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Job Closed

Software Engineer

  • Source: Microsoft
  • Microsoft
  • On-site
  • Bengaluru
  • Mid level

Job 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 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 available to 1P 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. 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

Design, implement, and ship production‑grade features for the Cosmos service (Control Plane, Data Plane, or Compute Platform). Own components or features end‑to‑end: design, implementation, testing, deployment, and operational support. 
• Write high‑quality, maintainable, and performant code following engineering best practices and contribute to system design discussions and propose solutions for scalability, reliability, and fault tolerance. 
• Work with Azure cloud infrastructure and Azure platform services (Fabric, Storage, ACI and Capacity teams) 
• Build and enhance components for globally distributed, multi-tenant cloud services and apply cores distributed system concepts (Partitioning, replication, Fault tolerance, recover, throughout and latency optimization) 
• Participate in code reviews and design reviews to improve quality, security, and maintainability. 
• Investigate service incidents, perform root‑cause analysis, and drive long‑term fixes and contribute to service health metrics, SLIs/SLOs, and reliability improvements. 
• Work closely with other engineers, program managers, and partner teams across Azure and communicate technical designs, progress, and risks clearly to stakeholders.

Embody our culture and values 

Qualifications

• Good experience in the software industry, with a background degree in computer science, software engineering or a related technical field with coding in languages including, but not limited to C++, C#, Java OR equivalent experience and 5+ years of technical experience in SWE role.  
• Hands-on experience with LLM APIs (e.g. OpenAI, Anthropic, Azure OpenAI) and tool use.

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 …

Skills

  • microsoft-azure
  • azure-storage
  • cplusplus
  • c-sharp
  • Java
  • Spark
  • power-bi
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