Software Engineer – CoreAI Developer Platforms | Microsoft

Location: Multiple Locations, India | Work Mode: Hybrid (3 days/week in-office) | Job ID: 200011746 | Posted Date: July 20, 2026

Job Description

Company & Division Overview

Microsoft’s CoreAI division designs and operates planet-scale developer platforms embedded with enterprise trust, security, and reliability. We build the tools that empower millions of developers worldwide to bring their ideas to life—from code management and CI/CD with Azure DevOps, to application testing via Azure App Testing, to modern PaaS environments including Azure App Service, Container Apps, Functions, API Management, and Logic Apps.

Role Summary:

As a Software Engineer within the Developer Platforms team, you will design, build, and operate core platform services spanning the entire application lifecycle. You will engineer Azure- and Foundry-native integrations with partner technologies (such as MongoDB, Elastic, and Datadog) while embedding AI into developer workflows as a foundational building block.

Key Responsibilities:

• Architect, implement, deploy, and maintain AI-powered cloud services end-to-end across the full DevOps lifecycle.
• Build cloud-to-edge capabilities, including Azure resource providers, data-plane integrations, and management portals.
• Develop AI-enabled engineering tools to optimize testing efficiency, quality analysis, incident triage, and developer productivity.
• Apply telemetry, metrics, and customer feedback to guide platform evolution while upholding live-site availability.
• Incorporate Responsible AI, security, compliance, and privacy practices as first-class engineering requirements.

Required Qualifications:

• Education: Bachelor’s or Master’s degree in Computer Science, or equivalent practical experience.
• Experience: 1–3 years of hands-on experience building production software using C#, C++, Go, Java, or Python.
• Fundamentals: Strong grip on computer science fundamentals, data structures, algorithm design, and systematic problem-solving.

Preferred Qualifications:

• Familiarity with containerization and orchestration platforms, specifically Docker and Kubernetes.
• Experience operating in Linux environments or working with open-source communities.
• Hands-on experience with cloud infrastructure (Azure, AWS, or equivalent) and Site Reliability Engineering (SRE) practices.
• Exposure to AI-assisted software development, data-driven engineering workflows, and Azure resource provider extensibility.

Job details made easy by trendtoday360

Position: Early-Career Platform Engineer – CoreAI & Developer Ecosystems
Core Technology Focus: Azure PaaS, Kubernetes, C#/.NET/Python/Go, AI-Driven SRE & CI/CD
Strategic Objective: Building Planet-Scale AI Developer Infrastructure

✅ Job Summary and Focus:

This role at Microsoft CoreAI is designed for a Distributed Systems & Platform Engineer. The primary technical focus is Infrastructure Extensibility—building the connective tissue between frontier AI models and everyday cloud execution environments like Azure Container Apps and Azure Functions. You will not simply write application code; you will construct the underlying Azure Resource Providers and data planes that process telemetry, automate incident triage, and allow global enterprise developers to deploy AI workloads with built-in security and reliability.

[Image structure recommendation: A platform architecture diagram illustrating Developer CI/CD Input, Azure Resource Provider Layer, AI-Native SRE/Triage Engines, and Azure PaaS Execution Clusters]

📌 Key ATS Resume Keywords:

Software Engineer, Microsoft, CoreAI, Azure DevOps, Azure PaaS, Container Apps, Azure Functions, Azure Resource Provider, C#, Go, Python, Docker, Kubernetes, SRE, Distributed Systems, CI/CD, Developer Platforms, Hybrid Work, India Tech Jobs.

💰 Compensation and Tech Ecosystem Insights:

Microsoft offers an competitive early-career compensation package, including stock grants (RSUs), performance bonuses, comprehensive health coverage, and access to internal upskilling resources.

In the context of the Indian Cloud Engineering & Platform Development workforce for 2026:

• The “AI-Native DevOps” Demand: In 2026, tech organizations are rapidly replacing legacy CI/CD pipelines with **AI-integrated SRE workflows**. Software engineers with 1–3 years of experience who understand both platform engineering and applied AI tooling are seeing strong demand across global India Development Centers (IDCs).
• Hybrid Work Models: The 3-day/week in-office model remains the prevailing standard across Tier-1 tech campuses in Bengaluru, Hyderabad, and NCR, balancing hands-on team collaboration with deep-work flexibility.
• Gender and Inclusivity in India Tech: Based on 2025–2026 workforce data for Tier-1 technology centers in India, women represent approximately 28% of early-to-mid career software engineering roles, with leading global firms actively supporting structured career advancement tracks.

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