Join Microsoft Advertising and contribute to the future of digital connections! We are seeking a proactive Service Engineer II to enhance the Microsoft Advertising platform. This role involves developing automation, building full-stack tools, and collaborating with engineering teams to elevate reliability, quality, and the overall customer experience.

Leverage cutting-edge AI-assisted development tools to tackle complex technical challenges. You will be instrumental in creating and maintaining automation, diagnosing intricate issues across services, and partnering with engineering to implement solutions. If you thrive on debugging distributed systems, writing high-quality code, and driving improvements based on data, this is the role for you.

Microsoft is dedicated to fostering an inclusive culture where all employees can thrive, innovate, and achieve shared goals. We are committed to empowering every person and organization on the planet.

Dive deep into technical investigations to resolve complex issues related to reliability, performance, and data quality across the Microsoft Advertising platform and APIs.

Design, build, and manage AI-driven automation, including scripts, services, and internal web tools, to modernize support workflows, reduce diagnostic time, and enhance operational efficiency.

Write production-quality code, implement fixes, improve monitoring and alerting systems, and contribute to shared libraries and tooling through standard code review and CI/CD processes.

Lead root-cause analysis and ensure follow-through on post-incident actions, automation development, and engineering changes in collaboration with various Engineering teams.

Develop and maintain automated test coverage for critical workflows, and participate in bug bashes and release readiness activities.

Communicate effectively during live-site events, issuing timely alerts, providing investigation status updates, and offering actionable guidance to stakeholders.

Analyze escalation data to identify trends, formulate problem statements, propose engineering solutions, and influence product roadmaps to reduce escalations and enhance revenue.

Create documentation and self-serve troubleshooting resources for support teams, and mentor colleagues on tools and debugging techniques.

A Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, Cybersecurity, or a related technical field, or equivalent practical experience is required.

Possess at least 3 years of technical experience in service engineering, software engineering, systems engineering, technical support, or a similar engineering capacity supporting online services or cloud platforms.

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 is highly preferred.

Demonstrated experience in designing, building, or improving automation, scripts, diagnostic workflows, dashboards, proactive checks, or alerting solutions to reduce manual effort and boost operational efficiency.

Proficiency in programming or scripting languages such as Python, C#, JavaScript, PowerShell, Java, or similar languages essential for automation, tooling, data analysis, or troubleshooting.

Experience querying, analyzing, and visualizing large datasets using SQL or comparable data platforms to uncover trends and derive actionable insights.

Familiarity with cloud environments, distributed systems, telemetry, monitoring, observability, or service health tooling, ideally within Azure or similar cloud platforms.

Experience troubleshooting or integrating with modern web and API technologies, including REST, JSON, XML, authentication patterns, and related platform integration scenarios.

Experience utilizing AI-assisted tools, Copilot-style workflows, or emerging automation capabilities to enhance triage, investigation, summarization, knowledge discovery, or support productivity.

Strong written and verbal communication skills, with the ability to articulate complex technical issues clearly to both technical and non-technical audiences, including customers, partners, engineering teams, and leadership.

Excellent documentation and knowledge management skills, including experience creating troubleshooting guides, diagnostic playbooks, case notes, bug reports, readiness materials, or technical training content.

A customer-focused approach, with the ability to anticipate, resolve, and respond effectively to customer and ecosystem needs.