GCP Data & AI/MLOps Engineer
Showtime Consulting Pty Ltd
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Benefits offered by this job
Job summary
Showtime Consulting Pty Ltd is hiring a GCP Data & MLOps Engineer to design, develop and operate data, AI/ML and cloud-native platform solutions. You’ll work across data pipelines, model lifecycle, automation, dashboards, and REST APIs to support scalable outcomes.
The role requires hands-on GCP experience, Dataflow/Beam, Python, BigQuery and DevOps/MLOps practices, with remote-friendly and hybrid work options in Australia.
Qualifications
- Hands-on experience with Google Cloud Platform and data engineering.
- Proficiency in building data pipelines with Dataflow and Apache Beam.
- Strong Python development skills and ability to create reusable libraries.
- Experience with BigQuery data extraction, preprocessing and scheduling.
- Experience delivering AI-based solutions on GCP is advantageous.
- Knowledge of DevOps and MLOps practices and CI/CD.
- Familiarity with Kubeflow Pipelines for ML workflows.
- Experience deploying dashboards with R Shiny or Django.
- Experience deploying cloud-native apps with Cloud Run/Functions and Cloud Build.
Responsibilities
- Design, develop, and maintain data pipelines on GCP.
- Build scalable data processing and ML workflows using Dataflow, Beam, Python, and BigQuery.
- Create Kubeflow Pipelines for automated ML deployments.
- Deliver AI-enabled solutions and manage model lifecycle and governance.
- Implement CI/CD, automation, monitoring across data and ML stacks.
- Develop REST APIs and web apps for platform management and integration.
- Deploy dashboards using R Shiny or Python Django.
- Collaborate with cross-functional teams to modernise cloud platforms.
Skills
Tools
Job description
At Showtime Consulting, we don't just build ultra-secure cloud solutions- we enable organisations to thrive in the most challenging high-threat environments. If you're truly passionate about innovation, security, and making a real impact, you're in the right place.
We deliver security where it matters most-protecting national infrastructure, defence, and mission-critical operations. Our solutions are trusted by leading organisations, and our team is at the forefront of innovation in ultra-secure cloud and cross-domain security.
At Showtime Consulting, we don't just build ultra-secure cloud solutions- we enable organisations to thrive in the most challenging high-threat environments. If you're truly passionate about innovation, security, and making a real impact, you're in the right place.
We deliver security where it matters most-protecting national infrastructure, defence, and mission-critical operations. Our solutions are trusted by leading organisations, and our team is at the forefront of innovation in ultra-secure cloud and cross-domain security.
Our people are specialists in secure cloud, defence technology, and insider risk mitigation. We thrive in high-stakes environments, where cybersecurity isn't just a requirement-it's mission-critical. If you're ready to contribute to industry-leading projects and grow in a company that values trust, innovation, and resilience, explore our open roles today.
Principal Cloud Consultant
Resource and Operations Manager at Showtime Consulting
People Operations Lead
Associate Consultant at Showtime Consulting Bachelor of Information Technology Student
CEO at Showtime Consulting | Expert in Ultra-Secure Cloud, Cross-Domain Solutions, Insider Risk Management & Defence-Grade Cybersecurity
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, infrastructure, cybersecurity, DevSecOps, software engineering, data, AI/ML, and digital transformation programs.
We partner with government and enterprise organisations to build high-performing technology teams that deliver secure, scalable, and future-ready solutions within complex technology environments.
The Role
We are seeking an experienced GCP Data & MLOps Engineer to support the design, development, and delivery of modern data, AI/ML, and cloud-native platform solutions.
This role is suited to a hands-on engineer with strong experience across Google Cloud Platform, Dataflow, Apache Beam, BigQuery, Kubeflow, Python, Django, and DevOps/MLOps practices. You will work across data pipeline development, AI solution delivery, model lifecycle management, cloud automation, dashboard deployment, and application development to support scalable and efficient platform outcomes.
Key Responsibilities
- Design, build, and maintain customised data pipeline frameworks using Google Cloud Platform.
- Develop scalable data processing solutions using Dataflow, Apache Beam, Python, and BigQuery.
- Build and maintain Dataflow Flex Template Frameworks and domain-specific Python libraries.
- Perform BigQuery data extraction, preprocessing, and automated job scheduling.
- Design and implement Kubeflow Pipelines for automated ML pipeline creation and deployment.
