DevOps Engineer

Nityo Infotech Limited; Sydney; On-site; AUD 140,000 - 170,000; Full time

Job summary

Nityo Infotech Limited is seeking a senior Cloud Engineer/DevOps professional to design, deploy, and manage scalable cloud infrastructure on AWS, leveraging Terraform for IaC and overseeing EKS clusters. You will automate provisioning, configuration, and deployments while collaborating with security and development teams to enforce best practices.

The role emphasizes AI-assisted automation for infrastructure tasks and integration of container orchestration, with strong focus on monitoring, cost

Qualifications

• 5+ years of professional experience in cloud engineering or DevOps roles.
• Proven expertise in AWS services including EC2, VPC, IAM, S3, CloudWatch, and EKS.
• Strong Terraform experience for infrastructure as code.
• Experience with CI/CD pipelines, scripting (Bash, Python), and config management tools.

Responsibilities

• Design, deploy, and manage scalable cloud infrastructure on AWS with Terraform.
• Build and maintain EKS Kubernetes clusters on AWS.
• Automate provisioning, configuration management, and deployments.

Skills

AWS

Terraform

Kubernetes

CI/CD

Scripting

Tools

Docker

Kubernetes

Prometheus

Grafana

ArgoCD

CloudFormation

Job description

• 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.
• Strong 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.