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Key Responsibilities:
Design, deploy, and manage scalable cloud infrastructure on AWS using Terraform (Infrastructure as Code).
Build and maintain Kubernetes clusters on AWS using EKS.
Automate provisioning, configuration management, and application deployments.
Monitor cloud infrastructure health and performance, and implement improvements as needed.
Collaborate with DevOps, development, and security teams to build CI/CD pipelines and enforce best practices.
Provide operational support and troubleshooting of cloud-native environments.
Contribute to architecture and design decisions around cloud and container orchestration.
Maintain documentation related to system configuration, standards, and best practices.
Assist with occasional projects or deployments in Microsoft Azure environments.
Build and maintain AI-assisted automation for infrastructure and pipeline tasks (e.g., AI-driven IaC generation, automated code/security review).
Requirements:
5+ years
of professional experience in cloud engineering or DevOps roles.
Proven expertise in
AWS
services including EC2, VPC, IAM, S3, CloudWatch, and especially
EKS
.
Solid experience in
Terraform




for managing infrastructure as code.
Familiarity with
CI/CD pipelines
, scripting (e.g., Bash, Python), and configuration management tools.
Working knowledge of
Azure
cloud fundamentals and services.
Experience with
Docker
,
Kubernetes
, and container orchestration.
Solid understanding of networking, security best practices, and cost optimization in cloud environments.
Excellent problem-solving skills and ability to work independently or in a team.
Experience integrating AI/LLM tooling into DevOps workflows (e.g., MCP servers, AI-assisted pipelines).
Preferred Qualifications:
Certifications such as
AWS Certified Solutions Architect
,
Certified Kubernetes Administrator (CKA)
, or
Microsoft Azure Fundamentals
.
Experience with monitoring/logging tools like Prometheus, Grafana, ELK stack, or Cloud-native alternatives.
Exposure to GitOps tools (e.g., ArgoCD, Flux) is a plus.
Familiarity with other IAC tools like CloudFormation
Exposure to Model Context Protocol (MCP) or similar AI-tool integration frameworks.
Experience building AI-powered automation for code review, IaC generation, or config management.
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📌 Senior Devops Engineer – Aws, Kubernetes & Ai Automation (Sydney)
🏢 HCLTech
📍 Sydney