Company Description
Showtime Consulting is a leading provider of Shielded Cloud and Digital Solutions across Australia and New Zealand. We specialise in delivering secure, enterprise-scale technology solutions across cloud, data, DevSecOps, platform engineering, and digital transformation programs.
We partner with major organisations to build high-performing technology teams and deliver innovative cloud-native solutions that improve reliability, scalability, security, and operational efficiency.
The Role
We are seeking an experienced Platform Engineer (GCP) to join a high-performing Data & Analytics team based in Sydney.
This is a hands-on role focused on building, supporting, and evolving a large-scale cloud-native platform hosted on Google Cloud Platform (GCP). You will play a key role in developing platform capabilities, automating delivery pipelines, implementing infrastructure as code, and improving operational visibility across enterprise-scale data services.
The ideal candidate will bring strong platform engineering experience, a passion for automation, and a proven track record of building reusable frameworks and tooling from the ground up.
Key Responsibilities
Design and build CI/CD pipelines from scratch, including trigger configuration, branch strategies, approval workflows, rollback mechanisms, and multi-environment deployment processes.
Develop reusable platform frameworks, shared tooling, templates, and platform components used by engineering teams.
Build and maintain Infrastructure as Code (IaC) solutions using Terraform.
Support large-scale cloud-native platforms running on Google Cloud Platform.
Develop and maintain metadata-driven ingestion frameworks and modular infrastructure solutions.
Drive observability initiatives through monitoring, alerting, dashboards, and platform health reporting.
Support onboarding of new teams and workloads onto the platform, including access management, security controls, connectivity, and infrastructure provisioning.
Implement and maintain security controls across platform services and cloud environments.
Collaborate with data, engineering, security, and infrastructure teams to deliver scalable and reliable platform capabilities.
Contribute to platform standardisation, automation, and continuous improvement initiatives.
What You'll Need
5–10 years of experience in Platform Engineering, Cloud Engineering, DevOps, or a similar role.
Strong hands-on experience building CI/CD pipelines from scratch using GitLab CI, Cloud Build, or similar platforms.
Proven experience designing and building reusable platform frameworks, templates, shared libraries, and engineering tooling.
Strong experience with Infrastructure as Code using Terraform.
Hands-on experience with Google Cloud Platform services including Cloud Composer (Airflow), BigQuery, Pub/Sub, Cloud Run and Cloud Functions, Artifact Registry and Secret Manager
Experience implementing platform observability using Dynatrace or similar monitoring solutions.
Experience designing and managing platform onboarding processes, including IAM, access management, security scanning, and connectivity requirements.
Strong understanding of cloud security principles and vulnerability management practices.
Experience working with CI/CD automation, DevOps methodologies, and modern cloud-native environments.
Knowledge of networking concepts, firewall rules, proxy configurations, and secure data transfer mechanisms.
Experience with event-driven architectures, Kafka, or Confluent Kafka is highly regarded.
Strong communication, troubleshooting, and stakeholder engagement skills.
Why Join Us?
Work on a large-scale cloud-native data platform supporting enterprise analytics capabilities.
Influence platform strategy, engineering standards, and cloud automation practices.
Work with modern Google Cloud technologies and enterprise-scale data services.
Collaborate with experienced cloud, platform, and data engineering teams.
Join a consulting culture focused on innovation, engineering excellence, and continuous improvement.
Be part of a team building scalable platforms that support critical business outcomes.
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