Senior Staff Engineer, Security Architect

Posted 2 Days Ago
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San Jose, CA, USA
In-Office
179K-257K Annually
Senior level
Energy
The Role
Design and implement enterprise security architectures, lead AI/ML security (LLMs, GenAI, MLOps), develop security policies, conduct risk assessments, support incident response, mentor junior staff, and enhance cloud, network, IAM, data, and endpoint security.
Summary Generated by Built In

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 Senior Staff Engineer, Security Architect to join our team in one of today’s most exciting technologies. This role is based in San Jose, CA. This is a fully on-site, in office role.

Responsibilities:

  • Security Architecture Design: Develop and implement robust security architectures for enterprise-level systems, ensuring alignment with business objectives and regulatory requirements.
  • AI Security: Define security controls for LLMs (Large Language Models), GenAI platforms, AI APIs, and Agentic AI. Embed security into MLOps pipelines (DevSecOps for AI). Design secure architectures for AI/ML systems, including model training, inference, and deployment pipelines. Protect against model theft and extraction attacks. Implement model monitoring for drift, anomalies, and abuse. Ensure secure model storage, versioning, and access control.
  • Policy Development: Create, update, and enforce security policies, standards, and procedures to protect the organization's information assets.
  • Risk Management: Conduct comprehensive risk assessments and vulnerability analyses to identify potential security threats and develop mitigation strategies.
  • Collaboration: Work closely with IT, development, and business teams to integrate security measures into all aspects of the organization, including software development, network infrastructure, and cloud services.
  • Incident Response: Assist SOC team with incident response efforts, providing expertise during security breaches and ensuring effective resolution and documentation.
  • Continuous Improvement: Stay updated on the latest security technologies, trends, and threats, and recommend improvements to enhance the organization's security posture.
  • Mentorship: Mentor and guide junior security team members, fostering a culture of continuous learning and professional development.

Requirements:

  • Educational Background: Bachelor's degree in engineering, Computer Science, Information Technology, or a related field.
  • Experience: Minimum of 12+ years of experience in security, with at least 3 years in architect or equivalent role.
  • Technical Proficiency: Strong knowledge of security frameworks (e.g., NIST, ISO 27001) and proficiency in security technologies such as firewalls, web proxy, intrusion detection/prevention systems, SASE, Secure Browser, XDR, DLP, CASB, CNAPP, IAM.
  • AI Security: Hands on experience with defining security controls for LLMs (Large Language Models), GenAI platforms, AI APIs, and Agentic AI. Embed security into MLOps pipelines (DevSecOps for AI). Design secure architectures for AI/ML systems, including model training, inference, and deployment pipelines. Protect against model theft and extraction attacks. Implement model monitoring for drift, anomalies, and abuse. Ensure secure model storage, versioning, and access control.
  • Cloud Security: Experience with cloud security (AWS, Azure) and understanding of cloud-native security practices.
  • Zero Trust Security: Proficiency in designing and implementing Zero Trust security models, including secure network strategies, strong authentication policies, and risk management frameworks.
  • Cyber Resiliency: Expertise in building cyber resiliency, including developing incident response plans, conducting threat intelligence analysis, and ensuring business continuity during and after cyber incidents.
  • Network Security: Strong understanding of network protocols, secure network architecture, and experience with configuring and managing firewalls, intrusion detection systems, and encryption solutions.
  • Identity and Access Management (IAM): Expertise in IAM principles and best practices, including user identity management, role-based access control (RBAC), single sign-on (SSO), multi-factor authentication (MFA), and identity governance.
  • Data Security: Proficiency in data security strategies, including data encryption, data loss prevention (DLP), secure data storage, and data integrity measures.
  • Endpoint Protection: Proficiency in endpoint protection strategies, including anti-malware solutions, host-based intrusion detection systems (IDS/IPS), endpoint hardening, and mobile device management.
  • Problem-Solving Skills: Excellent analytical and problem-solving skills, with the ability to work under pressure and handle complex security issues.
  • Communication Skills: Strong communication and leadership skills, with the ability to effectively convey security concepts to both technical and non-technical stakeholders.

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-JM

Salary Ranges:$178,800.00 - $257,200.00

Skills Required

  • Bachelor's degree in Engineering, Computer Science, Information Technology, or related field
  • 12+ years of experience in security with at least 3 years in an architect or equivalent role
  • Strong knowledge of security frameworks (NIST, ISO 27001)
  • Proficiency with security technologies: firewalls, web proxies, IDS/IPS
  • Experience with SASE, Secure Browser, XDR, DLP, CASB, CNAPP
  • Hands-on AI security experience: defining controls for LLMs, GenAI platforms, AI APIs, Agentic AI
  • Experience embedding security into MLOps/DevSecOps for AI and securing model training/inference/deployment
  • Experience with cloud security (AWS, Azure) and cloud-native security practices
  • Proficiency designing and implementing Zero Trust security models
  • Expertise in cyber resiliency, incident response planning, and threat intelligence analysis
  • Strong understanding of network security, encryption solutions, and secure network architecture
  • Expertise in Identity and Access Management (RBAC, SSO, MFA, identity governance)
  • Proficiency in data security strategies, including encryption, DLP, and secure data storage
  • Expertise in endpoint protection, anti-malware, host-based IDS/IPS, endpoint hardening, and MDM
  • Excellent analytical, problem-solving, communication, and leadership skills

Bloom Energy Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Bloom Energy and has not been reviewed or approved by Bloom Energy.

  • Healthcare Strength Current job postings describe comprehensive medical, dental, and vision coverage with a large employer contribution, plus mental‑health support, fertility/family‑forming benefits, virtual physical therapy, and legal services. Company materials link to Collective Health and Kaiser, indicating established plan options.
  • Equity Value & Accessibility An Employee Stock Purchase Plan and equity awards are offered, providing accessible ownership opportunities that can enhance total compensation.
  • Retirement Support Recent postings and filings indicate a 401(k) with company match has been added, marking a clear improvement over earlier periods without matching.

Bloom Energy Insights

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The Company
HQ: San Jose, CA
1,716 Employees
Year Founded: 2001

What We Do

Bloom Energy empowers businesses and communities to responsibly take charge of their energy. The company’s leading solid-oxide platform for distributed generation of electricity and hydrogen is changing the future of energy. Fortune 100 companies around the world turn to Bloom Energy as a trusted partner to deliver lower carbon energy today and a net-zero future. For more information, visit www.bloomenergy.com. The Bloom Energy Server is a distributed electric power solution built for the digital age and capable of delivering highly reliable, uninterrupted, 24x7 constant power that is also clean and sustainable. Bloom’s unique on-site power generation systems are among the most efficient on the planet, providing significantly reduced operating costs and producing dramatically lower greenhouse gas emissions. By generating power where it is consumed, Bloom Energy offers increased electrical reliability and improved energy security, providing a clear path to energy independence. Some of the largest companies in the world trust Bloom Energy to provide their businesses with clean, reliable and resilient energy. Bloom’s customers include many Fortune 100 companies and leaders in manufacturing, data centers, healthcare, retail, higher education, utilities, and other industries. The company, headquartered in San Jose, California, is growing quickly and looking to add to its dynamic team. Stay up to date with Bloom Energy through our social channels.

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