24 Sep
|
Delivery Centric
|
Sydney
24 Sep
Delivery Centric
Sydney
Location: Sydney
Delivery Centric is seeking a Senior AWS Cloud & DevOps Engineer with solid hands-on experience in AWS, Terraform, Kubernetes and EKS. The role will focus on designing and managing scalable cloud infrastructure, infrastructure automation,container platforms and CI/CD environments. The successful candidate will also contribute to cloud optimisation, security, troubleshooting and the adoption of AI-assisted automation across DevOps workflows.
Key Responsibilities
Design, deploy and manage scalable cloud infrastructure on AWS using Terraform and Infrastructure as Code (IaC).
Build, configure and maintain Kubernetes environments, with strong hands-on experience in Amazon EKS.
Automate infrastructure provisioning, configuration management and application deployments.
Develop and maintain CI/CD pipelines and DevOps automation.
Monitor cloud infrastructure health, performance and availability, and implement improvements where required.
Troubleshoot and provide operational support for cloud-native and Kubernetes environments.
Work closely with development, DevOps and security teams to implement cloud and DevOps best practices.
Contribute to cloud architecture, infrastructure and container platform design decisions.
Implement networking, security, reliability and cost-optimisation best practices across AWS environments.
Maintain technical documentation covering infrastructure, configurations, standards and operational procedures.
Support occasional cloud projects and deployments in Microsoft Azure.
Explore and implement AI-assisted automation for infrastructure and DevOps activities, including IaC generation, code review, security checks and pipeline automation.
Requirements
5+ years of professional experience in Cloud Engineering, DevOps or a similar role.
Strong hands-on experience with AWS, particularly EC2, VPC, IAM, S3, CloudWatch and EKS .
Strong experience with
Terraform and Infrastructure as Code .
Hands-on experience with
Kubernetes and Docker .
Experience building and maintaining CI/CD pipelines .
Scripting experience with
Bash, Python or similar .
Working knowledge of Microsoft Azure and core cloud concepts.
Robust understanding of cloud networking, security, availability and cost optimisation.
Experience troubleshooting production cloud and Kubernetes environments.
Ability to work independently and collaborate effectively with development, security and technical teams.
Exposure to
AI/LLM tooling, MCP or AI-assisted DevOps automation
is highly desirable.
Preferred Qualifications
AWS Certified Solutions Architect or equivalent AWS certification.
Experience with monitoring and logging tools such as Prometheus, Grafana, ELK or AWS-native monitoring tools .
Exposure to GitOps tools such as ArgoCD or Flux .
Familiarity with AWS CloudFormation or other IaC technologies.
Experience integrating AI/LLM tools into DevOps workflows.
Experience building AI-assisted solutions for IaC generation, code review, security analysis or configuration management .
Role Title: Senior DevOps Engineer – AWS, Kubernetes & AI Automation Location: Sydney
Delivery Centric is seeking a Senior AWS Cloud & DevOps Engineer with strong hands-on experience in AWS, Terraform, Kubernetes and EKS. The role will focus on designing and managing scalable cloud infrastructure, infrastructure automation,container platforms and CI/CD environments. The successful candidate will also contribute to cloud optimisation, security, troubleshooting and the adoption of AI-assisted automation across DevOps workflows.
Key Responsibilities
Design, deploy and manage scalable cloud infrastructure on AWS using Terraform and Infrastructure as Code (IaC).
Build, configure and maintain Kubernetes environments, with strong hands-on experience in Amazon EKS.
Automate infrastructure provisioning, configuration management and application deployments.
Develop and maintain CI/CD pipelines and DevOps automation.
Monitor cloud infrastructure health, performance and availability, and implement improvements where required.
Troubleshoot and provide operational support for cloud-native and Kubernetes environments.
Work closely with development, DevOps and security teams to implement cloud and DevOps best practices.
Contribute to cloud architecture, infrastructure and container platform design decisions.
Implement networking, security, reliability and cost-optimisation best practices across AWS environments.
Maintain technical documentation covering infrastructure, configurations, standards and operational procedures.
Support occasional cloud projects and deployments in Microsoft Azure.
Explore and implement AI-assisted automation for infrastructure and DevOps activities, including IaC generation, code review, security checks and pipeline automation.
Requirements
5+ years of professional experience in Cloud Engineering, DevOps or a similar role.
Strong hands-on experience with AWS, particularly EC2, VPC, IAM, S3, CloudWatch and EKS .
Strong experience with
Terraform and Infrastructure as Code .
Hands-on experience with
Kubernetes and Docker .
Experience building and maintaining CI/CD pipelines .
Scripting experience with
Bash, Python or similar .
Working knowledge of Microsoft Azure and core cloud concepts.
Strong understanding of cloud networking, security, availability and cost optimisation.
Experience troubleshooting production cloud and Kubernetes environments.
Ability to work independently and collaborate effectively with development, security and technical teams.
Exposure to
AI/LLM tooling, MCP or AI-assisted DevOps automation
is highly desirable.
Preferred Qualifications
AWS Certified Solutions Architect or equivalent AWS certification.
Certified Kubernetes Administrator (CKA) or equivalent Kubernetes experience.
Microsoft Azure certification such as Azure Fundamentals.
Experience with monitoring and logging tools such as Prometheus, Grafana, ELK or AWS-native monitoring tools .
Exposure to GitOps tools such as ArgoCD or Flux .
Familiarity with AWS CloudFormation or other IaC technologies.
Experience integrating AI/LLM tools into DevOps workflows.
Experience building AI-assisted solutions for IaC generation, code review, security analysis or configuration management .
#J-18808-Ljbffr
📌 Senior DevOps Engineer – AWS, Kubernetes & AI Automation (Sydney)
🏢 Delivery Centric
📍 Sydney