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Staff Cloud Security Engineer

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: Bloom Energy
Full Time position
Listed on 2026-08-08
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, Cybersecurity, Information Security & Data Protection
Salary/Wage Range or Industry Benchmark: 156000 - 224000 USD Yearly USD 156000.00 224000.00 YEAR
Job Description & How to Apply Below
Staff Cloud Security Engineer Skip to main content## This website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies.# Bloom Energy Careers Staff Cloud Security Engineer page is loaded## Staff Cloud Security Engineer Apply locations:
San Jose, California time type:
Full time posted on:
Posted Yesterday job requisition :
JR-22966

At Bloom Energy, our vision for a world powered by clean, reliable, and affordable energy is more than just a dream—we’re making it reality.

For over two decades, we’ve been at the forefront of the global energy transition, pioneering solutions that empower critical industries to thrive in a rapidly digitizing, energy-intensive world. From revolutionizing power for AI-driven data centers to ensuring resilience for hospitals, electric grids, manufacturing facilities, and utilities, our solid oxide fuel cell (SOFC) and solid oxide electrolyzer (SOEC) technologies are redefining what’s possible by delivering energy abundance for all.

With more than 30,000 fuel cell modules deployed worldwide, we are the trusted partner for Fortune 100 companies and innovators alike. Our cutting-edge solutions enable unparalleled “time-to-power” capabilities, reliability, and sustainability, ensuring our customers remain ahead in a world where soaring energy demand and intensifying energy scarcity are rapidly becoming the new norm.

At Bloom, we thrive on collaboration, bold thinking, and relentless innovation. We believe that, together, we can create a brighter, more sustainable future while tackling the most pressing challenges of the 21st century.

We are looking for a
** Staff*
* ** Cloud Security Enginee
** r to join our team in one of today’s most exciting technologies.  This role will report to
** Senior Manager, Cloud Engineering
** and based in
** San Jose, CA**.  This is a fully on-site, in office role 5 days a week.
** Cloud Security Engineering
*** Design, implement, automate, and maintain security architectures, controls, and processes across AWS and Microsoft Azure environments
* Develop and maintain cloud security reference architectures, patterns, and guardrails aligned with industry best practices and Bloom Energy security standards
* Build and operationalize security baseline controls integrated into CI/CD pipelines and Infrastructure-as-Code deployments
* Implement policy-as-code and automated compliance validation across cloud environments
* Review and approve security-sensitive infrastructure and application changes, including IAM policies, network security controls, secrets management, and cloud-native services
* Serve as the cloud security subject matter expert supporting enterprise cloud transformation initiatives across IaaS, PaaS, and SaaS platforms
** AI & Machine Learning Security
*** Define and implement security frameworks for AI/ML systems across the full model lifecycle, including data ingestion, model training, deployment, and monitoring
* Assess and mitigate emerging AI security risks such as adversarial attacks, prompt injection, model theft, model inversion, and data poisoning
* Secure AI/ML platforms and services including Amazon Sage Maker, Bedrock, Azure Machine Learning, OpenAI APIs, and other enterprise AI tooling
* Collaborate with AI engineering and data science teams to integrate security controls into MLOps pipelines and AI governance processes
* Monitor evolving AI regulations, standards, and frameworks including NIST AI RMF and global AI governance initiatives, translating them into actionable controls and engineering practices
** Data Security
*** Implement and manage Data Security Posture Management (DSPM) capabilities to identify and reduce sensitive data exposure across cloud environments
* Design and enforce controls for structured and unstructured data platforms including databases, data lakes, warehouses, object storage, and analytics platforms such as AWS S3.
* Drive adoption of data-centric security controls including encryption, tokenization, data classification, retention, and access governance
* Partner with application and analytics teams to embed secure data handling practices into engineering workflows
**…
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