Lead AWS Cloud Platform Engineer - IaC / Automation / SRE

System One is a leader in delivering outsourced services and workforce solutions across North America. They are hiring a hands-on AWS Engineer to help build, automate, and support a modern cloud platform as part of a major AWS migration program.

Responsibilities:

• Provision and automate AWS infrastructure using Infrastructure-as-Code (IaC) and policy-as-code practices
• Provide production support: incident troubleshooting, log analysis, metrics review, and root-cause analysis (RCA)
• Partner with application teams and architects to diagnose issues and stabilize workloads in production
• Support ongoing on-prem to AWS migration, including containerized/EKS-based environments
• Troubleshoot AWS networking/connectivity, security, and performance bottlenecks
• Improve reliability and scalability using automation and SRE-style operational best practices
• Support monitoring, upgrades/patching, capacity planning, and continuous platform improvements

Requirements:

• 10+ years overall IT experience (senior/lead-level background)
• 5+ years recent, hands-on AWS platform engineering/admin experience
• AWS must have been your primary focus for the last 5 years
• Strong experience provisioning AWS resources and supporting production environments
• Proven ability to troubleshoot outages and perform RCA, including where/what to check in logs
• Terraform (1+ year minimum) provisioning AWS infrastructure
• Strong automation/scripting experience (including Bash)
• Linux administration experience
• Python automation experience (Lambda/Boto3 preferred)
• Hands-on AWS experience with (at minimum): EC2 (required), VPC, subnets, IAM, security groups, S3, CloudWatch
• At least one current AWS certification
• Strong communication and cross-team collaboration skills
• Kubernetes / containers , especially AWS EKS
• SRE experience
• CI/CD and DevOps tooling (Jenkins, Git/Bitbucket, Artifactory, Ansible, etc.)
• CloudFormation and/or AWS CDK
• Database troubleshooting experience
• Exposure to AWS AI/ML services (Bedrock, SageMaker, Kendra, RAG solutions) — helpful for some project assignments