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# Platform Engineer - Cloud Security

- **Company:** ADAPTIVE SOLUTIONS GROUP
- **Location:** Maryland Heights, MO, United States
- **Salary:** $73,450.0 - $132,775.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Cloud Computing, Cloud Computing Security, Cloud Engineering, Computer Programming, Continuous Integration, Python (Programming Language), Key Management, Linux System Administration, Public Key Infrastructure, Ansible, TypeScript, Private Cloud Environment, Data Logging, Google Cloud, Build Management, Containerization, Kubernetes, Infrastructure Automation Frameworks, Terraform
- **Published:** September 18, 2026
- **Apply:** https://www.careerjet.com/job/uscad1ff8412cb18550521d3ecd9114c6b/eaa

## About the Role

Hands-on cloud infrastructure engineering and infrastructure security experience.
Experience implementing encryption at rest and encryption in transit.
Knowledge of PKI, key management, and AWS Key Management Service.
Experience working with Kubernetes and Linux environments.
Experience using Terraform and Ansible for infrastructure automation.
Programming experience with Python, Scala, or TypeScript.
Ability to develop, modify, and test production application or infrastructure code.
Experience working within CI/CD environments.
Strong understanding of cloud security and infrastructure security best practices.
Preferred Qualifications
Strong AWS cloud infrastructure experience.
Experience working with Google Cloud Platform.
Experience supporting both public and private cloud environments.
Experience automating security controls across large or complex cloud platforms.

## Description

Implement encryption-at-rest controls across cloud and service infrastructure.
Design and implement encryption-in-transit solutions.
Support key management and key rotation initiatives.
Develop, modify, and test application and infrastructure code.
Build and deploy encryption-related security enhancements.
Improve logging, monitoring, and supporting security controls.
Work within cloud-native, Kubernetes, and containerized environments.
Support deployment and automation efforts across multiple platforms.


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