- Build CI/CD pipelines and reusable platform frameworks.
- Deliver Terraform-based cloud infrastructure on GCP.
- Drive platform security, observability, and automation.
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.
