Cybersecurity Engineer

ReignmarkcsContract
MassachusettsUS Citizen
12 - 15 YearsMay 21st, 2026
92 ViewsBe an Early Applicant
Required Skillset:
Cloud SecurityCybersecurityAWS

Job Description

Position: Cybersecurity Engineer
Location: Boston, MA (3 Days/Week Onsite)

Experience: 12+ Years

Requirements:

* Local candidates preferred
* Face-to-Face interview mandatory

* Federal clearance is mandatory.

 

Job Description

We are looking for an experienced Cybersecurity Engineer with strong expertise in AWS cloud security, AI/ML security, and Snowflake platform security. The candidate will be responsible for securing cloud infrastructure, AI/ML environments, enterprise data platforms, and DevSecOps pipelines. The role involves implementing security controls, monitoring threats, securing AI workflows, and ensuring compliance with enterprise security standards.

 

Roles & Responsibilities:

*  Design and implement security controls for AWS cloud, AI/ML platforms, and enterprise data environments 

*  Secure Snowflake environments using RBAC, encryption, masking policies, and governance controls 

*  Perform vulnerability assessments, threat monitoring, incident response, and risk analysis across cloud systems 

*  Integrate security best practices into CI/CD pipelines and DevSecOps workflows 

*  Support compliance, data privacy, AI governance, secrets management, and security automation initiatives

 

Key Skills Required:

*  5+ years of experience in Cybersecurity, Cloud Security, or Security Engineering 

*  Strong hands-on experience with AWS security tools including IAM, GuardDuty, Security Hub, CloudTrail, KMS, WAF, and VPC Security 

*  Experience securing Snowflake platforms with RBAC, data masking, encryption, row-level security, and governance frameworks 

*  Hands-on experience with Terraform/CloudFormation, Python/Bash/PowerShell scripting, DevSecOps, SIEM/logging/monitoring tools, AI/ML security concepts including model protection and secure AI pipelines, and AWS serverless security

 

Preferred Skills:

*  Experience securing Generative AI or LLM-based applications 

*  AWS certifications such as AWS Security Specialty or Solutions Architect 

*  Snowflake certifications and experience with Kubernetes, container security, and microservices 

* Knowledge of compliance and governance standards including GDPR, HIPAA, and PCI

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