Senior Staff Engineer, Enterprise SaaS Platform and Automation

Details

Overview

NVIDIA is hiring a Senior Staff Engineer, Enterprise SaaS Platform & Automation—a role at the inflection point of how enterprise work gets done. NVIDIA IT sits at ground zero of this transformation, with early access to the latest capabilities from Glean, Slack, Microsoft Copilot, OpenAI Codex, Claude, and emerging agentic systems before they reach the broader market.

This is not a traditional IT role. We are looking for an engineer who sees manual workflows as problems to be automated, builds agentic systems that replace repetitive human work, and wants to own the engineering behind SaaS onboarding, support automation, vendor integration, and employee productivity tooling across platforms like Microsoft 365, Slack, and Glean.

Responsibilities

• Design and build agentic systems that automate the full SaaS application lifecycle—onboarding, provisioning, support triage, offboarding—eliminating manual processes across the IT SaaS portfolio.
• Architect and implement automation and integration solutions across Microsoft 365, Slack, Glean, and other enterprise SaaS platforms; define integration patterns and engineering standards for the team.
• Build AI-powered support automation—intelligent triage, self-healing workflows, proactive issue detection—that reduces human intervention and improves employee experience at scale.
• Engineer vendor integration frameworks that automate data flows, contract triggers, and operational touchpoints between NVIDIA systems and SaaS vendors.
• Develop and deploy MCP-based integrations and AI agent pipelines that surface insights, automate decisions, and enable employees to get more done with less friction.
• Instrument platforms for observability—build dashboards, alerts, and analytics that give the team and leadership real-time visibility into SaaS health, adoption, and cost.
• Partner with security and compliance teams to ensure automated workflows meet enterprise standards; build guardrails into automation rather than bolting them on after.
• Mentor engineers and establish engineering best practices—code reviews, runbooks, testing frameworks—that raise the bar for how the team builds and operates.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or related field (or equivalent experience).
• 8+ years of engineering experience with a track record of building production-grade automation systems, integrations, or platforms at enterprise scale.
• Strong software engineering fundamentals—Python, APIs, event-driven architectures, workflow orchestration—with the instinct to build rather than configure.
• Hands-on experience with AI/ML frameworks, LLMs, or agentic systems; demonstrated ability to apply AI to real operational problems, not just prototype it.
• Deep familiarity with enterprise SaaS platforms (Microsoft 365, Slack, or similar) and the integration patterns, APIs, and data models that underpin them.
• Strong systems thinking—ability to see the full lifecycle of a problem, design durable solutions, and anticipate failure modes before they happen.
• Clear, direct communicator who can translate engineering decisions into business outcomes for non-technical stakeholders.

Ways to stand out from the crowd

• Experience building MCP servers, AI agents, or LLM-powered workflows in production environments.
• Track record of measurably reducing manual IT or operations work through automation—quantify it.
• Experience with SaaS vendor management, contract integrations, or procurement automation.
• Passion for employee productivity—you’ve built tools that real people use every day and you care about the experience.
• Knowledge of enterprise security and compliance requirements for SaaS integrations (OAuth, SCIM, SSO, data residency).