One of our closest federal government clients is seeking a
Senior Platform Engineer
to contribute to the implementation and ongoing evolution of an AI Platform Capability. This role will work closely with architecture, security, and delivery teams to build, automate, and operate platform services that enable secure, scalable, and cost-effective adoption of AI capabilities across the organisation.
BASELINE SECUIRTY CLEARANCE REQUIRED
The successful candidate will:
Design, build and maintain platform services, automation, and integration components aligned with organisational strategies and architectural direction.
Implement and maintain security controls, guardrails, and policy-as-code to ensure compliance with organisational policies and industry security frameworks.
Build and support platform capabilities that promote operational simplicity, self-service, and a positive developer experience.
Develop and maintain Infrastructure as Code (IaC), CI/CD pipelines, and automated deployment patterns to enable consistent and repeatable platform delivery.
Collaborate with architecture, security, and product teams to translate requirements into scalable and supportable platform solutions.
Implement and operate cost-management controls, monitoring, and optimisation practices to support efficient cloud consumption.
Build and maintain standardised platform patterns, reusable modules, and "golden path" solutions that accelerate onboarding and delivery team adoption.
Support AI platform workloads through the implementation of controls and patterns relating to data security, model lifecycle management, service isolation, observability, and responsible AI practices.
Troubleshoot complex platform issues, identify root causes, and drive continuous improvement across platform reliability, performance, and security.
Contribute to platform roadmaps, technical standards, and engineering best practices.
One of our closest federal government clients is seeking a
Senior Platform Engineer
to contribute to the implementation and ongoing evolution of an AI Platform Capability. This role will work closely with architecture, security, and delivery teams to build, automate,



and operate platform services that enable secure, scalable, and cost-effective adoption of AI capabilities across the organisation.
BASELINE SECUIRTY CLEARANCE REQUIRED
The successful candidate will:
Design, build and maintain platform services, automation, and integration components aligned with organisational strategies and architectural direction.
Implement and maintain security controls, guardrails, and policy-as-code to ensure compliance with organisational policies and industry security frameworks.
Build and support platform capabilities that promote operational simplicity, self-service, and a positive developer experience.
Develop and maintain Infrastructure as Code (IaC), CI/CD pipelines, and automated deployment patterns to enable consistent and repeatable platform delivery.
Collaborate with architecture, security, and product teams to translate requirements into scalable and supportable platform solutions.
Implement and operate cost-management controls, monitoring, and optimisation practices to support efficient cloud consumption.
Build and maintain standardised platform patterns, reusable modules, and "golden path" solutions that accelerate onboarding and delivery team adoption.
Support AI platform workloads through the implementation of controls and patterns relating to data security, model lifecycle management, service isolation, observability, and responsible AI practices.
Troubleshoot complex platform issues, identify root causes, and drive continuous improvement across platform reliability, performance, and security.
Contribute to platform roadmaps, technical standards, and engineering best practices.
Our Ideal candidate:
Demonstrated experience engineering and operating cloud platforms used by multiple product or application teams.




Solid hands-on experience in AWS and/or Azure, including:
Networking (segmentation, routing, private connectivity, DNS)
Identity and access management (federation, IAM/RBAC, least privilege, privileged access)
Security services (KMS/Key Vault, encryption, secrets management, certificate management)
Logging, monitoring, alerting, and observability practices
Proven experience developing and managing Infrastructure as Code using tools such as Terraform, AWS CloudFormation, Bicep, or equivalent.
Strong experience building and maintaining CI/CD pipelines, deployment automation, and platform engineering toolchains.
Demonstrated experience implementing security requirements through automated controls, policy-as-code, and cloud-native security services.
Ability to evaluate cloud services and implement fit-for-purpose solutions while considering scalability, resilience, operational supportability, and cost.
Experience operating and supporting production cloud workloads, including incident response, problem management, and continuous improvement activities.
Experience implementing platform patterns for developer self-service, environment provisioning, and workload onboarding.
Ability to produce technical documentation, operational runbooks, architecture decision records, and assurance artefacts suitable for governance and audit purposes.
Strong troubleshooting and problem-solving skills, with the ability to work across multiple teams and technology domains.
Effective communication skills, including the ability to explain technical concepts to both technical and non-technical stakeholders.
Experience working within multidisciplinary delivery teams to ensure solutions are implemented, supported, and operated successfully in production environments.
Desirable:
Experience building or supporting large scale internal platforms and cloud-native data services.
Experience with FinOps, cloud cost optimisation, and consumption governance.
Knowledge of Australian Government or enterprise security and compliance frameworks.
Relevant AWS and/or Microsoft Azure certifications.
#J-*****-Ljbffr

📌 Senior Platform Engineer (Melbourne)
🏢 MTP Services
📍 Melbourne