Service Engineer II - Ads Platform

Microsoft • Redmond, WA

11h

About The Position

Microsoft Advertising is Microsoft's digital advertising business and platform, connecting advertisers with customers across search, browsing, shopping, gaming, and AI-powered experiences. The Service Engineer II supports the Microsoft Advertising Platform as a technical subject matter expert, partnering with Product, Engineering, and Support to guide global teams, own service KPIs, investigate complex issues, and translate customer evidence into product improvements. The role focuses on timely issue resolution, sustained KPI improvement, reduced repeat escalations, and stronger reliability, quality, and customer outcomes.

The engineer performs deep investigations across the platform, APIs, and customer workflows; builds and owns AI-driven automation and internal tools; writes production-quality code; and improves monitoring, testing, and operational processes. They represent Support in pilots, launch and release-readiness activities, and advocate for customer-focused mitigations when quality risks arise. Employees living within a 50-mile commute of a designated U.S. Microsoft Hub are expected to work from the office at least four days per week, subject to local law and jurisdictional variation.

Requirements

• Bachelor's degree in Computer Science, Information Technology, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Data Science, Cybersecurity, or a related field experience, and 2+ years of technical experience in software engineering, network engineering, service engineering, systems engineering, or industrial controls.
• Ability to meet Microsoft, customer, and/or government security screening requirements, including the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter.

Nice To Haves

• Strong coding skills in at least one general-purpose language: C#, Java, Python, or TypeScript/JavaScript, including writing maintainable, testable code.
• Experience building automation and/or services that integrate with APIs, databases, and distributed systems.
• Hands-on debugging skills using logs, metrics, and traces, and comfort working in a live-site/production environment.
• Daily experience using AI-based coding tools such as GitHub Copilot, ChatGPT, or similar to accelerate development and debugging while validating correctness, security, and performance.
• Domain knowledge or experience in Organic & Paid Search, Display, Native, and Video advertising.
• Proficiency developing tools and automation in C# to improve operational efficiency.
• Experience with customer-facing tier 3 technical support or within a software development organization.
• 6+ years of technical experience working with large-scale cloud or distributed systems.
• Knowledge and experience in two or more of the following areas: data mining, web mining, machine learning, statistics, business intelligence/customer intelligence, user modeling, information retrieval, databases, data warehousing, data processing (ETL), or e-metrics/measurement.
• Familiarity with the example technology stack: C#, Python, TypeScript/JavaScript; REST, authentication/authorization basics, internal web tools; SQL, Kusto (KQL) or similar query languages; Azure, GitHub/Azure DevOps, CI/CD pipelines; and logging, metrics, tracing, and alerting.

Responsibilities

• Investigate complex reliability, performance, and data-quality issues across the Microsoft Advertising platform, APIs, and customer workflows.
• Design, build, and own AI-driven automation, scripts, services, and internal web tools to modernize support workflows, reduce diagnosis time and manual work, and improve operational efficiency.
• Write production-quality code, implement fixes, improve monitoring and alerting, and contribute to shared libraries and tooling through code review and CI/CD practices.
• Turn customer, escalation, and incident evidence into product and engineering plans that address root causes, improve supportability, and reduce recurring issues.
• Create and maintain automated unit, integration, and end-to-end test coverage for key workflows; participate in bug bashes and release-readiness activities.
• Improve operations through monitoring, documentation, playbooks, training, self-service experiences, and post-incident follow-through.
• Represent Support in product pilots, release-readiness reviews, bug bashes, and launches; advocate for mitigation, guardrails, or delays when quality or customer risk is material.
• Design and own agentic, AI-assisted, and automation solutions that accelerate diagnosis, eliminate repetitive work, prevent recurring escalations, and improve efficiency at scale.
• Partner across Product, Engineering, and Support, guide global teams, and own service KPIs.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level