Software Engineering II at Microsoft

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

20 Mar, 26

Salary

0.0

Posted On

20 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, Data Pipelines, Data Management, Data Transformation, Performance Monitoring, Security Measures, Collaboration, AI Workflows, C, C++, C#, Java, JavaScript, Python, Agile Development, Cloud Systems

Industry

Software Development

Description

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 Microsoft Fabric platform team builds and maintains the operating system and provides customers a unified data stack to run an entire data estate. The platform provides a unified experience, unified governance, enables a unified business model and a unified architecture. 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 Microsoft Fabric platform team builds and maintains the operating system and provides customers a unified data stack to run an entire data estate. The platform provides a unified experience, unified governance, enables a unified business model and a unified architecture. The Fabric Data Analytics, Insights, and Curation team is leading the way at understanding the Microsoft Fabric composite services and empowering our strategic business leaders. We work with very large and fast arriving data and transform it into trustworthy insights. We build and manage pipelines, transformation, platforms, models, and so much more that empowers the Fabric product. As an Engineer on our team your core function will be Software Engineering with opportunities in Analytics, Science, Data Engineering, DEVOps, and Cloud Systems. You will be working alongside other Engineers, Scientists, Product, Architecture, and Visionaries bringing forth the next generation of data democratization products. 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 1. You will develop and maintain data pipelines, including solutions for data collection, management, transformation, and usage, ensuring accurate data ingestion and readiness for downstream analysis, visualization, and AI model training. 2. You will review, design, and implement end-to-end software life cycles, encompassing design, development, CI/CD, service reliability, recoverability, and participation in agile development practices, including on-call rotation 3. You will review and write code to implement performance monitoring protocols across data pipelines, building visualizations and aggregations to monitor pipeline health. You’ll also implement solutions and self-healing processes that minimize points of failure across multiple product features 4. You will plan, implement, and enforce security and access control measures to protect sensitive resources and data 5. You will develop software which makes our data engineers, analysts and scientists more efficient in handling large scale data. 6. You will collaborate with Product Managers, Data and Applied Scientists, Data and Quality Engineers, and other stakeholders to understand data requirements and deliver phased solutions that meet test and quality programs needs, and support AI model training and inference 7. You will work in creating, managing, improving AI based workflows. Embody our culture and values Qualifications Required/Minimum Qualifications Bachelor's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Job Requirements: Other & Additional 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 Master's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 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. #azdat #azuredata #azdat #azuredata #azdat #azuredata #fabricdata #dataintegration #azure #synapse #databases #analytics #science 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.

Responsibilities

You will develop and maintain data pipelines and review, design, and implement end-to-end software life cycles. Additionally, you will collaborate with various stakeholders to understand data requirements and deliver solutions.