
Senior Azure ACE Engineer - Sovereign Cloud
at Microsoft
Posted 7 hours ago
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- Compensation
- Not specified
- City
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- Country
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Currency: Not specified
Responsible for owning the customer’s Azure support experience for strategic Sovereign Cloud accounts, you will drive incident resolution and root-cause analysis with minimal oversight. You will guide customers through designing configurations and deploying Azure-based solutions, while mapping issues back to product teams to drive improvements. You will serve as the voice of the customer, collaborating with Customer Success Account Managers, Cloud Solution Architects, and Engineering to ensure a world-class, engineering-led support experience focused on reliability and customer satisfaction. This role emphasizes customer obsession, technical depth in Azure, and the ability to operate in high-security, regulated environments.
Responsibilities
Qualifications
- Bachelor's Degree Engineering, Computer Science, Information Technology (IT), Data Analytics/Science, Artificial Intelligence (AI), or related field AND relevant experience in technology industry, cloud, technical support, and/or customer experience engineering
- OR equivalent experience.
- Demonstrated experience supporting and troubleshooting enterprise level, mission-critical applications and infrastructure resolving complex issues/situations and driving technical resolution across cross-functional organizations.
- Familiarity with operating in regulated or restricted‑access environments, such as sovereign cloud, high‑security, or compliance‑driven workloads is an advantage.
- Experience with being on-call and driving mitigation for mission critical incidents.
- Demonstrated hands-on experience with expertise in one or more of the following Cloud technologies:
- Core IaaS: Compute (Windows/Linux), Storage, Networking, Kubernetes, High Availability
- Data Platform and Bigdata: Azure SQL DB, Cosmos DB, PostgreSQL on Azure, Azure Data Bricks, Azure Data Factory, AI/ML
- Azure PaaS Services: App Services, Azure Functions, Redis Cache, and Event Hub.
- Monitoring technologies: Azure Monitor, Log Analytics, Grafana, Datadog, Confluent and similar technologies.
- Communication skills: ability to empathize with customers and convey confidence. Able to explain highly technical issues to varied audiences. Able to prioritize and advocate customer’s needs to the proper channels. Take ownership and work towards a resolution.
- Customer Obsession: Passion for customers and focus on delivering the right customer experience.
- Growth Mindset: Openness and ability to learn new skills and technologies in a fast-paced environment.
- AI / ML Engineering: Azure Machine Learning, AI Services, model deployment/inference
- MLOps, data preparation, feature engineering, model monitoring
- Experience debugging ML pipelines, GPUs, dependency issues, or data drift
- Azure Monitor, Log Analytics, Grafana, Datadog, Confluent
- Strong proficiency with Kusto Query Language (KQL)
- PowerShell, Python, C#, or other automation/scripting languages, Ability to build tooling, automation workflows, or intelligent diagnostics,
- Experience integrating data, telemetry, or AI models into engineering workflows.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

