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 usage billing team builds the next-generation data platform for reliable ingestion, aggregation and processing of usage emitted at high volume by Microsoft services and submits to internal Commerce systems for an accurate and timely bill to customers. This is a mission critical service built for scale, compliance and data guarantees also leveraging our world class Azure Data real time messaging, streaming and analytics services to ensure critical billing usage data to flow into revenue for Microsoft.
The IDC team of Azure Usage Billing aka Oro handles critical pillars of service ranging from input, data processing, control plane, and fundamentals like reliability, scale and live-site. As part of this team you will get an opportunity to build the next-gen data processing platform aimed at billing use case which is mission critical for Microsoft.
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.
Required/Minimum Qualifications
- Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years experience in software development, architecture/design, data modeling or data engineering work.
o OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 5+ year(s) experience in software development, architecture/design, data modeling or data engineering work.
o OR equivalent experience.
Other Requirements
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: 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/Additional Qualifications
- Azure service building experience
Experience in building SaaS applications
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form (Accessibility | Microsoft Careers).
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
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#azuredata
As an engineer on the team, you will have the opportunity to work with various Azure technologies to build a massively scalable cloud service. You will design, develop and validate various components needed to build a robust, distributed and resilient platform for Azure Usage Billing. We are looking for full stack engineer who can build from the ground up across the end-to-end system. This includes working on service management, buildout and deployment, programmability, service fundamentals like monitoring, security, performance, engineering systems, tooling and Livesite.β
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