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Confidential Computing Jobs (NOW HIRING)

TMS

Azure DevOps Architect

Menlo Park, CA · On-site

$74.75 - $97.50/hr

... Confidential Computing -- Architecture and deployment of secure enclave workloads for high-security, regulated enterprise environments - SBOM Automation Pipelines -- End-to-end automated Software ...

Advanced Micro Devices, Inc

SoC Security Architect

Austin, TX · On-site

$64.50 - $83.25/hr

Design secure boot, attestation, and confidential computing architectures for client and gaming products * Conduct threat modeling and vulnerability assessments for complex system architectures

Near AI

Senior Product Designer

San Francisco, CA · On-site

Strong ability to design complex systems simply - translating deep technical ideas (like confidential computing or decentralized solvers) into clear, delightful user journeys. * Prototyping Mastery:

Near AI

Senior Product Designer

San Francisco, CA · On-site

Strong ability to design complex systems simply - translating deep technical ideas (like confidential computing or decentralized solvers) into clear, delightful user journeys. * Prototyping Mastery:

TMS

Principal Cybersecurity Architect

Boston, MA · On-site

... Confidential Computing & Trusted Execution Environments (TEE) • Experience with Identity Threat Detection & Response (ITDR) • Strong knowledge of SPIFFE/SPIRE for Zero Trust authentication • ...

Honeywell

Sr. Director Data & AI Platforms

Atlanta, GA

$64.75 - $86.50/hr

Confidential Computing & AI Security: Knowledge of data security architectures for AI: confidential computing, differential privacy, federated learning, model watermarking, adversarial robustness ...

Honeywell

Sr. Director Data & AI Platforms

Atlanta, GA

$64.75 - $86.50/hr

Confidential Computing & AI Security: Knowledge of data security architectures for AI: confidential computing, differential privacy, federated learning, model watermarking, adversarial robustness ...

Edgeless Systems GmbH

Director Growth

New Bremen, OH · On-site

Hi there, we are Edgeless Systems Edgeless Systems is a German cybersecurity startup developing industry-leading software for Confidential Computing. Our technology keeps data encrypted even while it ...

Nvidia

OR

$65.50 - $87/hr

Facilitating adoption of Confidential Computing and hardware-rooted trust models for high-sensitivity AI workloads. * Crafting layered encryption schemes to mitigate risks and adhere to Zero Trust ...

Edgeless Systems GmbH

Director Growth

Beaver, OH · On-site

Hi there, we are Edgeless Systems Edgeless Systems is a German cybersecurity startup developing industry-leading software for Confidential Computing. Our technology keeps data encrypted even while it ...

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How much do confidential computing jobs pay per year?

As of Jun 5, 2026, the average yearly pay for confidential computing in the United States is $52,999.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $59,000.00 per year, depending on experience, location, and employer.

How does a Confidential Computing specialist typically collaborate with cross-functional teams to implement secure data solutions?

As a Confidential Computing specialist, you will often work closely with cloud architects, application developers, and security teams to design and implement secure data processing environments. Collaboration involves reviewing application architectures, advising on secure enclaves, and helping to integrate hardware-based security features into workflows. Regular meetings, code reviews, and joint troubleshooting sessions are common, ensuring that sensitive data remains protected throughout its lifecycle. This role requires strong communication skills to translate complex security concepts across technical and non-technical stakeholders.

What are the key skills and qualifications needed to thrive in a Confidential Computing role, and why are they important?

To thrive in a Confidential Computing role, you need strong expertise in cybersecurity, cloud computing, encryption technologies, and typically a degree in computer science or a related field. Familiarity with secure enclaves, trusted execution environments (TEEs) like Intel SGX or AMD SEV, and certifications such as CISSP or cloud security credentials are often required. Exceptional problem-solving, attention to detail, and effective communication are crucial soft skills for collaborating with cross-functional teams and addressing complex security challenges. These skills ensure that sensitive data remains protected during computation, maintaining privacy and compliance in increasingly complex digital environments.

What is the difference between Confidential Computing vs Data Security Specialist?

