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What Microsoft hires for Microsoft, one of the five companies in the big-tech collection. Every comparison here is with product companies as a whole, since Microsoft builds and sells its own products. The short answer Microsoft hires in India for the cloud and for AI. Cloud and DevOps engineers are its largest role, at about twice their weight across product companies, because Azure has to be built, run and kept up day and night. GenAI engineers are the second, also at about twice their usual weight, and the fastest growing, as Copilot goes into nearly every product Microsoft sells. Data engineers and security software engineers are both about twice as common here as at a typical product company, and C/C++ systems engineers, who build the layer beneath Azure, are well above their usual weight. Microsoft also hires for its own business software, and developers for the Power Platform appear at several times their usual weight. Java engineers, once a large role, have almost disappeared from its postings during 2026. One habit sets Microsoft's postings apart. Most of them name several languages at once, C#, Java, Python, JavaScript and C++, and describe the role by the work rather than by one language. The door is about as wide as across product companies, with junior openings a little more common than usual and entry-level openings rare. Who gets hired, and why Cloud and DevOps GenAI Data C/C++ systems .NET Security Java backend and full-stack Power Platform Embedded firmware Generalists ML Also present

Cloud and DevOps engineers. Azure is the second-largest cloud in the world, and engineers in Hyderabad and Bengaluru build and run parts of it. Cloud and DevOps engineers here work on cloud-native platforms, on site reliability, the work of keeping a service running and fixing it fast when it fails, and on the servers and networks underneath. These are programming jobs as much as operations jobs. Most cloud postings require Java and Python, Java about twice as often as cloud postings at product companies, many require JavaScript or C/C++, and some require Go, alongside Azure, Kubernetes, Linux and PowerShell. Many also require knowledge of security and of the infrastructure behind AI. This is Microsoft's largest role, about twice its weight across product companies, and an unusually senior one, with more staff-level openings than any other role here.

GenAI engineers. Microsoft is putting Copilot, its AI assistant, into Windows, Microsoft 365, Azure, Dynamics and its developer tools, and GenAI engineers build those features. Most of the work is fitting language models into existing products rather than building new AI products from scratch. The postings require Python above all, with Java, JavaScript and TypeScript for the products around the model, and React for its screens. Some require Azure OpenAI and Azure AI Foundry, Microsoft's services for using and building on language models, with semantic and vector search for finding the right information to give a model. A notable share require Responsible AI, the practice of checking that AI features are safe, fair and explainable, which appears in Microsoft's GenAI postings more than twice as often as in GenAI postings at product companies. GenAI engineers are about twice as common here as at a typical product company, and their share of openings has grown in each quarter since January to March 2026.

Data engineers. Microsoft sells data platforms, Microsoft Fabric, Azure Synapse, Azure Data Factory and Power BI, and it runs some of the largest data pipelines in the world inside its own products. Data engineers here build both. Many postings require Microsoft Fabric itself, with Spark, Kafka and streaming, and most require Python, often with Java or C/C++. Data engineers are about twice their usual weight here.

C/C++ systems engineers. Beneath Azure sits a layer of software close to the hardware, which runs virtual machines, moves packets across networks and stores data on disk. C/C++ systems engineers on Linux build it. The postings require C/C++ with networking, TCP/IP, DHCP and DNS, file systems and device drivers, and a few require Hyper-V, Microsoft's software for running many virtual machines on one server. Some require Rust, which Microsoft is adopting for new systems code because it prevents many kinds of memory errors. This role is well above its usual weight.

.NET engineers. .NET is Microsoft's own platform, so it is perhaps surprising that .NET engineers appear here at only about their usual weight. One likely reason is that C# appears in most Microsoft postings, whatever the role, so much of Microsoft's .NET work sits under other roles. The postings for this role require C# with Azure, React, Angular and TypeScript, and many also require Java and Python. A good share require experience of building with language models. .NET's share of openings rose during 2026.

Software Engineer, Security. Software engineers who specialise in security: they build login systems, cloud and network protections, and the checks that keep code safe. Microsoft sells security products, Defender, Sentinel and Entra among them, and has to protect its own cloud. Security software engineers here are about twice their usual weight, and most are application security engineers, who find and fix weaknesses in code. The postings require C/C++ and Java with cryptography, and many require Prisma Cloud, a tool for checking that cloud systems are set up safely, and some require OpenTelemetry for tracing what a service does. This is among the most senior roles at Microsoft.

