Bloom Energy
Staff Cloud Security Engineer
San Jose, California · Staff+ · Full-time
Sponsorship not specified$156k-$224kDetected 73 days ago
AWSAzureCloud PlatformsCI/CDMachine LearningData ScienceMLOpsCybersecurityNetwork SecuritySIEMSOARSOC OperationsDetection EngineeringIncident ResponseZero TrustLeadershipCommunicationCollaborationCISSP
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odds of building a lasting career here
56Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role70
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Context, not a finding about this posting: of this employer's 10 green-card filings in this occupation, 100% were for a worker who already held the job.
Green-card follow-through: 13%
Of 8 labor certifications old enough to have been used, 7 expired without the employer filing the next step. Median time from filing to decision: 495 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.
Files H-1B transfers
17 transfer filings in the last year, covering 17 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- 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.
- This role will report to Senior Manager, Cloud Engineering and based in San Jose, CA.
Responsibilities
- 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
- Define and implement security frameworks for AI/ML systems across the full model lifecycle, including data ingestion, model training, deployment, and monitoring
- Collaborate with AI engineering and data science teams to integrate security controls into MLOps pipelines and AI governance processes
- 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
Requirements
- Collaborative mindset with ability to work effectively across engineering, infrastructure, AI, data, and security teams
- Strong communication skills with the ability to influence technical and business stakeholders
- Bachelor's degree in computer science, Engineering, Information Technology, Cyber security, or related field
- 10+ years of experience in security engineering, cloud security architecture, or cyber security operations
- Strong hands-on expertise with AWS and/or Microsoft Azure security services and cloud -native architectures
- Experience implementing security automation within CI/CD and Infrastructure-as-Code environments
- Experience securing enterprise data platforms and modern cloud -native applications
- Strong knowledge of security frameworks and best practices including NIST, CIS, Zero Trust, and secure SDLC principles
- Experience securing AI/ML platforms, GenAI services, or MLOps pipelines
- Familiarity with AI governance, AI security risks, and emerging regulatory frameworks
Nice to have
- Preferred additional certifications or training in AI security or data privacy/ security domains (e.g., CDPSE, CIPP, AI security certifications)
Compensation
- The total compensation for this position includes standard company benefits and is based on various factors including, but not limited to, relevant skills and experience.
- Salary Ranges:
- $155,800.00 - $224,200.00
Benefits
- Secure AI/ML platforms and services including Amazon SageMaker, Bedrock, Azure Machine Learning, OpenAI APIs, and other enterprise AI tooling
Company info
- At Bloom, we thrive on collaboration, bold thinking, and relentless innovation.
- We are looking for a Staff Cloud Security Enginee r to join our team in one of today's most exciting technologies.
- We are committed to compliance with all applicable laws providing equal employment opportunities.
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This listing is sourced directly from Bloom Energy's careers page and normalized into a canonical job model.