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 to join a high-performing Networks Data & Analytics team.
This is a hands-on role focused on building, supporting, and evolving a large-scale cloud-native data platform hosted on Google Cloud Platform (GCP). You will play a key role in designing platform capabilities, building CI/CD pipelines from the ground up, implementing Infrastructure as Code, improving observability, and ensuring platform security and reliability across enterprise-scale environments.
The ideal candidate will bring strong platform engineering experience, a passion for automation, and a proven track record of building reusable frameworks, tooling, and cloud-native solutions from scratch.
Key Responsibilities
Design and build CI/CD pipelines from scratch, including webhook triggers, branch protection, approval gates, rollback mechanisms, and multi-environment promotion processes.
Develop reusable platform frameworks, shared tooling, templates, and engineering components used across multiple teams.
Build and maintain Infrastructure as Code (IaC) solutions using Terraform.
Design and deliver metadata-driven ingestion frameworks and modular platform capabilities.
Support large-scale cloud-native data platforms running on Google Cloud Platform.
Drive observability initiatives through monitoring, alerting, dashboards, pipeline health checks, and platform reporting using Dynatrace and related tools.
Support onboarding of new teams and workloads, including IAM provisioning, security scanning, connectivity requests, and access management.
Implement and maintain platform security controls, ensuring compliance with enterprise standards and vulnerability management requirements.
Manage security tooling and controls including MFA, encryption, PAM/PIAM, vulnerability scanning, and platform governance processes.
Support network connectivity requirements including firewall rules, routing, SFTP integrations, proxy configurations, and cross-platform communication.
Troubleshoot platform, infrastructure, and deployment issues while driving continuous improvement initiatives.
Contribute to platform standardisation, automation, operational excellence, and engineering best practices.
Support event-driven and streaming architectures across enterprise data platforms.
What You'll Need
Experience in Platform Engineering, Cloud Engineering, DevOps, Infrastructure Engineering, or a similar role.
Proven experience designing and building CI/CD pipelines from scratch using GitLab CI, Cloud Build, Jenkins, or similar technologies.
Demonstrated experience developing reusable platform frameworks, templates, shared tooling, and engineering accelerators.
Strong hands-on experience with Infrastructure as Code using Terraform.
Experience supporting enterprise-scale cloud platforms within Google Cloud Platform environments.
Strong experience with GCP services including:
Cloud Composer (Airflow)
BigQuery
Pub/Sub
Cloud Run and Cloud Functions
Artifact Registry
Secret Manager
Experience implementing platform observability solutions using Dynatrace or similar monitoring platforms.
Experience supporting platform onboarding activities including IAM, access provisioning, security scanning, and connectivity requirements.
Strong understanding of cloud security principles, vulnerability management, access controls, encryption, and governance frameworks.
Knowledge of networking concepts including firewall rules, proxy configurations, routing, and secure data transfer mechanisms.
Strong troubleshooting, problem-solving, and stakeholder engagement skills.
Excellent communication skills and the ability to collaborate across technical and business teams.
Desirable Skills
Experience with Kafka, Confluent Kafka, or other event-streaming platforms.
Knowledge of SFTP integrations and enterprise connectivity solutions.
Experience with Docker, Kubernetes, and containerised environments.
Experience supporting enterprise-scale data and analytics platforms.
Familiarity with release management, environment promotion processes, and platform governance frameworks.
Experience working within large-scale cloud transformation and modernisation programs.
Why Join Us?
Work on a large-scale cloud-native data platform supporting enterprise analytics and operational 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, security, and data engineering teams.
Join a consulting culture focused on innovation, technical excellence, and continuous improvement.
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