Most Loved Workplace® Certified JobService Engineer II
Assessed by Most Loved Workplace®About the Role
At Microsoft, a Most Loved Workplace® certified employer in the Technology space, Empowering every person and organization to achieve more through innovation.
Make Bing Ads Technical Support at Microsoft Advertising part of your career story! Microsoft Advertising helps advertisers connect with customers across search, browsing, shopping, gaming, and AI-powered experiences. It supports search, display, native, video, Connected TV, shopping, and AI-driven Advertising campaigns across Microsoft properties—including Bing, MSN, Outlook, Edge, Microsoft 365, and gaming—as well as partner networks. We’re looking for an innovative Service Engineer II who enjoys building automation and full-stack tools while partnering closely with product engineering to improve reliability, quality, and customer experience on the Microsoft Advertising platform.
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Requirements
- Bachelor’s Degree in Computer Science, Engineering, Information Technology, Data Science, Cybersecurity, or related technical field, or equivalent technical experience.
- 3+ years of technical experience in service engineering, software engineering, systems engineering, technical support, or a comparable engineering environment supporting online services, commercial platforms, or cloud services.
- Experience with Microsoft Advertising, ad tech, search, audience, retail media, display, video, reporting, conversion tracking, trust and safety, fraud, policy, or digital advertising support scenarios preferred.
- Experience designing, building, or improving automation, scripts, diagnostic workflows, dashboards, proactive checks, or alerting solutions that reduce manual effort and improve operational efficiency.
- Proficiency with programming or scripting languages such as Python, C#, JavaScript, PowerShell, Java, or similar languages used for automation, tooling, data analysis, or troubleshooting.
- Experience querying, analyzing, and visualizing large datasets using SQL or equivalent data platforms to identify trends, and generate actionable insights.
- Experience working with cloud, distributed systems, telemetry, monitoring, observability, or service health tooling, preferably in Azure or comparable cloud environments.
- Experience troubleshooting or integrating with modern web and API technologies, including REST, JSON, XML, authentication patterns, and related data exchange or platform integration scenarios.
- Experience using AI-assisted tools, Copilot-style workflows, or emerging automation capabilities to improve triage, investigation, summarization, knowledge discovery, or support productivity.
- Strong written and verbal communication skills, with the ability to explain complex technical issues clearly to technical and non-technical audiences, including customers, partners, engineering teams, and leadership stakeholders.
- Strong documentation and knowledge-management skills, including experience producing troubleshooting guides, diagnostic playbooks, case notes, bug reports, readiness materials, or technical training content.
- Customer-focused, anticipating, resolving, and responding to customer and ecosystem needs.
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