Staff Cloud Security Engineer

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.

CloudSecurityEngineering

• Design, implement, automate, and maintainsecurityarchitectures, controls, and processes across AWS and Microsoft Azure environments

• Develop and maintaincloudsecurityreference architectures, patterns, and guardrails aligned with industry best practices and Bloom Energysecuritystandards

• Build and operationalizesecuritybaseline controls integrated into CI/CD pipelines and Infrastructure-as-Code deployments

• Implement policy-as-code and automated compliance validation acrosscloudenvironments

• Review and approvesecurity-sensitive infrastructure and application changes, including IAM policies, networksecuritycontrols, secrets management, andcloud-native services

• Serve as thecloudsecuritysubject matter expert supporting enterprisecloudtransformation initiatives across IaaS, PaaS, and SaaS platforms

AI & Machine LearningSecurity

• Define and implementsecurityframeworks for AI/ML systems across the full model lifecycle, including data ingestion, model training, deployment, and monitoring

• Assess and mitigate emerging AIsecurityrisks such as adversarial attacks, prompt injection, model theft, model inversion, and data poisoning

• Secure AI/ML platforms and services including Amazon SageMaker, Bedrock, Azure Machine Learning, OpenAI APIs, and other enterprise AI tooling

• Collaborate with AI engineering and data science teams to integratesecuritycontrols 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

DataSecurity

• Implement and manage DataSecurityPosture Management (DSPM) capabilities to identify and reduce sensitive data exposure acrosscloudenvironments

• 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-centricsecuritycontrols including encryption, tokenization, data classification, retention, and access governance

• Partner with application and analytics teams to embed secure data handling practices into engineering workflows

SecurityArchitecture & Leadership

• Provide deep technical expertise acrosscloud, AI, infrastructure, identity, and applicationsecuritydomains

• Leadsecurityassessments and threat modeling exercises forcloudservices, AI/ML platforms, enterprise applications, and emerging technologies

• Enable secure innovation by partnering with engineering teams early in the design and development lifecycle

• Support incident response, investigation, and remediation activities related tocloud, AI, and datasecurityevents

• Collaborate closely with Information and OTSecurity, Infrastructure, Product Engineering, and Enterprise Architecture teams to drive secure technology adoption across the organization

• Contribute to the development ofsecuritystandards, policies, and operational procedures aligned with business and regulatory requirements

What You Bring

Mindset

• Self-starter with strong ownership mentality and ability to manage multiple priorities in a dynamic environment

• Passion for DevSecOps, automation, and engineering scalablesecuritysolutions

• Strong curiosity and practical understanding of the evolving AI threat landscape and moderncloud-native technologies

• Collaborative mindset with ability to work effectively across engineering, infrastructure, AI, data, andsecurityteams

• Strong communication skills with the ability to influence technical and business stakeholders

• Desire to continuously improvesecuritymaturity while enabling business agility and innovation

Qualifications

Required

• Bachelor's degree in computer science, Engineering, Information Technology, Cybersecurity, or related field

• 10+ years of experience insecurityengineering,cloudsecurityarchitecture, or cybersecurityoperations

• Strong hands-on expertise with AWS and/or Microsoft Azuresecurityservices andcloud-native architectures

• Experience implementingsecurityautomation within CI/CD and Infrastructure-as-Code environments

• Deep understanding of IAM, networksecurity, encryption, secrets management, logging, monitoring, and threat detection

• Experience securing enterprise data platforms and moderncloud-native applications

• Strong knowledge ofsecurityframeworks and best practices including NIST, CIS, Zero Trust, and secure SDLC principles

Preferred

• Experience securing AI/ML platforms, GenAI services, or MLOps pipelines

• Familiarity with AI governance, AIsecurityrisks, and emerging regulatory frameworks

• Experience with DSPM, CSPM, CNAPP, SIEM, SOAR, and moderncloudsecuritytooling

• Securitycertifications such as CISSP, CCSP, CCSK, AWS CertifiedSecuritySpecialty, or Microsoft Certified: AzureSecurityEngineer Associate

• Preferred additional certifications or training in AIsecurityor data privacy/securitydomains (e.g., CDPSE, CIPP, AIsecuritycertifications)

Bloom Energy is an equal opportunity employer and makes employment decisions on the basis of merit. We are committed to compliance with all applicable laws providing equal employment opportunities. All qualified applicants, will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, or on the basis of disability. Bloom Energy makes reasonable accommodations, consistent with applicable laws, for the known physical or mental limitations of an otherwise qualified applicant or employee with a disability, who can perform the essential job functions, unless undue hardship would result.

At Bloom Energy, we are committed to supporting the well-being of our employees and their families. Our comprehensive benefits package for eligible employees includes competitive Medical, Dental, and Vision plans with a large employer contribution, a 401(k) Retirement Plan with companymatch, generousMental Health Support services, Legal services, virtual Physical Therapy access, and Fertility & Family Forming benefits.

Bloom Energy is committed to fair andequitablecompensation practices.

FULL TIME ROLE ONLY:The total compensation for this position includes standard company benefits and is based onvarious factorsincluding, but not limited to, relevant skills and experience.

Salary Ranges: