Software Engineer II - Compromise & Fraud Protection | Microsoft Careers

Microsoft

Quick summary

Work type: On-site
Location: WA
Salary: $102,100–$202,200 / yr
Posted: 2 days ago
Closes: Dec 9, 2026
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $179k

This role $152k

$89k most similar roles pay here $220k

This role pays less than 56% of similar roles. Most pay $149,800–$207,350 — the shaded band above. At the midpoint, this role pays about $152k versus about $179k for comparable roles.

Based on 240 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 1568 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 1397 roles with salary data.

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At a glance

TL;DR · Software Engineer II - Compromise & Fraud Protection | Microsoft Careers

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As a Software Engineer II on the Azure Active Directory and Microsoft Account fraud protection team, you will design and maintain tools that transform and manage vast amounts of transactional data to detect and prevent fraudulent activities. Your daily tasks include building reputation models, integrating machine learning algorithms for real-time threat detection, and collaborating with cross-functional teams to enhance security features. You will adhere to modern software engineering practices, improve test coverage, and troubleshoot production issues to ensure high availability and performance. The role requires expertise in languages like C#, Java, or Python, experience with cloud services such as Azure, and knowledge of data processing frameworks like Spark. This fast-paced environment offers opportunities for innovation and growth within a collaborative team dedicated to safeguarding millions of users worldwide from cyber threats.

Skills

Azure Python Java JavaScript Spark Hadoop CI/CD Kubernetes Docker Prometheus Grafana AWS GCP PostgreSQL Machine_Learning DevOps

What you'll do

Design and maintain data tools for efficient transformation and access to large datasets.
Develop innovative features using machine learning models to detect and block fraudulent activities.
Build reputation models to enhance the detection of abusive patterns in real-time.
Improve test coverage and implement integration tests for services and systems.
Troubleshoot production issues and optimize automation, reliability, and monitoring systems.
Collaborate with cross-functional teams to deliver customer-facing features and solutions.

What we're looking for

4+ years experience in coding with languages like C#, Java, Python.
4+ years of cloud service experience on Azure, GCP, AWS.
Proven ability to work with large-scale distributed platforms and high-scale SaaS products.
Experience in data analysis for security systems, logging, or monitoring solutions.
Knowledge of data processing frameworks such as Spark, Hadoop.
Ability to guide and mentor engineers in project completion.

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