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Remote Tokenization Jobs (NOW HIRING)

Remote Duration: Longterm contract Type: Only W2 Note: Looking for EX- Santander contractors ... Tokenization or Data masking knowledge and testing the same. * Experience in Test Data Management ...

IT Blockchain Intern

Kansas City, MO · On-site +1

$25.64K - $49.44K/mo

This role is hybrid (Mon through Thu on-site / Fri remote) at the UMB Technology & Operations ... Conduct research and develop on blockchain platforms, digital assets, tokenization, smart contracts ...

Senior Sales Executive

New York, NY · On-site

$153K - $326K/yr

Tokenization industry expertise - have a strong understanding of the Institutional RWA landscape ... remote-based. Unless otherwise stated, we ask that you try to overlap some working hours with ...

... measure. #LI-Remote Responsibilities * Define and drive the product strategy and roadmap in ... Expertise in trading systems, tokenization, payments (a plus) * Experience at a banking-as-a ...

... measure. #LI-Remote Responsibilities * Define and drive the product strategy and roadmap in ... Expertise in trading systems, tokenization, payments (a plus) * Experience at a banking-as-a ...

Automate data preprocessing (tokenization, formatting, filtering) for user-supplied datasets ... Competitive compensation, equity potential, and flexible remote work.

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Remote Tokenization information

What is the difference between Remote Tokenization vs Remote Data Analyst?

AspectRemote TokenizationRemote Data Analyst
Required CredentialsSecurity certifications, knowledge of encryptionStatistics, data analysis certifications
Work EnvironmentFinance, cybersecurity firmsTech, finance, healthcare sectors
Industry UsageFinancial services, cybersecurityBusiness intelligence, market research

Remote Tokenization involves securing sensitive data through encryption techniques, primarily in finance and cybersecurity industries. Remote Data Analysts interpret data to inform business decisions across various sectors. While both roles require analytical skills, Remote Tokenization focuses on data security, whereas Remote Data Analysts focus on data interpretation and reporting.

More about Remote Tokenization jobs
What cities are hiring for Remote Tokenization jobs? Cities with the most Remote Tokenization job openings:
What are the most commonly searched types of Tokenization jobs? The most popular types of Tokenization jobs are:
What states have the most Remote Tokenization jobs? States with the most job openings for Remote Tokenization jobs include:
Infographic showing various Remote Tokenization job openings in the United States as of May 2026, with employment types broken down into 82% Full Time, 14% Part Time, and 4% Contract. Highlights an 4% Physical, 95% Hybrid, and 1% Remote job distribution.

Principle Cybersecurity Architect

DRC Systems

Boston, MA • Remote

Contractor

Posted 20 days ago


Job description

Title : Principle Cybersecurity Architect
Location: Boston, MA (Remote)
Core Requirements:
• 10+ years of experience in cybersecurity architecture and engineering.
• Must have experience designing Post-Quantum Cryptography (PQC) strategies and crypto-agility frameworks for enterprise environments.
• Hands-on expertise in confidential computing using Trusted Execution Environments (TEEs).
• Lead architecture and deployment of identity threat detection & response (ITDR) solutions.
• Establish secure workload identity frameworks leveraging SPIFFE/SPIRE for zero-trust service-to-service authentication across distributed systems.
• Secure inference pipelines utilizing TensorRT-LLM and Triton Inference Server.
• Use Backstage IDP to Integrate security controls into platform engineering workflows.
• Enforce Kubernetes-native security policies using Kyverno.
• Ensure consistent policy-as-code enforcement across multi-cluster environments.
• Drive cost-aware security architecture aligned with FinOps principles.
• Design and implement post-quantum cryptography to future-proof enterprise security against emerging threats.
Other Requirements:
• Experience building privacy-preserving systems using differential privacy and federated learning
• Strong background in AI-driven cybersecurity, including UEBA, SOAR automation, and autonomous SOC architectures
• Advanced detection engineering, including detection-as-code and SIEM optimization at scale
• Deep expertise in Zero Trust Architecture (NIST 800-207) including identity-aware access and micro-segmentation
• Strong experience in cloud security across AWS, Azure, and GCP (CSPM, CWPP, CNAPP)
• Proven expertise in IAM/PAM, identity federation, and passwordless authentication (FIDO2, biometrics)
• Experience with DevSecOps (SAST, DAST, SCA, SBOM, secure SDLC)
• Strong knowledge of threat modeling frameworks (STRIDE, MITRE ATT&CK)
• Hands-on experience with SIEM/SOAR platforms and incident response automation
• Expertise in Kubernetes and container security, including runtime protection
• Experience in API security and service mesh security (mTLS, Zero Trust networking)
• Strong understanding of data security (DLP, encryption, tokenization, HSM-based key management)
Key Responsibilities:
Security Architecture & Strategy
• Define and implement enterprise-wide security architecture strategy across cloud and hybrid environments
• Lead Zero Trust transformation initiatives to reduce attack surface and improve security posture
• Design crypto-agility and future-proof encryption strategies for evolving threat landscapes
Advanced Security Engineering
• Architect and deploy AI-driven threat detection and response systems
• Design and implement privacy-preserving and confidential computing solutions
• Lead post-quantum security readiness initiatives
Cloud & Platform Security
• Secure large-scale multi-cloud and Kubernetes environments
• Design and deploy CNAPP platforms integrating CSPM, CWPP, and CIEM
• Build scalable DevSecOps pipelines with integrated security controls
Threat & Risk Management
• Lead threat modeling, red teaming, and adversarial simulations
• Develop and enhance threat intelligence platforms aligned with MITRE ATT&CK
• Drive detection engineering and security observability improvements
Data Protection & Resilience
• Architect enterprise data protection platforms (encryption, tokenization, DLP)
• Design cyber resilience strategies, including ransomware defense and recovery mechanisms
 

Note
Preferred Qualifications:

• Experience in financial services, telecom, or government sectors
• Familiarity with regulatory frameworks (SOC2, ISO 27001, HIPAA, PCI-DSS)
• Certifications such as CISSP, CISM, CCSP, AWS Security Specialty
• Experience leading large-scale security transformation programs
• Bachelor’s or Master’s in Computer Science, Cybersecurity, or related field (Master’s preferred)