Principal Software Engineer – Infrastructure

We are looking for a Principal Software Engineer to join our Configuration Management team and define the future of enterprise infrastructure automation, configuration management, and operational platforms.

This is a deeply technical, hands-on leadership role; you will architect and build foundational software systems that manage infrastructure consistently across compute, storage, networking, data centers, cloud, and hybrid environments.

Key Responsibilities:

• Define the multi-year technical vision and architecture for IT infrastructure automation, configuration management, orchestration, and self-service platforms.
• Set the technical direction for infrastructure automation and configuration management across technologies such as Ansible Automation Platform, AWX, Salt or equivalent platforms.
• Establish the strategy for applying AI to configuration management, including configuration intelligence, drift and compliance analysis, change-risk identification, root-cause assistance, intelligent recommendations, and guarded automated remediation.
• Remain deeply hands-on by developing prototypes and production software, reviewing critical code and designs, and resolving the most challenging technical and scalability problems.
• Build secure and scalable integrations across infrastructure platforms, cloud services, CMDB, secrets management, observability, and enterprise data systems.
• Set and drive configuration management strategy across networking, storage, and compute domains.
• Ensure platforms meet enterprise requirements for availability, scalability, performance, security, disaster recovery, observability, and operational support.
• Act as a force multiplier by mentoring senior and staff engineers, raising engineering standards, facilitating architectural decisions, and developing technical leaders across teams.
• Partner with engineering and executive leadership to translate critical business challenges into technical strategy, prioritized roadmaps, and measurable business outcomes.

Requirements:

• 15+ years of progressive software engineering experience, with a sustained record of delivering complex, business-critical platforms and distributed systems.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a similar domain, or a Master’s degree or equivalent experience.
• Deep knowledge of enterprise configuration management or infrastructure automation using technologies such as Ansible Automation Platform, AWX, Salt or equivalent platforms.
• Deep hands-on expertise in Go, Python, Java, or a comparable systems programming language, including APIs, concurrency, distributed systems, testing, debugging, and performance engineering.
• Strong hands-on experience in Linux, Kubernetes, containers, cloud and hybrid infrastructure, CI/CD and Infrastructure as Code.
• Strong experience developing and implementing enterprise data and automation pipelines using databricks or comparable large-scale data platforms.
• Proven experience defining, owning, and evolving the architecture of large-scale infrastructure platforms operating across multiple teams, data centers, or cloud environments.
• Demonstrated ability to identify organization-wide business and technical challenges, establish a clear strategy, and drive implementation across teams.
• Outstanding communication and technical leadership skills, with a proven ability to build consensus, influence senior leaders, mentor experienced engineers, and lead through ambiguity.

Nice to Have:

• Experience in architecting, deploying and managing Ansible Automation Platform at enterprise scale.
• Experience developing platforms that manage large global infrastructure fleets across data centers, public clouds, compute, storage, and networking environments.
• A history of leading the development and enterprise-wide adoption of an AI-enabled configuration management, infrastructure automation, or autonomous operations platform.
• Experience using AI to solve infrastructure challenges such as configuration drift, compliance, change-risk analysis, incident diagnosis, capacity management, predictive operations, or automated remediation.

NVIDIA offers highly competitive salaries and a comprehensive benefits package.