Cloud Engineer (U.S. Citizen)

Y-TEK INNOVATIONS, LLC
Ashburn, United States of America
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 149K

Job location

Ashburn, United States of America

Tech stack

Kubernetes Security
Java
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Bash
Cloud Computing
Cloud Computing Security
Cloud Engineering
Github
Identity and Access Management
Python
Cloud Services
Systems Integration
Policy as Code
Large Language Models
Software Security
Multi-Cloud
Amazon Web Services (AWS)
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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