Overview
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.
As a Service Engineer II, you will blend deep technical investigation with hands-on software development, often leveraging the latest AI-assisted development tools. You’ll build and maintain automation tools, diagnose complex issues across services and APIs, and partner with engineering teams to land fixes in production. The right candidate enjoys debugging distributed systems, writing clean, testable code, and iterating quickly based on data and customer impact.
In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
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.
Responsibilities
Perform deep technical investigations to solve complex reliability, performance, and data-quality issues across Microsoft Advertising platform, APIs, and customer workflows.
Design, build, and own AI-driven automation (scripts, services, and internal web tools) on an intelligent platform to modernize support workflows, with the goal of reducing time-to-diagnose, eliminating manual work, and improving operational efficiency at scale.
Write production-quality code; implement fixes, create monitoring/alerting improvements, and contribute to shared libraries and tooling via standard code review and CI/CD practices.
Drive root-cause analysis and post-incident follow-through (action items, automation, and engineering changes) in partnership with multiple Engineering teams.
Create and maintain automated test coverage (unit/integration/end-to-end) for key workflows; participate in bug bashes and release readiness activities.
Communicate clearly during live-site events: compose timely service alerts, share investigation status, and provide actionable guidance to stakeholders.
Analyze escalation data and trends to develop clear problem statements, propose engineering solutions, and influence product roadmaps to reduce escalations and product friction, ultimately increasing revenue.
Document knowledge base articles and build self-serve troubleshooting experiences for Tier 1/Tier 2 teams; mentor others on tools and debugging techniques.
Qualifications
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
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Анонимная аналитика
Мы используем анонимную аналитику, чтобы улучшать поиск вакансий и работу сайта.