Cloud Engineer (U.S. Citizen)

Y-TEK INNOVATIONS, LLC
Ashburn, VA, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Compensation
$123,427.0 - $148,658.0
Working hours
Regular working hours
Job source

Tech stack

Kubernetes Security Java (Programming Language) Artificial Intelligence Amazon Web Services Microsoft Azure Bash Shell Cloud Computing Cloud Computing Security Cloud Engineering Github Identity and Access Management Python (Programming Language)
+14 more
Cloud Services Systems Integration Policy as Code Large Language Models Software Security Multi-Cloud Amazon Virtual Private Cloud (VPC) Gitlab Cloudformation Kubernetes Cloudwatch Api Gateway Terraform Jenkins

Job description

We are seeking a motivated and innovative Cloud Engineer to join our dynamic team. As a member of our Cloud Engineer team, you will design secure cloud services to support mission-critical operations. This is an excellent opportunity to leverage the latest cloud technologies and explore ways to enhance your client’s environment using current cloud capabilities. Your technical expertise will be crucial as you collaborate closely with your team and the client to shape strategy and design, ensuring that all standards are met throughout the cloud migration process. This is an exciting opportunity for someone with 6-12 years of experience who is eager to learn and grow in a collaborative and fast-paced environment.

Requirements

Do you have experience in WAF?, Clearance Requirement: This position requires the ability to obtain a DHS Public Trust Level 5 Clearance. U.S. Citizenship is required to meet this requirement., · 6-12+ years in cloud engineering, cloud security, and/or application security roles.

· Strong AWS security engineering experience (IAM, KMS, VPC segmentation, API Gateway, WAF, Config, GuardDuty, Security Hub, CloudTrail/CloudWatch).

· Deep experience embedding security controls in CI/CD pipelines (GitHub, GitLab, Jenkins) and implementing IaC scanning (Terraform, CloudFormation, CDK).

· Experience with AI/ML-augmented security: RAG pipelines, LLM-assisted triage, automated enrichment, false-positive reduction, and Responsible AI/AI RMF controls.

· Strong scripting and automation experience (Python, Java, Bash) for AppSec and cloud workflow automation.

· Familiarity with compliance frameworks (SOC 2, NIST, FedRAMP), automated evidence collection, and cloud-native governance.

Preferred Qualifications

· Multi-cloud exposure (Azure/GCP) in addition to AWS.

· Experience integrating or securing AI/ML workloads (Bedrock, SageMaker, LLM agents, vector/RAG architecture).

· Experience building AI-powered security automations (exploitability analysis, risk dashboards, KEV/CVE correlation, LLM safety validation).

· Certifications: CISSP, CCSP, AWS Security Specialty, AWS ML Specialty.

· Experience with container security, Kubernetes hardening, and policy-as-code frameworks.

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