Sr Cloud Security Architect
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Job Location:
San Jose, CA - USA
Monthly Salary:
$ 185500 - 344500
Posted on:
6 hours ago
Vacancies:
1 Vacancy
Job Summary
At Cadence we hire and develop leaders and innovators who want to make an impact on the world of technology.
Job Summary
We are seeking a Senior Cloud Security Architect to define and lead security architecture across multi-cloud platforms (AWS Microsoft Azure and Google Cloud Platform) and AI/Generative AI (GenAI) workloads. This role will be responsible for designing secure cloud and AI architectures establishing governance and guardrails and partnering with engineering data and AI teams to securely enable innovation at scale.
The ideal candidate possesses deep cloud security expertise strong architectural leadership and recognized industry certifications including CISSP CCSP and cloud-provider security credentials with at least 8 years of hands-on experience in cloud security architecture.
Key Responsibilities
Cloud Security Architecture & Strategy
1. Design and maintain secure scalable and resilient security architectures across AWS Azure and GCP.
2. Define cloud and AI security reference architectures patterns and standards covering IaaS PaaS containers serverless and AI platforms.
3. Lead security architecture reviews for cloud and AI initiatives ensuring consistency defense-in-depth and least-privilege design.
4. Managed AI services (e.g. Amazon Bedrock Azure OpenAI GCP Vertex AI) self-hosted and open-source models
Identity Network and Data Security
1. Architect IAM strategies for cloud and AI services (human workload and service identities).
2. Design network security architectures (segmentation private endpoints service perimeters Zero Trust).
3. Define data protection and key management strategies for cloud and AI workloads including encryption KMS/HSM BYOK/HYOK and secrets management.
Risk Management Compliance & AI Governance
1. Ensure cloud and AI architectures align with security and compliance frameworks (NIST ISO 27001 SOC 2 CIS GDPR etc.).
2. Contribute to AI governance programs including:
1. Responsible AI and ethical AI principles
2. Model risk management and lifecycle controls
3. Compliance with emerging AI regulations and standards (e.g. NIST AI RMF EU AI Act readiness)
3. Support threat modeling risk assessments and control mapping for both cloud and AI systems.
Security Engineering & Automation (DevSecOps / MLOps)
1. Embed security into CI/CD and MLOps pipelines for cloud and AI workloads.
2. Promote infrastructure-as-code and policy-as-code for consistent security enforcement.
3. Define detection and response strategies using cloud-native and AI-aware security tooling including logging SIEM integration and anomaly detection.
Leadership & Collaboration
1. Serve as a senior security authority and trusted advisor for cloud platform data and AI engineering teams.
2. Mentor engineers and architects on cloud and AI security best practices.
3. Evaluate and recommend cloud AI and security platforms and third-party solutions.
Required Qualifications
Experience
1. 8 years of experience in cloud security architecture security engineering or related roles.
2. Demonstrated experience securing multi-cloud environments (AWS Azure GCP).
3. Hands-on experience designing security controls for AI/ML or GenAI workloads in production environments.
Certifications (Required)
1. CISSP (Certified Information Systems Security Professional)
2. CCSP (Certified Cloud Security Professional)
3. Cloud security certifications such as:
1. AWS Certified Security Specialty
2. Microsoft Certified: Azure Security Engineer (Associate or Expert)
3. Google Professional Cloud Security Engineer
Technical Skills
1. Deep expertise in:
1. Cloud IAM networking logging and security services
2. Encryption PKI KMS/HSM and secrets management
3. Kubernetes and container security
2. Strong understanding of:
1. AI/ML pipelines GenAI architectures and model lifecycle
2. AI-specific threat models and mitigations
3. DevSecOps and secure MLOps practices
Preferred Qualifications
1. Experience securing regulated or high-risk environments (financial services healthcare government).
2. Familiarity with Zero Trust and privacy-enhancing technologies.
3. Knowledge of AI governance frameworks (NIST AI RMF ISO/IEC 23894 EU AI Act).
4. Strong communication skills with the ability to influence both technical and executive stakeholders.
The annual salary range for California is $185500 to $344500. You may also be eligible to receive incentive compensation: bonus equity and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the salary range is a guideline and compensation may vary based on factors such as qualifications skill level competencies and work location. Our benefits programs include: paid vacation and paid holidays 401(k) plan with employer match employee stock purchase plan a variety of medical dental and vision plan options and more.
Were doing work that matters. Help us solve what others cant.
Required Experience:
Senior IC
Key Skills
- APIs
- Pegasystems
- Spring
- SOAP
- .NET
- Hybris
- Solution Architecture
- Service-Oriented Architecture
- Adobe Experience Manager
- J2EE
- Java
- Oracle
About Company
Do you want to shape the future of technology? Cadence is leading the charge to solve some of technology’s toughest challenges. We work with the world’s most innovative companies, across a growing range of industries. Major trends that you hear about everyday – like artificial intell ... View more
