Senior Service Engineer

Microsoft•Redmond, WA

About The Position

The Cloud & AI organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. Microsoft is one of the largest enterprise service companies in the world. Are you passionate about securing the next wave of enterprise innovation, where low‑code platforms and AI agents redefine productivity, and do you bring a telemetry‑driven, operational mindset to complex environments? Do you thrive in high‑stakes scenarios and want to play a pivotal role in safeguarding Microsoft while enabling friction‑free adoption of emerging technologies? If so, the Emerging Security Assurance (ESA) team in Microsoft’s CISO organization is looking for you. We’re seeking a Service Engineer who blends operational rigor with analytical insight to turn service telemetry, incident data, and system signals into operational clarity and action. In this role, you’ll drive improvements across service health, incident management, and automation, partnering closely with engineering and operations to make data‑informed decisions that scale security and reliability for low‑code ecosystems and AI/agentic workloads. The ideal candidate balances technical curiosity, operational discipline, and collaboration skills. You communicate clearly under pressure, coordinate seamlessly with stakeholders, and translate patterns in data into tangible engineering actions. Familiarity with Microsoft engineering fundamentals and compliance guardrails will help you hit the ground running. 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. 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.

Requirements

Bachelor's Degree in Computer Science, Information Technology, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Data Science, Cybersecurity, or related field AND 3+ years technical experience in software engineering, network engineering, service engineering, systems engineering, or industrial controls OR equivalent experience.
Ability to meet Microsoft, customer, and/or government security screening requirements: Microsoft Cloud Background Check: Required upon hire.
Export Control Compliance: Proof of citizenship or protected status may be required for access to export-controlled information.

Nice To Haves

2+ years technical experience in service engineering, systems engineering, or cloud operations.
1+ years experience managing and improving enterprise services, including production system support.
Experience working with scalable resources in Azure.
Proficiency in: Azure deployment and integration, proficiency in SQL and CosmosDB, Power Platform and automation frameworks, vulnerability triage, data analysis and visualization using Kusto/KQL, Power BI, and scripting languages (e.g., PowerShell and Python). Strong troubleshooting skills across multiple platforms (Windows, Linux, mobile OS) and ability to resolve complex service issues. Excellent written and verbal communication skills, with sound judgment and decision-making abilities for high-stakes scenarios.
Familiarity with low-code ecosystems (Power Platform, Fabric) and AI/agentic workloads.
Experience with incident response, problem management, and operational telemetry analysis.
Knowledge of security and compliance frameworks (e.g., SDL, NIST AI RMF) and ability to apply them in service operations.
Ability to collaborate across engineering and security teams to drive automation and reliability improvements.