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# Lead AWS Cloud Platform Engineer

- **Company:** System One
- **Location:** Reston, VA, United States
- **Experience:** Expert
- **Salary:** $226,824
- **Contract:** Temporary contract
- **Skills:** Kubernetes Security, Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Application Release Automation, Systems Engineering, Build Automation, Microsoft Azure, Bash Shell, Cloud Engineering, Continuous Integration, DevOps, Fault Tolerance, Identity and Access Management, Subnetting, Python (Programming Language), Linux System Administration, Scrum Methodology, Ansible, Datadog, Scripting, Google Cloud, Istio, Retrieval-Augmented Generation, Amazon Virtual Private Cloud (VPC), Cloudformation, Amazon Relational Database Service, Information Technology, Cloud Migration, Cloudwatch, Terraform, New Relic (SaaS), Appdynamics, Serverless Computing, Legacy Systems, Microservices
- **Published:** November 14, 2026
- **Apply:** https://www.juju.com/job/16_fd030a023

## About the Role

* Bachelor's degree in IT, Computer Science, or related field (In lieu of a degree: additional relevant experience may be considered)
 * 10+ years of relevant IT / systems engineering experience, including hands-on engineering
 * 5+ years of AWS-focused cloud engineering, automation, and administration
 * AWS certification required (at least one), such as:
 + AWS Certified Solutions Architect, and/or
 + AWS Certified DevOps Engineer
 * Strong experience with AWS core services, such as:
 + Networking: VPC, subnets, security groups/NACLs, Direct Connect
 + Core: EC2, S3, RDS, IAM
 + Audit/monitoring: CloudTrail, CloudWatch
 + Containers/serverless: EKS, Lambda (ECS a plus)
 * Strong skills in Infrastructure as Code / automation, including at least one of:
 + Terraform, CloudFormation, CDK, Ansible plus scripting (Python strongly preferred)
 * Experience with CI/CD and release automation patterns and tools
 * Linux administration + strong Bash scripting
 * Strong communication skills and the ability to lead/drive technical decisions and transformations

NICE TO HAVE

 * 3-5 years in an SRE-aligned role (principles, reliability transformation)
 * Exposure to Azure or Google Cloud
 * Experience with service mesh (e.g., Istio / AWS App Mesh) and container networking (CNI)
 * Container security tooling (Twistlock/Prisma, Aqua, Sysdig, etc.)
 * Observability tooling (New Relic, AppDynamics, Datadog, Jaeger, etc.)
 * AWS AI/GenAI patterns (e.g., Amazon Kendra, Bedrock, RAG)
 * Agile/Scrum environment experience

## Description

In this role, you'll partner with cloud engineers and technology teams to design and operate scalable, secure, production-grade AWS platforms. You'll help drive enterprise cloud transformation, improve developer experience through automation, and mentor engineers across the team., * Design, implement, and improve AWS platform components with a focus on security, stability, and scalability

 * Own and improve the service lifecycle (design, build, deploy & operate)
 * Build automation using cloud-native services to improve developer experience and delivery speed
 * Support cloud transformation and migration of legacy applications (including microservices approaches)
 * Apply modern cloud-native patterns: containers, immutable infrastructure, service mesh, fault-tolerant design
 * Implement and maintain Infrastructure as Code and "provision with code only" best practices
 * Strengthen observability, performance, and audit readiness across environments
 * Troubleshoot incidents, support root cause analysis, and improve standard operating procedures
 * Mentor team members and help set engineering best practices across development and operations