Service Engineer II - Ads Platform
About The Position
Microsoft Advertising is seeking a Service Engineer II to support its digital advertising platform. The role combines technical investigation, software development, automation, and customer-focused service engineering. The engineer will partner with Product, Engineering, and Support, serve as a subject matter expert, guide global teams, own service KPIs, resolve complex issues, and translate customer evidence into product improvements that strengthen reliability, quality, and customer outcomes. The position focuses on timely issue resolution, sustained KPI improvement, and turning product gaps and customer friction into actionable plans that reduce repeat escalations. Employees who live within a 50-mile commute of a designated Microsoft Hub in the U.S. are expected to work in the office at least four days per week, subject to local law and jurisdictional variation. The role requires passing Microsoft’s Cloud Background Check upon hire or transfer and every two years thereafter.
Requirements
- Bachelor's degree in Computer Science, Information Technology, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Data Science, Cybersecurity, or a related field, or related field experience.
- At least 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 integrating with APIs, databases, and distributed systems.
- Hands-on debugging skills using logs, metrics, and traces, and comfort working in a live-site or production environment.
- Daily experience using AI-based coding tools such as GitHub Copilot or ChatGPT to accelerate development and debugging while validating correctness, security, and performance.
- Domain knowledge or experience in Organic and 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.
- Six or more years of technical experience working with large-scale cloud or distributed systems.
- Knowledge and experience in at least two of the following: 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.
- Experience with technologies that may include C#, Python, TypeScript/JavaScript, REST, authentication/authorization, internal web tools, SQL, Kusto (KQL) or similar query languages, Azure, GitHub/Azure DevOps, CI/CD pipelines, logging, metrics, tracing, and alerting.
Responsibilities
- Investigate and resolve complex reliability, performance, and data-quality issues across the advertising platform, APIs, and customer workflows.
- Design, build, and own AI-driven automation, scripts, services, and internal web tools to modernize support workflows and improve operational efficiency.
- Write production-quality code, implement fixes, improve monitoring and alerting, and contribute to shared libraries and tooling using code review and CI/CD practices.
- Turn customer, escalation, and incident evidence into product and engineering action 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 mitigations, guardrails, or delays when quality or customer risk is material.
- Design and own agentic, AI-assisted, and automation solutions to 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
