Senior Software Engineering

We are the Central Fraud and Abuse Risk (CFAR) team powered by innovation and risk intelligence. We leverage security, compliance, Artificial Intelligence for IT Operations (AIOps), Development, Security, and Operations (DevSecOps) domain expertise, troves of labeled data, and talented engineers to deliver resilient Artificial Intelligence (AI)-first services that set the standard for the industry. We build, buy, and integrate the best and the latest cloud technologies and datasets to deliver a flexible, scalable platform that amplifies both automated and human decision-making. Our team embraces collaboration and the understanding that experimentation (failing fast) drives innovation. In our daily work, we demonstrate growth mindset, respect, accountability, connectedness, integrity, and agility. We are a diverse and inclusive group of individuals with big hearts, small egos, and a drive to protect others through technology.  

We’re seeking a forwardthinking Senior Software Engineer to lead the design and delivery of scalable, AI-native cloud applications and microservices using custom and foundation models. You’ll apply AIOps to drive intelligent observability, anomaly detection, and auto-remediation across distributed systems, powering real-time decisioning and platform resilience. You’ll support Agentic AI systems that reason, adapt, and act with goal-driven autonomy and multi-step tool use.  

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.  

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Responsibilities

Responsibilities 

• Build and ship scalable, Artificial Intelligence (AI)-native cloud applications and microservices using foundation models, Retrieval-Augmented Generation (RAG), and autonomous agents. Mentor engineers in AI-first development. 

• Architect Agentic Artificial Intelligence (Agentic AI) systems with goal-driven behavior, multi-step reasoning, and tool-use capabilities. 

• Integrate Model Context Protocol (MCP) servers to expose internal tools and Application Programming Interfaces (APIs) to Large Language Models (LLMs) via JavaScript Object Notation - Remote Procedure Call (JSON-RPC), enabling seamless agent interaction across platforms like Copilot Studio and Azure Artificial Intelligence Foundry (Azure AI Foundry). 

• Apply Artificial Intelligence for IT Operations (AIOps) for intelligent observability, anomaly detection, and auto-remediation across distributed systems. 

• Build and ship the next generation of highly scalable, cloud-native applications and large-scale distributed microservices while mentoring other team members. 

• Ensure the highest standards of security and quality in all aspects of our work, from design to deployment. 

• Bring software engineering habits and produce high-quality code that is unit tested, code reviewed, and checked in regularly for Continuous Integration (CI). 

• Collaborate with colleagues including product owners, User Experience (UX) designers, Artificial Intelligence/Machine Learning (AI/ML) Engineers/Researchers, data scientists, and other engineers to create delightful and meaningful experiences for our customers. 

• Provide hands-on technical leadership: architecture, design, code reviews, development, Quality Assurance (QA), and live site support for mission-critical services to