Service Engineer
Content + Source + Freshness • 14 Dec 2025 • 95% confidence
Offer value
An impactful role focused on cloud reliability and customer experience with well-defined expectations and a competitive salary.
- Salary range: $84,200–$165,200/year
- Role emphasizes cloud service reliability and incident management
- Key focus on customer experience and data insights
- Requires solid experience in cloud environments
Pros
- Salary range: $84,200–$165,200/year
- Focus on customer reliability within Azure cloud
- Opportunities to drive innovation in incident management
Cons
- May require high availability and on-call duties
- Intense responsibilities linked to service reliability
- Potentially fast-paced working environment
Who it's for
Mid to Senior Level • Hybrid (3 days in-office)
Good fit
- Cloud operations specialists
- Professionals in data analysis and communication
- Candidates with a strong focus on customer satisfaction
Not recommended for
- New entrants without cloud experience
- Those seeking fully remote roles
- Individuals struggling with high-pressure situations
Motivation fit
Key skills
About the job
Service Engineer
Redmond, Washington, United States
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Overview
Are you passionate about cloud computing, driven by customer experience, and guided by an AI-oriented, data-driven mindset? Do you thrive in high-stakes, live-site environments and want to play a pivotal role in ensuring the reliability of Microsoft’s cloud platform? If so, the Azure Customer Experience (CXP) team is looking for you.
Microsoft Azure is one of the most exciting and strategic products at Microsoft—powering mission-critical workloads for enterprises, governments, and startups around the world. Azure delivers on-demand, hyper-scale infrastructure and platforms via Microsoft's global data centers, enabling customers to build, host, and scale their applications with confidence.
The Customer Reliability Engineering (CRE) team within Azure CXP is a top-level pillar of Azure Engineering responsible for world-class live-site management, customer reliability engagements, modern customer-first experiences for scale, and drives deep customer insights and empathy into the broader Azure Engineering organization. Our “no dead-end’s” philosophy ensures that every customer, regardless of size or scale, can realize their full potential through the Microsoft Cloud
We’re looking for a Service Engineer who blends operational rigor with analytical insight to strengthen the reliability and performance of Microsoft services. This role focuses on turning service telemetry, incident data, and system signals into operational clarity and action. You’ll drive improvements across service health, incident management, and automation, partnering closely with engineering and operations to make data-informed decisions that scale reliability across complex systems.
The ideal candidate brings a balance of technical curiosity, operational discipline, and collaboration skills. You work well under pressure, communicate clearly, coordinating seamlessly with internal stakeholders, and can translate patterns in data into tangible engineering actions.
Every day, our customers stake their business and reputation on cloud. You can help #AzCXP provide our customers with the world-class cloud services they need to succeed. #azcre
Qualifications
Required Qualifications
- Bachelor's Degree or Trade Certification in Computer Science, Information Technology, Mechanical Engineering, Electrical Engineering, Data Science, Cybersecurity, or related field OR equivalent experience.
- Experience in cloud operations, incident response, or problem management
- Proficiency in big data concepts and query writing using Kusto/KQL, data visualization tools (e.g., Power BI), and statistical software (e.g., R, Python).
- Good written and verbal communication skills in English, coupled with sound problem-solving, judgment, and decision-making abilities for high-stakes scenarios
Preferred Qualifications:
- 3+ years of experience in cloud operations, incident response, or problem management.
- Creative problem-solving and analytical mindset
- Experience using AI-powered tools for incident analysis, log correlation, or predictive alerting.
- Relevant certifications in cloud technologies, incident management, or data analytics (preferred).
Service Engineering IC2 - The typical base pay range for this role across the U.S. is USD $84,200 - $165,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $109,000 - $180,400 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
Microsoft will accept applications for the role until November, 20th, 2025.
#AzCXP #azcre #EiP
Responsibilities
- Use metrics to assess operational effectiveness, platform health, and the impact of reliability improvements.
- Analyze customer-impacting signals from telemetry, support cases, and feedback to identify root causes, lead incident reviews (RCAs/PIRs), and drive preventative improvements.
- Analyze incident data to identify recurring themes, patterns, and systemic issues impacting customers.
- Leverage telemetry and customer feedback to generate actionable insights and identify opportunities for proactive service enhancements.
- Develop and promote operational playbooks aligned with incident response and customer-impact scenarios.
- Build and maintain reliable, data-driven dashboards and reports to monitor key performance indicators, system health, and incident trends across Azure services.
- Partner with Azure service teams to share insights, coordinate incident response actions, and ensure customer and operational needs are met.
- Apply data analytics to detect anomalies, uncover root causes, and drive improvements in service reliability and performance.
- Drive continuous improvement by integrating learnings from live site events and customer feedback into service design, monitoring, and incident management frameworks.
- Bring an engineering mindset to data operations—balancing agility, scalability, and technical excellence to solve operational challenges.
- Exhibit strong cross-team collaboration, engineering mindset, and results-oriented execution under pressure
