Senior Service Engineer - Fraud Detection & Security Engineering

Overview

Microsoft Advertising is the destination for experienced, collaborative, and passionate digital professionals seeking a rewarding career and environment to thrive. We offer a compelling portfolio of products, innovative solutions, and the opportunity to engage with some of the brightest minds in the digital industry. We are the engine that powers the buying and selling of Search, Native, Display and Video advertising across Microsoft’s digital consumer portfolio, empowering advertisers and partners around the world to achieve their paid digital marketing goals on the Microsoft Advertising platform.

The Advertising Support, Trust and Safety (ASTS) team plays a critical role in protecting users, advertisers, and publishers across Microsoft Advertising. We drive platform integrity and ecosystem health through security, traffic quality, and policy enforcement strategies aligned to advertising and publisher standards. People are our greatest asset— we are deeply committed to personal and professional growth, building an inclusive and high-performing team culture, and enabling every individual to do their best work while delivering meaningful business impact.

As a Senior Service Engineer in Advertising Trust and Safety, you will operate as a senior technical contributor within a team of experts responsible for the health, reliability, and security of the Microsoft Advertising ecosystem. You will take ownership of complex, ambiguous problem spaces and drive end-to-end resolution, from deep technical investigation to long-term platform improvements. You will combine service engineering, security, and software development expertise to analyse large-scale data and detect anomalous behaviour across the advertising ecosystem. You will lead complex investigations, including fraud and traffic quality, identifying systemic patterns and driving mitigations that protect advertiser ROI and user safety.

You will also design scalable, production-grade solutions—leveraging automation, tooling, and AI—to improve detection, reduce operational effort, and strengthen platform integrity and resilience

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.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities

• Act as a front-line security gatekeeper for the Microsoft Advertising marketplace, leading advanced forensic investigations into complex fraud, malware, and unsafe advertising or supply practices.

• Identify anomalous trends and systemic patterns across disparate data sources (traffic, campaigns, domains, applications, partner signals), uncovering underlying threat vectors and ecosystem risks.

• Drive mitigation of traffic quality, policy, and security risks, proactively responding to evolving threats and continuously improving detection and investigation methodologies.

• Apply advanced investigative, data analysis, and AI-assisted techniques to connect signals across escalations, enabling end-to-end understanding and resolution of complex issues.

• Capture, analyze, and interpret security and platform events using standard and custom forensic systems, and develop automation and tooling to improve investigation efficiency and scale.

• Lead post-launch investigations and quality reviews for new features and high-risk scenarios, identifying gaps and driving improvements to platform integrity, resiliency, and observability.

• Design and deliver scalable, production-grade mitigation solutions—including services, automation, and AI-driven workflows—in partnership with engineering, business, and operations teams.

• Own resolution of complex technical risk exposure, driving execution through to durable, system-level fixes and platform improvements.

• Act as a technical expert and advisor, influencing stakeholders across engineering and business, sharing knowledge, and helping drive consistent application of security, AI, and engineering best practices.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science, Information Technology, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Data Science, Cybersecurity, or related field AND 7+ years technical experience in software engineering, network engineering, service engineering, systems engineering, or industrial controls.

  • OR equivalent experience.

• 3+ years’ experience of search, display and/or native advertising experience or working in a technical organization, preferably in the online industry for a high-volume commercial website or service.

• 3+ years’ experience in data analysis and use of statistical software, working with large-scale datasets to identify patterns and anomalies.

• 3+ years’ knowledge of ad fraud detection, cybersecurity, or online forensics techniques and tools, with experience investigating and mitigating complex security risks.

• Experience with programming languages such as Python, C#, Java, or R for scripting, automation, and building scalable tools and services.

• Familiarity with machine learning and AI concepts and their application in fraud detection, anomaly detection, and investigation workflows.

• Experience in web technologies (HTML, CSS, JavaScript) and online tracking mechanisms, including cookies, server-side tracking, and modern privacy-aware data signals.

• Excellent problem-solving skills and the ability to think critically in complex, ambiguous scenarios.

• Collaborative and positive team members with the ability to work effectively across technical, security, and business stakeholders.

• Customer-focused, anticipating, resolving, and responding to customer and ecosystem needs.

Preferred Qualifications:

• Must possess solid English language skills (speaking, reading, writing, presenting) and ability to give instructions and directions, document, present, and communicate complex technical issues to both technical experts and non-technical audiences at all levels within organizations.

• Occasional night and weekend on-call work.

#MicrosoftAI

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

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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.