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 StaffCloud Security Engineer 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 EngineeringDesign, implement, automate, and maintain security architectures, controls, and processes across AWS and Microsoft Azure environmentsDevelop and maintain cloud security reference architectures, patterns, and guardrails aligned with industry best practices and Bloom Energy security standardsBuild and operationalize security baseline controls integrated into CI/CD pipelines and Infrastructure-as-Code deploymentsImplement policy-as-code and automated compliance validation across cloud environmentsReview and approve security-sensitive infrastructure and application changes, including IAM policies, network security controls, secrets management, and cloud-native servicesServe as the cloud security subject matter expert supporting enterprise cloud transformation initiatives across IaaS, PaaS, and SaaS platformsAI & Machine Learning SecurityDefine and implement security frameworks for AI/ML systems across the full model lifecycle, including data ingestion, model training, deployment, and monitoringAssess and mitigate emerging AI security risks such as adversarial attacks, prompt injection, model theft, model inversion, and data poisoningSecure AI/ML platforms and services including Amazon SageMaker, Bedrock, Azure Machine Learning, OpenAI APIs, and other enterprise AI toolingCollaborate with AI engineering and data science teams to integrate security controls into MLOps pipelines and AI governance processesMonitor evolving AI regulations, standards, and frameworks including NIST AI RMF and global AI governance initiatives, translating them into actionable controls and engineering practicesData SecurityImplement and manage Data Security Posture Management (DSPM) capabilities to identify and reduce sensitive data exposure across cloud environmentsDesign 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 governancePartner with application and analytics teams to embed secure data handling practices into engineering workflowsSecurity Architecture & LeadershipProvide deep technical expertise across cloud, AI, infrastructure, identity, and application security domainsLead security assessments and threat modeling exercises for cloud services, AI/ML platforms, enterprise applications, and emerging technologiesEnable secure innovation by partnering with engineering teams early in the design and development lifecycleSupport incident response, investigation, and remediation activities related to cloud, AI, and data security eventsCollaborate closely with Information and OT Security, Infrastructure, Product Engineering, and Enterprise Architecture teams to drive secure technology adoption across the organizationContribute to the development of security standards, policies, and operational procedures aligned with business and regulatory requirementsWhat You BringMindsetSelf-starter with strong ownership mentality and ability to manage multiple priorities in a dynamic environmentPassion for DevSecOps, automation, and engineering scalable security solutionsStrong curiosity and practical understanding of the evolving AI threat landscape and modern cloud-native technologiesCollaborative mindset with ability to work effectively across engineering, infrastructure, AI, data, and security teamsStrong communication skills with the ability to influence technical and business stakeholdersDesire to continuously improve security maturity while enabling business agility and innovationQualificationsRequiredBachelor's degree in computer science, Engineering, Information Technology, Cybersecurity, or related field10+ years of experience in security engineering, cloud security architecture, or cybersecurity operationsStrong hands-on expertise with AWS and/or Microsoft Azure security services and cloud-native architecturesExperience implementing security automation within CI/CD and Infrastructure-as-Code environmentsDeep understanding of IAM, network security, encryption, secrets management, logging, monitoring, and threat detectionExperience securing enterprise data platforms and modern cloud-native applicationsStrong knowledge of security frameworks and best practices including NIST, CIS, Zero Trust, and secure SDLC principlesPreferredExperience securing AI/ML platforms, GenAI services, or MLOps pipelinesFamiliarity with AI governance, AI security risks, and emerging regulatory frameworksExperience with DSPM, CSPM, CNAPP, SIEM, SOAR, and modern cloud security toolingSecurity certifications such as CISSP, CCSP, CCSK, AWS Certified Security Specialty, or Microsoft Certified: Azure Security Engineer AssociatePreferred additional certifications or training in AI security or data privacy/security domains (e.g., CDPSE, CIPP, AI security certifications)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 company match, generous Mental Health Support services, Legal services, virtual Physical Therapy access, and Fertility & Family Forming benefits. Bloom Energy is committed to fair and equitable compensation practices. FULL TIME ROLE ONLY: 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. #LI-NPSalary Ranges:$155,800.00 - $224,200.00SummaryLocation: San Jose, CaliforniaType: Full time