Java backend and full-stack engineers. Java engineers build services behind Microsoft's products, with Spring Cloud, Azure Service Bus and Azure. Nearly every Java posting at Microsoft also requires C#, most also require Python and JavaScript, and many require experience of building with language models. Java is below its usual weight here, and its share of openings has fallen steeply through 2026, to very little by July to September.

Power Platform and business application developers. Microsoft builds the Power Platform, Power Apps for building simple business apps and Power Automate for automating tasks, and it sells Dynamics, its software for a company's finance, operations and sales. Developers for the Power Platform appear at several times their weight across product companies. The postings require C#, Java and JavaScript with Azure, Dataverse, the Power Platform's own database, and Power Apps and Power Automate. Developers for the business applications, at about their usual weight, require C#, Java and JavaScript with Azure and Power BI. Power Platform jobs fill unusually quickly.

Embedded firmware engineers. Microsoft designs hardware, from the boards and chips inside Azure's servers to its Surface computers and Xbox consoles, and that hardware needs firmware, the software that runs directly on a chip. Embedded engineers write it in C/C++ with device drivers and the standard connections between chips and devices, I2C, SPI, PCIe and USB. Some postings require Secure Boot, which checks that a machine starts only trusted software, and some require ONNX or TFLite for running AI models on a device. Embedded engineers are a little below their usual weight, but their share of openings grew through 2026.

Generalist software engineers. A group of postings describe general development work rather than one stack. Most of them require C#, Java, Python and JavaScript together, often with C/C++, and a few require WPF, Microsoft's framework for Windows desktop applications. Others describe backend work in any language. Together they are above their usual weight.

ML engineers. A small group of ML engineers train and adapt models, mostly for language. The postings require Python with PyTorch and Transformers, and a few require CUDA, NVIDIA's platform for running models on graphics chips. They are above their usual weight and among the roles most open to juniors here.

Also present. Frontend engineers build Microsoft's web screens in React and TypeScript, with accessibility, making screens usable by people with disabilities, a recurring requirement. They are well below their usual weight. Mobile engineers work on Android and iOS, a little below their usual weight. Full-stack engineers and Go backend engineers appear in small numbers, well below their usual weight. A few SAP engineers work on Microsoft's own SAP systems, some integration developers connect them to other systems, and a handful of chip designers work in FPGA and SystemVerilog. Test engineers are a small fraction of their usual weight.

Rare here. Python backend engineers, JavaScript and Node full-stack engineers, and Salesforce and ServiceNow engineers barely appear.

The skills that set Microsoft apart Several languages at onceMost postings in most roles name C#, Java, Python and JavaScript together, and many add C/C++. Nearly every Java posting requires C#. Azure everywhereAzure appears in the cloud, data, Java, GenAI, .NET and C/C++ postings, usually with Azure DevOps and Azure Service Bus. Microsoft's own AI toolsAzure OpenAI, Azure AI Foundry, semantic and vector search, and Responsible AI, in the GenAI postings. Microsoft's own data platformMicrosoft Fabric, Azure Synapse, Azure Data Factory and Power BI, in the data postings. Systems code in RustRust beside C/C++, in the C/C++ systems postings and in a few embedded and chip postings. The Power PlatformPower Apps, Power Automate and Dataverse, in the Power Platform postings. What is changing

These readings follow the record quarter by quarter, from October to December 2025, the third quarter of the financial year 2025-26, to July to September 2026, the second quarter of 2026-27. A longer record will show whether they last.

Microsoft's hiring peaked early and has fallen sinceIt posted little in October to December 2025, much the most in January to March 2026, and less in each quarter after that, so that July to September 2026 was well below its peak. Product companies as a whole peaked a quarter later, in April to June 2026, and roughly halved their openings between April to June and July to September 2026. Microsoft's slowdown began sooner and has gone further. Java fell awayJava's share of openings dropped steeply after January to March 2026, from one of the largest roles to one of the smallest. GenAI grew in every quarterGenAI engineers took a larger share of openings in each quarter after January to March 2026, and by July to September 2026 they were close to cloud and DevOps as the largest role. AI work was a larger part of Microsoft's hiring than of product companies' in every quarter, though product companies narrowed the gap in July to September 2026. Cloud held upCloud and DevOps engineers took a steady share from January to June 2026 and a larger one in July to September 2026, while hiring as a whole fell. .NET and embedded grewBoth took a larger share of openings from April 2026 than in January to March 2026. Hiring turned more seniorIn October to December 2025, when Microsoft posted little, a large part of what it did post was for juniors. From April 2026, senior and staff openings made up the larger part of its hiring.
Persistently open roles

Microsoft keeps somewhat fewer jobs open again and again than product companies do. Most of its jobs are posted once and filled.