- Deliver AI-based solutions on the GCP platform.
- Apply DevOps and MLOps practices across the data and machine learning lifecycle.
- Implement automation and monitoring across data flows, ML systems, and cloud services.
- Manage model lifecycle, maintenance, and governance using GCP Model Registry.
- Enable continuous deployment of Django applications on GCP.
- Automate deployment and management of Cloud Run services and Cloud Functions.
- Implement automated CI/CD pipelines using Cloud Build.
- Develop REST API-based microservices to support platform and application integration.
- Implement Secret Manager and Cloud KMS, including deterministic encryption.
- Develop customised web applications for AI Platform resource creation and management.
- Deploy and maintain dashboards using R Shiny and Python Django.
- Optimise application code, data pipelines, and technical deliverables to improve performance and efficiency.
What You'll Need
- Strong hands-on experience with Google Cloud Platform.
- Experience developing customised data pipelines using Dataflow and Apache Beam.
- Strong Python development skills, including experience building reusable Python libraries.
- Experience working with BigQuery for data extraction, preprocessing, and automated 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 applying DevOps methodologies to machine learning systems.
- Experience designing and implementing Kubeflow Pipelines is highly regarded.
- Experience with GCP Model Registry and model lifecycle management is advantageous.
- Experience developing microservices using REST APIs.
- Experience with Python Django application development is highly regarded.
- Experience automating Cloud Run and Cloud Functions deployments.
- Experience with automated Cloud Build implementations.
- Knowledge of Secret Manager, Cloud KMS, and deterministic encryption is advantageous.
- Experience deploying dashboards using R Shiny or Python Django is highly regarded.
- Experience developing customised web applications for AI platform resource management is advantageous.
- Strong understanding of cloud-native application development and platform automation.
- Strong analytical, troubleshooting, optimisation, and problem-solving skills.
- Good communication skills with the ability to work across technical and business teams.
Why Join Us?
- Work on modern GCP-based data, AI/ML, and platform engineering solutions.
- Build scalable cloud-native data pipelines and machine learning workflows.
- Gain exposure to Dataflow, Apache Beam, Kubeflow, BigQuery, and MLOps practices.
- Contribute to automation, CI/CD, dashboarding, and cloud platform modernisation initiatives.
- Collaborate with experienced cloud, data, software engineering, and delivery teams.
- Join a consulting culture focused on innovation, technical excellence, and continuous improvement.
Build solutions that protect defence, national security, and enterprise clients.
Attractive salary packages, incentives, and professional development support.
A collaborative, high-trust workplace where innovation thrives
Access to cybersecurity certifications, mentoring, and growth opportunities.
Remote-friendly roles and adaptable work environments.
Work on Mission-Critical Projects
Build solutions that protect defence, national security, and enterprise clients.
Flexibility & Work-Life Balance
Remote-friendly roles and adaptable work environments.
Access to cybersecurity certifications, mentoring, and growth opportunities.
Attractive salary packages, incentives, and professional development support.
Strong Team Culture
A collaborative, high-trust workplace where innovation thrives
Essential for protecting sensitive information and ensuring the company's technology cannot be compromised.
Critical for building trust with stakeholders and maintaining ethical standards in all operations, especially in such sensitive sectors.
Necessary for staying ahead of technological advancements and threats, ensuring solutions are cutting-edge and effective.
Demonstrates dedication to the mission, the safety and security of clients’ data, and the success of their operations.
Important for providing reliable and consistent service, which is crucial for defence and intelligence operations that depend on continuity and dependability.
Fuels the drive to excel, innovate, and overcome challenges. It's the emotional investment in the mission and the work, which can inspire teams and lead to exceptional outcomes.
Essential for protecting sensitive information and ensuring the company's technology cannot be compromised.
Critical for building trust with stakeholders and maintaining ethical standards in all operations, especially in such sensitive sectors.
Necessary for staying ahead of technological advancements and threats, ensuring solutions are cutting-edge and effective.
Demonstrates dedication to the mission, the safety and security of clients’ data, and the success of their operations.
Important for providing reliable and consistent service, which is crucial for defence and intelligence operations that depend on continuity and dependability.
Fuels the drive to excel, innovate, and overcome challenges. It's the emotional investment in the mission and the work, which can inspire teams and lead to exceptional outcomes.
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