Site Reliability Engineer

Site Reliability Engineering

Overview

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world. 

Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture. 

 

​​Within Azure Data, the databases team builds and maintains Microsoft's operational Database systems. We store and manage data in a structured way to enable multitude of applications across various industries. We are on a journey to enable developer friendly, mission-critical, AI enabled operational Databases across relational, non-relational and OSS offerings.​ 

 

​​Cosmos is Microsoft’s big data analytics SaaS service providing compute and storage capabilities to power mission critical workloads for businesses at Microsoft. It is the central repository where Microsoft teams ingest, store, process, query, and share structured and unstructured data at scale. Cosmos is only available to First party customers and is run as a shared, multi-tenant service optimized for big data analytics. Cosmos is not just a big data platform but a complete ecosystem of tools and solutions that have been developed by the customer community.   

Our team actively uses AI tools including Copilots, internal platforms, and data driven insights to accelerate product discovery, design, validation, and execution. We expect candidates to be comfortable using AI as a core part of how they work. As part of the product development cycle, you will collaborate with stakeholders, design new platform capabilities, validate them with customers iteratively, and help bring them to the world 
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We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served. 

Responsibilities

​​​•Own end‑to‑end delivery of platform features for the Cosmos service, from problem definition through design, implementation, and rollout. •Drive the product strategy and roadmap for key areas of the Cosmos platform you own by leveraging AI. 

•Translate customer business needs into well‑scoped program plans and engineering requirements. 

•Drive capacity planning and Supply chain management for the Cosmos platform. 

•Lead cross‑team execution by coordinating dependencies across engineering, operations, security, and other platform teams. 

•Partner with engineering and live‑site teams to support operational readiness, reliability goals, and service health improvements. 

•Manage the Incident and change management process for the Cosmos environment along with the DRI activities and define and monitor success metrics (e.g., reliability, performance, adoption, cost efficiency) for owned features. 

•Communicate clearly with stakeholders on status, risks, decisions, and trade‑offs and contribute to a strong SRE culture through documentation, design reviews, and knowledge sharing. 

Qualifications

Required Qualifications 

 

​​•Good experience in the software industry, with a degree in computer science or a related technical field OR equivalent experience of 3 years in Site Reliability Engineering role. 

 

•Hands-on experience with LLM APIs (e.g. OpenAI, Anthropic, Azure OpenAI) and tool use.

Microsoft Cloud Background Check: 

• This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. 

 

Preferred Qualifications 

 

​​•Proven experience to drive complex initiatives from concept to delivery.  

 

•Strong communication skills, but also technical skills, including the ability to explain complex technical concepts clearly and to be able to discuss complex technical issues with engineering for resolutions. 

•Good knowledge of Supply chain management and capacity planning. 

•Good understanding of SQL, Kusto, Power BI.  

•Experience with cloud technologies (Paas, Saas, Analytics & AI, DevOps and Networking).  

#azdat 

#azuredata 

​​​​#BigData #Cosmos #Hyperscale​ ​ 

#EiP

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.