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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Cloud Security Engineer - **Company:** Bloom Energy - **Location:** San Jose, CA, United States - **Experience:** Expert - **Salary:** $155,800.0 - $224,200.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Business Analytics Applications, Microsoft Azure, Mobile Application Development, Software as a Service, Cloud Computing, Cloud Computing Security, Cloud Engineering, Cyber Security, Databases, Continuous Integration, Data Security, Infrastructure as a Service (IaaS), Identity and Access Management, Information Security Management, Intrusion Detection and Prevention, Information Systems Security Architecture Professional, Key Management, Network Security, Platform as a Service (PAAS), Systems Development Life Cycle, Cloud Services, Zero Trust Network Access, Azure Machine Learning, Security Information and Event Management, Software Deployment, Tokenization, Unstructured Data, Enterprise Data Management, Policy as Code, Data Logging, Enterprise Software Applications, Cloud Platform System, Data Classification, Data Ingestion, Software Security, Data Lakes, Information Technology, Machine Learning Operations, Devsecops, Serverless Computing, Security Orchestration, Automation & Response - **Published:** August 5, 2026 - **Apply:** https://bloomenergy.wd1.myworkdayjobs.com/BloomEnergyCareers/job/San-Jose-California/Principal-Cloud-Security-Engineer_JR-22966 ## About the Role * Self-starter with strong ownership mentality and ability to manage multiple priorities in a dynamic environment * Passion for DevSecOps, automation, and engineering scalable security solutions * Strong curiosity and practical understanding of the evolving AI threat landscape and modern cloud-native technologies * 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 * Desire to continuously improve security maturity while enabling business agility and innovation, * Bachelor's degree in computer science, Engineering, Information Technology, Cybersecurity, or related field * 10+ years of experience in security engineering, cloud security architecture, or cybersecurity 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 * Deep understanding of IAM, network security, encryption, secrets management, logging, monitoring, and threat detection * 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 Preferred * Experience securing AI/ML platforms, GenAI services, or MLOps pipelines * Familiarity with AI governance, AI security risks, and emerging regulatory frameworks * Experience with DSPM, CSPM, CNAPP, SIEM, SOAR, and modern cloud security tooling * Security certifications such as CISSP, CCSP, CCSK, AWS Certified Security Specialty, or Microsoft Certified: Azure Security Engineer Associate * Preferred additional certifications or training in AI security or data privacy/security domains (e.g., CDPSE, CIPP, AI security certifications) ## Description We are looking for a Staff Cloud 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 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 SageMaker, 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 Security Architecture & Leadership * Provide deep technical expertise across cloud, AI, infrastructure, identity, and application security domains * Lead security assessments and threat modeling exercises for cloud services, 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 to cloud, AI, and data security events * Collaborate closely with Information and OT Security, Infrastructure, Product Engineering, and Enterprise Architecture teams to drive secure technology adoption across the organization * Contribute to the development of security standards, policies, and operational procedures aligned with business and regulatory requirements ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [WeAreDevelopers LIVE - CSS is DOOMed](https://www.wearedevelopers.com/videos/1838-wearedevelopers-live-css-is-doomed) - [DevSecOps: Injecting Security into Mobile CI/CD Pipelines](https://www.wearedevelopers.com/videos/273-devsecops-injecting-security-into-mobile-ci-cd-pipelines) - [The New AI Security Stack: Observe, Detect, Protect](https://www.wearedevelopers.com/videos/100302-the-new-ai-security-stack-observe-detect-protect) - [You can’t hack what you can’t see](https://www.wearedevelopers.com/videos/41-you-can-t-hack-what-you-can-t-see) ## Related Articles - [Got AI ideas but no money? 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