced tools for scalable data analysis and anomaly detection, acting as a force multiplier for the team.

• Drive continuous performance optimization and security resilience for all infrastructure components.

• Oversee the training and deployment of production Machine Learning models aimed at combating fraud.

• Champion Microsoft’s culture and values, contributing to a collaborative and inclusive team environment.

• This version highlights the seniority of the role by emphasizing leadership, extensive experience, and advanced responsibilities.