Arun Malik
Principal Software Engineer | AI‑Driven Automation & Distributed Systems | Azure Networking & Cloud Infrastructure
- Role
- Principal Software Development Engineer Azure Core Networking at Microsoft
- Location
- Redmond, WA, US
- LinkedIn followers
- 500 followers
About Arun Malik
Experienced software engineer with a master’s degree specializing in distributed systems, cloud security, project management, and technical leadership. Proven track record in orchestrating complex projects, optimizing performance, and leading cross-functional teams. Adaptable with strong problem-solving abilities, making a significant impact across various domains.
Experience
Principal Software Development Engineer Azure Core Networking
Sep 2025 — Present · Redmond, WA, US
Leading the AI transformation for PhyNet, the focus has been on designing and delivering an enterprise-grade AI platform that enables autonomous, production-ready operations. The platform includes an implementation of a Model Context Protocol server to host Azure core networking services, enabling AI agents to safely access operational data and perform actions. This standardized, governed layer ensures secure, consistent, and policy-aware operations across teams and services.The platform supports conversational agents and automated workflows with long-running processes, conditional logic, approvals, parallel execution, and closed-loop remediation. Multi-agent orchestration enables specialized agents to collaborate through intelligent task routing and agent-to-agent communication, solving complex operational challenges such as automated investigations, domain-aware reasoning, and end-to-end workflow execution.Enterprise requirements including authentication, multi-tenant access, scalability, state management, observability, cost controls, and compliance are integrated by design, allowing AI solutions to be deployed confidently in production. Configuration-driven and YAML-based agents empower domain experts, engineers, and program managers to define AI behavior without coding, accelerating iteration and adoption across the organization.Advanced AI tooling, including interactive development environments, visual workflow builders, and live testing, reduces build and deploy cycles, improves feedback loops, and ensures high-quality outcomes. Organization-wide AI workshops and internal hackathons have driven adoption, responsible AI practices, and cross-team innovation, establishing a scalable foundation for autonomous operations and enterprise-grade AI at PhyNet
Education
San José State University
Master's degree, Computer Software Engineering
2013 — 2015
Mahatma Gandhi Mission College of Engineering 2004-2008 (University of Mumbai)
Bachelor of Engineering, Computer Engineering
2004 — 2008
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