Senior Software Engineer

Overview

Microsoft Digital(MSD) builds and manages the critical products and services that Microsoft runs on. We boldly pursue big ideas that power transformational advances at Microsoft and for our customers, while helping Microsoft teams work smarter, faster, and more securely every day. Microsoft Digital employees have deep technical and business expertise, customer insights, and a clear point of view that comes from first-hand, large-scale experience with Microsoft and industry solutions. We are engineers, technology leaders and experts, digital transformation change agents, and customer advocates.   We have exciting opportunities for you to innovate, influence, transform, inspire, and grow within our organization and we encourage you to apply to learn more!

The Microsoft Infrastructure Engineering Services (IES) organization is transforming how critical business processes are delivered through next generation AI and agentic solutions. We are looking for a passionate Software Engineer to help design, build, and scale intelligent systems that automate complex workflows, improve employee experiences, and unlock productivity across Microsoft.

In this role, you will work at the intersection of software engineering, artificial intelligence, and enterprise business transformation. You will partner closely with product managers, data scientists, architects, and business stakeholders to build cutting edge agentic solutions that can reason, plan, and take actions across enterprise systems.

This is a unique opportunity to shape the future of how AI powered agents accelerate business outcomes at one of the world's largest enterprises.

Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

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Responsibilities

• You will architect, design, and develop large-scale AI-powered software platforms that improve operational efficiency, service reliability, and engineering productivity.
• You will build intelligent software solutions leveraging Large Language Models (LLMs), agentic systems, orchestration frameworks, and enterprise data platforms to solve complex business and operational challenges.
• You will design and implement scalable distributed systems, cloud-native services, APIs, MCPs,microservices, and event-driven architectures operating at enterprise scale.
• You will develop AIOps capabilities including operational intelligence, anomaly detection, workflow automation, troubleshooting assistance, and automated remediation solutions.
• You will build intelligent agents that automate business processes, employee experience, operations, compliance, procurement support, and knowledge management workflows.
• You will create secure integrations with Microsoft and third-party services, enterprise systems, APIs, event platforms, and workflow solutions.
• You will design agent orchestration services, execution frameworks, memory systems, observability tooling, and quality measurement capabilities that enable reliable AI-powered solutions.
• You will partner with cross-functional teams to identify high-value automation opportunities and translate business requirements into scalable technical solutions.
• You will drive engineering excellence through architecture reviews, code reviews, automated testing, continuous integration, operational good practices, and reliability engineering.
• You will partner with security, compliance, and governance teams to ensure AI-powered solutions meet enterprise standards and Responsible AI principles.
• You will mentor engineers, contribute to technical leadership, architecture discussions, and strategic technology direction across the organization.
  
  

Qualifications

Required Qualifications:

• 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.
• Experience building distributed systems, microservices, APIs, event-driven architectures, and cloud-native applications.
• Experience developing AI-powered software platforms using Large Language Models (LLMs), RAG,Agentic AI frameworks, and orchestration technologies.
• Experience designing and implementing intelligent agents, multi-agent workflows, agent orchestration patterns, tool integrations, and automated business processes.
• Experience with Azure AI technologies such as Azure OpenAI, Azure AI Foundry, Semantic Kernel, Microsoft 365 Copilot, Copilot Studio, or equivalent AI platforms.
• Good understanding of software architecture, reliability engineering, observability, security, and operational excellence.
• Proven ability to lead technical design discussions and deliver complex end-to-end solutions.
  

Preferred Qualifications

• Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
• Understanding of Responsible AI, compliance, privacy, governance, and enterprise security requirements.
• Experience designing agent evaluation, observability, quality measurement, and reliability frameworks for AI-powered solutions.
• Experience working with networking, infrastructure, telemetry, or large-scale operational systems.
• Experience building enterprise-scale AIOps, operational intelligence, monitoring and observability.
  
  

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.