Senior DevOps Engineer – AWS, Kubernetes & AI Automation

Job Title: Senior DevOps Engineer – AWS, Kubernetes & AI Automation
Location: Sydney

Job description:

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.
• 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.

About Us:

We are Delivery Centric, a dynamic technology company that is transforming the delivery of cloud implementations and cybersecurity. We are headquartered in Australia with a global presence. We are tenacious, future-thinking, and highly driven to achieve an ambitious vision to be the leading global provider of innovative technologies for companies that keep our world clean, safe, and secure.

Our fast-paced and supportive environment will offer you lots of benefits, including a competitive salary, a friendly team, a healthy work environment, and opportunities for training and development.

Please contact us at [email protected] for additional details

Job Type: Full-time

Work Authorisation:

• Australia (Preferred)

Work Location: In person