Java, mobile and business application jobs stay open more often than usual. Cloud jobs and C/C++ systems jobs stay open about as often as at product companies. GenAI, data, .NET, security, frontend and Power Platform jobs fill faster than the same roles at product companies. AI jobs are posted again about as often as other jobs here. Staff-level jobs stay open longest. They are posted again far more often than mid-level and junior jobs. The skills found most often in persistently open jobs are PowerShell, Kubernetes and Linux, the Azure data tools Data Factory, Synapse and Service Bus, OpenTelemetry, Angular and Rust. How long they stay open. When a job is posted again, its first and last postings are typically about three weeks apart, and rarely more than about two months.
Where the work is

Microsoft hires in three Indian cities. Hyderabad, home of the India Development Center, its largest engineering centre outside the United States, is the first, and Bengaluru is close behind. Delhi NCR, through Microsoft's office in Noida, is a distant third.

The roles sort by city. Hyderabad leads for cloud and DevOps, security, Java, mobile and the generalist software engineers, and holds all of the SAP work. Bengaluru leads for .NET, embedded firmware and ML work. GenAI, data, C/C++ systems and frontend engineers are split almost evenly between the two. Delhi NCR is unusually strong for Java, mobile and ML engineers.

Microsoft also posts a handful of jobs under the name Microsoft Innovation Center. They are counted here with the rest of Microsoft.

The door

Microsoft's door is about as wide as the product industry's. Mid-level, senior and staff openings come in about the usual proportions, junior openings are a little more common than across product companies, and entry-level openings are rare. A fresher's way in is Microsoft's campus hiring, not these postings.

ML engineers and frontend engineers take juniors most readily in proportion, followed by the Power Platform, cloud and DevOps, data and .NET. In number, most junior openings are in cloud and DevOps, because that is where the volume is, followed by GenAI and data. Security, mobile and embedded roles are hired almost entirely with experience, and cloud and DevOps has the most staff-level openings.
In one line If you build or run cloud platforms, write AI features into real products, or build data platforms, and you are comfortable in more than one language, Microsoft is one of the largest employers for that work in India; if you are a Java specialist, it has been hiring far fewer of you. Terms used on this page Azure Microsoft's cloud, which rents computing, storage and ready-made services over the internet. Site reliability The work of keeping an online service running, and restoring it quickly when it fails. Copilot Microsoft's AI assistant, built into most of its products. Azure OpenAI and Azure AI Foundry Microsoft's services for using OpenAI's language models on Azure, and for building AI applications on them. Responsible AI The practice of checking that AI features are safe, fair, private and explainable before they ship. Microsoft Fabric, Azure Synapse and Azure Data Factory Microsoft's products for storing, moving and analysing a company's data. Power BI Microsoft's tool for business reports and dashboards. Power Platform, Power Apps, Power Automate and Dataverse Microsoft's low-code tools for building simple business apps and automating tasks, and the database beneath them. Dynamics Microsoft's business software for a company's finance, operations and sales. Hyper-V Microsoft's software for running many virtual machines on one physical server. Defender, Sentinel and Entra Microsoft's security products, for protecting computers, watching for attacks, and managing who may sign in to what. Prisma Cloud A tool that checks whether cloud systems are set up safely. I2C, SPI, PCIe and USB Standard ways for chips and devices to connect to one another. Secure Boot A check that lets a computer start only software that has been signed as trusted. ONNX and TFLite Formats and tools for running AI models on devices. WPF Microsoft's framework for building Windows desktop applications. CUDA NVIDIA's platform for running computations, including AI models, on graphics chips. SAP The largest packaged system for running a company's orders, stock, purchasing and accounts.
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This page reads the openings. The story of the companies is on Microsoft.

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