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Infrastructure Engineer - DevSecOps

Job in Redwood City, San Mateo County, California, 94061, USA
Listing for: GridCARE
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Cybersecurity, Systems Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Staff Infrastructure Engineer - DevSecOps

About Us

GridCARE is a leading venture-backed startup solving the most critical constraint in AI’s growth trajectory:
immediate access to power. As demand for computing skyrockets, access to energy has become the defining bottleneck in the AI infrastructure race. While leading tech companies invest billions in speculative, long-term solutions that may take decades to arrive, GridCARE’s pioneering physics-based generative AI platform unlocks gigawatts of hidden capacity in today’s electric grid — enabling hyperscalers, data center developers, and utilities to power AI infrastructure years sooner than conventional approaches and without costly upgrades.

Founded at Stanford’s Doerr School of Sustainability and backed by leading climate-tech and deep-tech investors, GridCARE has assembled a world-class team spanning power systems, AI, and infrastructure.

At GridCARE, you will:

⚡ Work at the intersection of AI, energy, and infrastructure — the foundation of the next industrial revolution.

🤝 Partner with hyperscalers, developers, and utilities on high-impact, real-world deployments.

🌎 Help shape a more abundant, efficient, and resilient energy future for the digital era.

🚀 Join a company defining a new category — capacity acceleration for AI.

💰 Receive competitive compensation, equity, and benefits in a fast-growth, mission-driven environment.

Learn more about GridCARE:

  • Tech Crunch:
    GridCARE thinks more than 100 MW of data-center capacity is hiding in the grid
  • Canary Media:
    Oregon utility tries out a faster, cheaper way to power data centers
  • SF Examiner:
    Silicon Valley startup offers AI-powered way to provide power for AI
  • The Washington Post:
    The U.S. may have a secret weapon against rising electricity prices
Job Description

The ideal candidate will be responsible for designing, implementing, and maintaining robust cloud infrastructure with security measures for our B2B SaaS platform, which leverages machine learning models and cloud-native technologies. This role requires deep expertise in cloud security (GCP/AWS/Azure), infrastructure-as-code, and securing complex, data-intensive environments.

Responsibilities
  • Develop and maintain our cloud infrastructure and the infrastructure as code (IaC) tooling to manage it
  • Design, implement, and manage security controls for our cloud infrastructure and CI/CD pipelines.
  • Implement security measures to protect data-in-transit and data-at-rest, particularly sensitive customer data.
  • Collaborate with engineering and ML teams to embed security throughout the development lifecycle.
  • Maintain compliance with industry standards and regulations particularly SOC 2 Type II.
  • Serve as the technical lead for our SOC 2 compliance program, managing automated evidence collection through platforms like Vanta or Drata and remediating infrastructure gaps identified by these tools.
  • Design and evolve the internal SaaS and productivity stack to scale with the company’s growth
  • Mentor junior engineers and contribute to the overall security posture of the organization.
  • Stay engaged with the latest infrastructure and security engineering news, standards, and emerging AI-driven solutions.
Qualifications
Minimum Qualifications
  • Bachelor's degree in Computer Science, Information Security, or a related field, or equivalent practical experience.
  • 7+ years of experience in Infrastructure Security, Dev Ops, or a related field.
  • Extensive experience with at least one major cloud provider (GCP, AWS, or Azure).
  • Proficiency with Infrastructure as Code (IaC) tools such as Terraform.
  • Strong understanding of network security, identity and access management (IAM), and endpoint security.
  • Experience with vulnerability management tools and Security Information and Event Management (SIEM) systems.
  • Experience with container security (Kubernetes).
Preferred Qualifications
  • Experience securing machine learning infrastructure and model deployment pipelines.
  • Relevant industry certifications (e.g., CISSP, SANS GIAC certifications).
  • Experience implementing controls for SOC 2 Type II attestation.
  • Experience improving IT tooling across an organization
  • Proven ability to work with cross-functional teams to drive security initiatives.
  • Proven experience in building and shipping B2B SaaS platforms for startups
What We Offer
  • Competitive salary and equity.
  • Comprehensive benefits package: 401k, healthcare, dental, vision, etc.
  • Hybrid work environment with catered lunches and snacks.
  • The chance to work at the intersection of AI, automation, data systems, and the Power Industry alongside experienced engineers and leading researchers.
  • A mission-driven team focused on shaping the future of the energy transition.

Join us in tackling one of the most important infrastructure challenges of our time — enabling the energy foundation for the age of AI.

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