Job title : Senior AWS DevOps Engineer – AI Automation

Location: Sydney, NSW

Role: Contract role

Experience: 5+ years

Role Overview

We are seeking a Senior AWS DevOps Engineer to design, implement, and support scalable cloud infrastructure and deployment platforms. The role has a strong focus on AWS, Terraform, Kubernetes/EKS, CI/CD, and cloud automation , with exposure to Azure and emerging AI/LLM technologies.

Key Responsibilities

- Design and manage scalable AWS infrastructure using Terraform/IaC .
- Build, maintain, and optimize Kubernetes and Amazon EKS environments.
- Develop and maintain CI/CD pipelines and deployment automation.
- Automate infrastructure provisioning, configuration, and operational processes.
- Monitor, troubleshoot, and improve cloud infrastructure performance, reliability, security, and cost.
- Collaborate with development, DevOps, security, and architecture teams on cloud and platform initiatives.
- Support cloud-native production environments and resolve infrastructure issues.
- Maintain technical documentation, standards, and best practices.
- Provide occasional support for Microsoft Azure environments.
- Develop and integrate AI/LLM-assisted automation for DevOps workflows, including IaC generation,



code/security review, and pipeline automation.

Essential Skills & Experience

- 5+ years' experience in DevOps, Cloud Engineering, or a related role.
- Strong hands-on experience with AWS , particularly EC2, VPC, IAM, S3, CloudWatch, and EKS .
- Robust Terraform and Infrastructure as Code experience.
- Hands-on experience with Kubernetes and Docker .
- Experience with CI/CD , scripting, and automation using Bash, Python , or similar.
- Working knowledge of Microsoft Azure .
- Strong understanding of cloud networking, security, IAM, and cost optimization.
- Strong troubleshooting, problem-solving, and communication skills.
- Experience applying AI/LLM tools to DevOps workflows , including MCP or similar AI integration frameworks .

Desirable Skills

- Prometheus, Grafana, ELK , or cloud-native monitoring/logging tools.
- ArgoCD, Flux , or other GitOps tools.
- AWS CloudFormation or other IaC technologies.
- Experience building AI-powered automation for code review, IaC, configuration management, or security .
- Relevant certifications such as AWS Solutions Architect, CKA, or Azure Fundamentals .

📌 Senior AWS DevOps Engineer – AI Automation (Sydney)
🏢 Recmatrix Consulting
📍 Sydney