Software Development Manager

Job Summary

We are looking for an experienced Software Development Manager to lead backend engineering and agentic AI initiatives for Rack Navigator — MSI’s next-generation platform for autonomous datacenter operations.

This role combines hands-on technical leadership with team management, focused on building scalable backend systems and intelligent agents that automate infrastructure provisioning, diagnostics, and lifecycle management. You will lead a team of engineers developing AI-driven workflows that interact with real-world datacenter systems at rack scale.

Key Responsibilities

Technical Leadership & Architecture

• Lead the design and development of backend services, APIs, and microservices powering Rack Navigator.
• Define architecture for agentic AI systems that orchestrate infrastructure workflows (provisioning, validation, diagnostics, remediation).
• Drive design decisions for scalability, reliability, and performance across distributed infrastructure systems.
• Establish best practices for system design, observability, and fault tolerance.

Agentic AI & Infrastructure Automation

• Oversee development of AI-driven agents that interact with infrastructure control planes, telemetry systems, and hardware APIs.
• Guide the implementation of automation for rack-scale diagnostics, health monitoring, and failure analysis.
• Ensure seamless integration between AI workflows and datacenter infrastructure (compute, storage, networking).

Team Leadership & Execution

• Build, mentor, and manage a high-performing backend engineering team.
• Drive sprint planning, execution, and delivery of key platform capabilities.
• Set clear goals, provide technical direction, and foster a culture of ownership and innovation.
• Balance hands-on coding/reviews with strategic leadership responsibilities.

Platform & Engineering Excellence

• Establish coding standards, testing frameworks, and CI/CD practices.
• Drive development of reusable libraries and internal platforms for infrastructure lifecycle automation.
• Ensure high-quality, maintainable, and well-documented code.

Cross-functional Collaboration

• Partner with infrastructure, hardware, production, and AI teams to deliver end-to-end solutions.
• Align engineering efforts with product and business goals.
• Support production deployments and continuous improvement of datacenter operations.