Engineering Manager - Agentic AI & SaaS

Job Title: Engineering Manager (Agentic AI & SaaS) About the team The Nutanix Core Security engineering team focuses on building secure hybrid cloud platforms. This team is responsible for developing customer facing security functionalities and core platform security services. We own multiple areas that help to improve product security postures and values on AOS (NCI) and Prism Central (PC) Platforms. It has been great working closely with both internal X-functional teams and external solution partners in solving complex product security issues.  We work closely with PM team to align our security features with NIST Cybersecurity Framework. Learn more about Nutanix . What the Team Says We are not short of new technologies in our tech stack viz., Kubernetes, Cassandra, GoLang, Backbone JS, React, Playwright etc. We use AI tools for development and testing and are exploring new AI security features. We are not too big of a team in size, but tackling some of the biggest challenges around security in our product. We follow the Agile model while running bi-weekly sprints and weekly scrums. We are a group that is always enthusiastic to learn, adjusts plans from learnings and delivers product features with great quality. Last, but never the least, we love to have fun and truly strive to uphold Nutanix culture and beliefs.

Summary We are seeking a hands-on, people-first Engineering Manager to lead, coach, and grow a cross-functional squad of Software Developers and QA Engineers. As a first-line manager, you will bridge the gap between technical execution and career development while driving daily engineering excellence. You will balance direct people management with active technical contribution—participating in architectural designs, personally contributing to feature development, and designing system-level AI workflows. You will guide the team from basic LLM integration to advanced, production-grade Agentic AI architectures, utilizing modern tools like the Model Context Protocol (MCP) to solve complex business problems. Roles and Responsibilities Team Leadership & People Management Empower & Grow: Lead a dedicated squad of developers and QA engineers, establishing a culture of psychological safety, high performance, and continuous technical growth. Direct Talent Pipeline: Own the complete talent lifecycle for your direct reports, including technical coaching, regular performance evaluations, and personalized career path planning. Agentic Upskilling: Upskill the team in modern AI engineering workflows, helping engineers responsibly integrate AI-assisted coding tools while leading by example in architectural planning and task decomposition. Product, Technical & Feature Development Collaborative Roadmap: Partner with Support, and Customer Success to translate business goals into clear, actionable technical roadmaps. Hands-on Feature Delivery: Actively participate in core feature development and code contributions alongside the team, leading by example to maintain delivery velocity and high code quality. Agentic Architecture: Design and deploy resilient, scalable, production-grade AI applications using specialized AI agents and multi-agent orchestration patterns (e.g., LangGraph, CrewAI, or AutoGen). Context Engineering & Integration: Implement Model Context Protocol (MCP) servers to standardise secure, dynamic tool calling and real-time context management between your agent fleets and external enterprise data/infrastructure. Pragmatic Problem Solving: Dive deep into code and infrastructure to troubleshoot production incidents, manage technical debt, and stand up evaluation harnesses to prevent agent drift. Engineering & Release Excellence Agile Execution: Establish software development best practices and