AspectConfidential ComputingData Security Specialist
CredentialsTypically requires knowledge of hardware security, cloud security certifications, and sometimes cloud provider-specific credentialsOften holds certifications like CISSP, CISA, or CompTIA Security+
Work EnvironmentPrimarily in cloud environments, data centers, or secure hardware setupsInvolves network security, endpoint protection, and data protection across various platforms
Industry UsageUsed in cloud service providers, financial institutions, and organizations handling sensitive dataCommon across IT, finance, healthcare, and government sectors

Confidential Computing focuses on protecting data in use by securing hardware and cloud environments, while Data Security Specialists implement broader security measures to safeguard data across systems and networks. Both roles are vital for comprehensive data protection but differ in scope and technical focus.

What is confidential computing?

Confidential computing is a technology that protects data while it is being processed in memory, not just when it is stored or transmitted. It uses secure, isolated environments known as Trusted Execution Environments (TEEs) to prevent unauthorized access, even from cloud providers or system administrators. This ensures sensitive data and workloads remain confidential, increasing security for organizations handling critical information. Confidential computing is becoming increasingly important for industries with strict privacy and compliance requirements.
Infographic showing various Confidential Computing job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 52% Full Time, 42% Part Time, 2% Temporary, and 2% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $52,999 per year, or $25.5 per hour.
Azure DevOps Architect

Azure DevOps Architect

TMS

Menlo Park, CA • On-site

$74.75 - $97.50/hr

Contractor

Posted 29 days ago

Job description

Role: Azure DevOps Architect
Location: Menlo Park, CA (Remote)
Duration: 12 Months contract
Visas: All
 
Job Description:

Mandatory Skills:
- Azure Deployment Stacks — Enterprise-scale infrastructure lifecycle governance across hundreds of Azure subscriptions, including resource management, scoping, and deny assignment enforcement.
- Open Policy Agent (OPA) / Policy-as-Code — Design and enforcement of security and compliance policies embedded natively across CI/CD pipelines at enterprise scale (500+ engineering teams).
- Sigstore — Production-level implementation of artifact signing, verification, and software supply chain integrity pipelines across distributed engineering environments
- Azure Chaos Studio — Resilience engineering through controlled fault injection and distributed system failure experimentation across microservices and cloud-native workloads
- Azure Confidential Computing — Architecture and deployment of secure enclave workloads for high-security, regulated enterprise environments
- SBOM Automation Pipelines — End-to-end automated Software Bill of Materials generation, dependency visibility, and vulnerability tracking integrated into CI/CD workflows
- FluxCD GitOps Platform Engineering — Enterprise-grade GitOps-driven infrastructure delivery and cluster management for large-scale AKS environments
Required Experience:

- 10+ years of experience in DevOps architecture and cloud platform engineering
- Demonstrated enterprise-scale delivery across Fortune-level organizations in finance, healthcare, retail, or technology
- Proven hands-on experience with all seven mandatory niche skills listed above — generalist profiles will not be considered
- Experience supporting 500+ engineering teams or equivalent large-scale platform environments
- Background in regulated industries with strong understanding of compliance, audit, and security requirements
- Azure DevOps — Enterprise CI/CD platform design and management - Kubernetes (AKS) — Large-scale cluster platform engineering
- Infrastructure as Code — Terraform and/or Bicep at enterprise scale
- DevSecOps Architecture — Security-first pipeline design and governance
- Secure Artifact Signing Pipelines — Integration with modern supply chain security frameworks
Note
Key Responsibilities:
- Architect and govern centralized CI/CD platforms supporting large engineering organizations using Azure DevOps integrated with OPA policy-as-code enforcement
- Design and implement enterprise infrastructure lifecycle management using Azure Deployment Stacks across multi-subscription Azure environments
- Build and operate GitOps delivery frameworks using FluxCD for large-scale AKS cluster management
- Lead software supply chain security initiatives including Sigstore artifact signing and automated SBOM generation pipelines
- Architect secure workload environments leveraging Azure Confidential Computing for regulated and high-security use cases
- Conduct resilience engineering experiments across distributed microservices using Azure Chaos Studio
- Define and enforce DevSecOps standards, governance frameworks, and security controls across engineering teams
- Collaborate with security, platform, and product engineering teams to align DevOps strategy with enterprise compliance and regulatory requirements
- Mentor senior engineers and establish best practices for GitOps, supply chain security, and policy-driven delivery