Microsoft Advertising is hiring a Service Engineer II to build automation and full-stack tools, improve reliability, quality, and customer experience on the Microsoft Advertising platform. Responsibilities include deep technical investigations, building AI-driven automation tools, writing production-quality code, root-cause analysis, maintaining automated test coverage, live-site communication, escalation data analysis, and documentation. Requires a Bachelor's degree or equivalent experience, 3+ years in service/software/systems engineering or technical support, proficiency in Python, C#, JavaScript, PowerShell, Java, SQL, experience with cloud and distributed systems (preferably Azure), modern web and API technologies, and AI-assisted tools. Strong communication and documentation skills are essential. Location: Hyderabad, Telangana, India.
What you'll do
Perform deep technical investigations to solve complex reliability, performance, and data-quality issues across Microsoft Advertising platform, APIs, and customer workflows
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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
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
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
