Senior DevOps Engineer — AI-Driven Cloud & Automation

Hatch; Sydney; On-site; AUD 150,000 - 190,000; Full time

Job summary

Australian Payments Plus in Sydney is seeking a Senior DevOps Engineer to design, build and continuously improve the infrastructure and pipelines that power secure, scalable software delivery in the payments environment.

This hands-on role requires expertise in automation, cloud infrastructure, deployment and observability, plus mentoring of junior engineers and responsible AI-assisted monitoring.

Qualifications

• Bachelor’s degree in engineering, Computer Science, or equivalent experience.
• 5+ years in a DevOps or equivalent engineering role, ideally in technology-driven environments (AWS preferred, GCP as secondary).
• Mastery in AI-enabled tools for software delivery and operations and their ethical, responsible application.
• Solid knowledge of cloud deployment, automation frameworks, and observability tooling.

Responsibilities

• Design, develop, test and maintain complex software components, scripts and integration services using secure and standardised engineering practices.
• Lead system integration activities across configuration, testing, fault diagnosis and deployment for reliable operation.
• Provision, configure and optimise infrastructure across physical, virtual and cloud environments with focus on performance, security and resilience.
• Build automation to remove repetitive tasks and improve deployment efficiency; mentor junior engineers.

Skills

DevOps engineering

CI/CD pipelines

Terraform

OpenTofu

CDK

Bash

Python

GoLang

Kubernetes

AWS

GCP

ArgoCD

Dynatrace

Wiz

Education

Bachelor’s degree in engineering or CS

Tools

GitLab CI

Terraform

OpenTofu

CDK

Kubernetes

Job description

Australian Payments Plus in Sydney is seeking a Senior DevOps Engineer to design, build and continuously improve the infrastructure and pipelines that power secure, scalable software delivery in the payments environment.

This hands-on role requires expertise in automation, cloud infrastructure, deployment and observability, plus mentoring of junior engineers and responsible AI-assisted monitoring.