GCP Data & MLOps Engineer — Remote Cloud Security

Showtime Consulting Pty Ltd; Canberra; On-site; AUD 140,000 - 190,000; Full time

Benefits offered by this job

Remote-friendly roles

Professional development support

Competitive salary

Job summary

Showtime Consulting Pty Ltd is seeking an experienced GCP Data & MLOps Engineer to design, deliver, and operate data, AI/ML, and cloud-native solutions. You will work across data pipelines, model lifecycle, automation, and platform development on GCP.

You will collaborate on Dataflow, Kubeflow, BigQuery, Django-based apps, and CI/CD pipelines, while applying DevOps/MLOps best practices in a fast-paced, defence-conscious environment.

Qualifications

• Strong hands-on experience with Google Cloud Platform.
• Experience developing data pipelines using Dataflow and Apache Beam.
• Strong Python development skills and experience building reusable Python libraries.
• Experience working with BigQuery for data extraction, preprocessing, and scheduling.
• Experience building Dataflow Flex Template Frameworks is highly regarded.
• Experience delivering AI-based solutions on GCP is advantageous.
• Strong understanding of DevOps and MLOps practices.
• Experience designing and implementing Kubeflow Pipelines is highly regarded.
• Experience with GCP Model Registry and model lifecycle management is advantageous.
• Experience developing REST APIs and microservices.
• Experience with Python Django application development is highly regarded.
• Experience deploying and managing Cloud Run and Cloud Functions.
• Experience with automated CI/CD pipelines using Cloud Build.
• Knowledge of Secret Manager, Cloud KMS, and cloud security practices is advantageous.
• Experience with R Shiny dashboards is highly regarded.
• Strong understanding of cloud-native application development and platform automation.
• Strong analytical, troubleshooting, and performance optimisation skills.
• Good communication skills across technical and business teams.

Responsibilities

• Design, build, and maintain data pipeline frameworks using Google Cloud Platform.
• Develop customised data pipeline solutions using Dataflow and Apache Beam.
• Build and maintain Dataflow Flex Template Frameworks and reusable Python libraries.
• Develop scalable data processing and transformation solutions using Python and BigQuery.
• Perform BigQuery data extraction, preprocessing, and automated job scheduling.
• Design and implement Kubeflow Pipelines for automated ML pipeline creation and deployment.
• Support AI/ML solution delivery across GCP-based platforms and services.
• Implement DevOps and MLOps practices across the data and machine learning lifecycle.
• Manage model lifecycle, maintenance, and governance using GCP Model Registry.
• Enable continuous deployment of Django applications on Google Cloud Platform.
• Automate deployment and management of Cloud Run services and Cloud Functions.
• Implement CI/CD pipelines using Cloud Build and related GCP tooling.
• Develop REST API-based microservices to support platform and application integration.
• Implement security services including Secret Manager and Cloud KMS.
• Build dashboards and web applications using Python Django and R Shiny.
• Optimise application code, data pipelines, and technical deliverables to improve performance.

Skills

Google Cloud Platform

Dataflow

Apache Beam

Python

DevOps/MLOps

Kubeflow

BigQuery

REST APIs

Django

Cloud Run

Cloud Functions

Cloud Build

Secret Manager

Cloud KMS

R Shiny

Cloud-native development

Tools

Dataflow Template Frameworks

Kubernetes

Git

Job description

Showtime Consulting Pty Ltd is seeking an experienced GCP Data & MLOps Engineer to design, deliver, and operate data, AI/ML, and cloud-native solutions. You will work across data pipelines, model lifecycle, automation, and platform development on GCP.

You will collaborate on Dataflow, Kubeflow, BigQuery, Django-based apps, and CI/CD pipelines, while applying DevOps/MLOps best practices in a fast-paced, defence-conscious environment.