Sr. Software Development Manager

Micro-Star International (MSI™) specializes in the design and manufacturing of motherboards, interface cards, and barebones. In the rapidly changing information technology industry, MSI™ has certainly become a vital link in the chain of leading-edge technology.

MSI™ keeps the principle of "Award-winning product quality and outstanding customer service" in producing its motherboards and add-on cards, and achieves its position as one of the Top 5 motherboard/video card manufacturers in the world.

Job Title: Sr. Software Development Manager

Pay Range: $150,000.00-$200,000.00 Annually 

Location: Fremont, CA,  USA

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. 

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. 
• 8 years of software development experience, with 2 years in a technical leadership or management role. 
• Strong proficiency in Python for backend systems and automation. 
• Experience building scalable backend services, APIs, and distributed systems. 
• Hands-on experience with infrastructure automation (Ansible, Python, Shell). 
• Solid understanding of datacenter infrastructure (compute, networking, storage). 
• Strong problem-solving and debugging skills in complex environments. 

Preferred Qualifications

• Experience building or leading teams developing agentic AI systems or LLM-driven automation. 
• Familiarity with modern AI orchestration frameworks and “vibe coding” environments (rapid prototyping with AI-assisted development tools). 
• Experience with GPU clusters, HPC systems, or rack-scale architectures. 
• Background in diagnostics, system validation, or hardware-software integration. 
• Experience with DevOps practices, CI/CD pipelines, and infrastructure-as-code. 
• Knowledge of networking architectures (spine–leaf, VLANs, routing). 

What Makes This Role Unique

• Opportunity to define and build an AI-first infrastructure platform from the ground up. 
• Direct impact on next-generation datacenter automation and operations. 
• Blend of backend engineering, AI innovation, and real-world infrastructure systems.