# Senior Manager, Software Engineering - Agentic IT Operations

**Company**: NVIDIA
**Location**: Santa Clara, CA
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Manager--Software-Engineering---Agentic-IT-Operations_JR2023714?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_70e40418-44a

## Description

We are seeking a hands-on technical leader to build and lead a high-performance engineering organisation that architects, delivers, and operates production-grade software systems at global scale.

You will be responsible for transforming enterprise IT operations from manual, reactive workflows into fully automated, AI-driven platforms that scale with NVIDIA’s hyper-growth.

**Responsibilities:**

- Architect and ship agentic AI systems using LLM-based agents, tool calling, RAG, and orchestration frameworks delivering production-grade AI-assisted operations across enterprise IT domains including employee support, endpoint services, and IT support operations.

- Design and deploy autonomous AI agents that execute complex, multi-step enterprise workflows end-to-end coordinating approvals, vendor handoffs, cross-system data reconciliation, and exception handling with human-in-the-loop controls delivering measurable improvements in availability, cycle time, cost, and compliance.

- Engineer robust integration and automation platforms spanning ServiceNow, ERP and procurement systems, endpoint-management platforms, Own the full stack infrastructure, data pipelines, APIs, and user-facing applications.

- Set the engineering standard through hands-on technical leadership co-authoring production code, conducting rigorous code reviews, and personally driving system design for the most critical components.

- Recruit, develop, and retain top-tier engineering talent. Build a high-performing team culture grounded in engineering excellence, ownership, and continuous delivery.

- Define and execute a multi-quarter technical roadmap for automation and agentic operations across enterprise IT, with each initiative tied to quantifiable business outcomes (cost reduction, throughput, SLA improvement, headcount avoidance).

- Drive disciplined execution,project prioritization, milestone tracking, capacity planning, and on-time delivery,while maintaining engineering velocity in a fast-moving environment.

- Own talent strategy for the team, including hiring pipelines, performance calibration, and career development that builds a deep bench of engineering leaders.

**Requirements:**

- Bachelor's or Master's degree in a related field, or equivalent experience

- 10+ overall years of hands-on software engineering experience, with deep expertise in at least one of: Infrastructure, SRE, DevOps, or Production Engineering. 5+ years leading engineering teams, with direct experience hiring, growing, and managing IT engineers.

- Demonstrated ability to build engineering teams from zero and scale them in a high-growth, high-ambiguity environment.

- Deep expertise in designing and shipping production software systems,including integrations, automation platforms, and data pipelines,for complex enterprise operations at scale.

- Track record of modernizing enterprise IT operations platforms (e.g., asset management, endpoint services, IT supply chain, infrastructure operations) and deploying agentic AI into production,including multi-step autonomous execution, human-in-the-loop safeguards, exception handling, and governance frameworks with measurable business outcomes.

- Production-grade proficiency with infrastructure-as-code, CI/CD, containerization (Kubernetes), and cloud platforms (AWS, GCP, or Azure).

- Experience with monitoring and observability tools (Prometheus, Grafana, Datadog, PagerDuty, or similar).

- Fluent in Python, Go, or equivalent languages,able to architect, write, and review production-quality code, not just scripts.

- Executive-level communication skills with the ability to influence technical direction across engineering, product, and senior leadership.

- Proven ability to translate complex technical capabilities into quantifiable business value and present to VP/C-level audiences.

## Skills

### Required
- Infrastructure
- SRE
- DevOps
- Production Engineering
- LLM-based agents
- tool calling
- RAG
- orchestration frameworks
- ServiceNow
- ERP
- procurement systems
- endpoint-management platforms
- Kubernetes
- AWS
- GCP
- Azure
- Python
- Go

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Manager--Software-Engineering---Agentic-IT-Operations_JR2023714?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)