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Director, Enterprise IT Infrastructure

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: QuantumScape
Full Time position
Listed on 2026-06-19
Job specializations:
  • IT/Tech
    Systems Engineer, Cybersecurity, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 200000 - 250000 USD Yearly USD 200000.00 250000.00 YEAR
Job Description & How to Apply Below

Quantum Scape is on a mission to transform energy storage with solid-state lithium-metal battery technology. The company’s next-generation batteries are designed to enable greater energy density, faster charging and enhanced safety to support the transition away from legacy energy sources toward a lower carbon future.

About the team

As Director of Enterprise IT Infrastructure, you will build the technology foundation that lets our scientists, engineers, and operators move faster. You will have executive sponsorship, a meaningful budget, and the autonomy to modernize a real-world hybrid environment that spans corporate, R&D, and manufacturing. If you want your infrastructure work to ladder up to something larger than itself - the electrification of transportation - we'd like to talk.

What

we need

Quantum Scape is seeking a hands‑on, execution‑focused Director of Enterprise IT Infrastructure to architect, scale, and secure the technology backbone that powers our mission to revolutionize energy storage. You will own the strategy and day‑to‑day operations of our enterprise infrastructure - cloud platforms, networks, identity, endpoints, and the systems that connect our R&D labs, pilot manufacturing lines, and corporate offices. This is a builder's role for a leader who wants to modernize a hybrid cloud/on‑prem footprint, drive automation, and partner directly with the scientists and engineers shaping the future of solid-state batteries.

What

you’ll work on
  • Cloud platforms (GCP, Azure) - Compute Engine, GKE, Cloud Storage, IAM, VPC, hybrid connectivity.
  • Enterprise networking - multi‑site LAN/WAN, Wi‑Fi, SD‑WAN, Palo Alto firewalls, network segmentation, and zero‑trust access.
  • Identity and endpoint - SSO/MFA, MDM, EDR, Threat Locker, device lifecycle for office, lab, and shop‑floor users.
  • Collaboration and productivity
    - Google Workspace, MS 365, JIRA, Manage Engine, and the tools R&D and engineering live in every day.
  • Lab and manufacturing IT - instrumentation networks, OT/IT integration, and infrastructure that supports pilot lines moving toward commercial production.
  • Automation and observability - infrastructure‑as‑code, monitoring, alerting, and SRE practices that move the team from reactive to proactive.
What you’ll do
  • Own the strategy, roadmap, and day‑to‑day operations of Quantum Scape’s enterprise infrastructure - cloud (GCP, Azure), networking, identity, endpoints, collaboration, and on‑prem systems - aligning multi-year investment to business growth.
  • Lead a cloud-first modernization across compute, storage, networking, and Kubernetes (GKE), while operating a resilient, segmented enterprise network (LAN/WAN, Wi‑Fi, SD‑WAN, Palo Alto, zero‑trust) spanning offices, R&D labs, and pilot manufacturing.
  • Partner with Info Sec to govern identity, endpoint, and zero‑trust controls (SSO/MFA, MDM/EDR, Threat Locker), and ensure compliance with data protection, export control, and BC/DR requirements.
  • Establish infrastructure‑as‑code, observability, and SRE practices that raise uptime, cut MTTR, and turn operations from reactive to proactive.
  • Champion the responsible adoption of AI across IT - AIOps, ticket deflection, anomaly detection, capacity forecasting, and self‑service - to materially raise team productivity and end‑user experience.
  • Drive an AI-driven infrastructure operating model: use agentic workflows to continuously validate configurations, detect drift, enforce policy‑as‑code, and self‑heal systems so the estate stays correct, compliant, and secure by default.
  • Partner with Info Sec, Legal, and the business to set guardrails, data‑handling standards, and acceptable‑use policies for enterprise AI (copilots, agentic workflows, LLM automation), and safely scale them to the workforce.
  • Partner closely with R&D, engineering, and manufacturing operations to deliver infrastructure that scales with lab instrumentation, OT/IT convergence, and the move from pilot to commercial production.
  • Run IT service delivery end‑to‑end - helpdesk, endpoint lifecycle, collaboration (Google Workspace, MS 365), and network operations - against measurable SLAs (uptime, MTTR, change success rate, ticket experience), with strong vendor,…
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