Senior AWS Cloud Platform Engineer - Data Transformation

Novon; Sydney; On-site; AUD 180,000 - 240,000; Full time

Benefits offered by this job

Study Leave

Paid Parental Leave

Job summary

Novon is seeking a Senior Cloud Platform Engineer (AWS) to design, build and operate the AWS-based data platform for a major client. You will implement IaC with Terraform, create CI/CD pipelines, and ensure secure, governed deployments across serverless and Kubernetes components.

You will collaborate with Data Engineers to enable fast delivery of data products and improve platform reliability, scalability and observability while continually learning in a supportive environment.

Qualifications

• AWS infrastructure engineering experience with hands-on design and operation.
• Proficient in S3, Redshift, Lambda and Glue Data Catalog usage.
• Infrastructure as Code using Terraform; secure, repeatable deployments.
• Experience building CI/CD pipelines and reducing deployment friction.

Responsibilities

• Design, build and operate the AWS platform supporting the client’s data platform.
• Develop IaC using Terraform across AWS serverless environments.
• Build and maintain CI/CD pipelines to automate deployments.
• Implement secure deployment processes aligned with governance.
• Support Kubernetes components while focusing on AWS services.

Skills

AWS infrastructure

S3

Redshift

Lambda

Terraform

CI/CD

GitHub Actions

GitLab CI

Jenkins

Python

Bash

Kubernetes

Argo

Serverless AWS

IAM & Networking

Monitoring

Observability

Tools

Terraform

GitHub Actions

GitLab CI

Jenkins

Kubernetes

Argo

CI/CD tooling

Python

Bash

Job description

Novon is seeking a Senior Cloud Platform Engineer (AWS) to design, build and operate the AWS-based data platform for a major client. You will implement IaC with Terraform, create CI/CD pipelines, and ensure secure, governed deployments across serverless and Kubernetes components.

You will collaborate with Data Engineers to enable fast delivery of data products and improve platform reliability, scalability and observability while continually learning in a supportive environment.