Minimum of 1 AI Cloud Engineer Software Engineer (Developer)

Hyperion IT Pty Ltd.; Australian Capital Territory; Hybrid; AUD 120,000 - 160,000; Full time

Job summary

Services Australia is seeking an AI Cloud Engineer / Developer (APS6 equivalent) to lead complex AI/ML projects and deliver scalable, secure cloud platform solutions. You will design, implement and optimise environments across on‑premises and hybrid clouds, collaborating with data scientists, architecture, and cyber security teams.

The role requires extensive experience in AI engineering, Kubernetes, DevOps, and IaC, with a focus on secure, compliant deployments and governance.

Qualifications

• 5+ years hands-on experience as an AI engineer focusing on AI/ML platforms across on-premises, cloud and hybrid environments.
• Strong knowledge of Kubernetes, container tooling, and security practices in scalable architectures.
• Experience with DevOps, CI/CD, and Infrastructure as Code (Git, Terraform, Ansible, Argo CD).
• Proficient in Python and scripting for automation and platform tooling.
• Familiarity with AI workloads, model lifecycle, deployment, monitoring and governance.

Responsibilities

• Oversee software development projects and provide technical leadership to a team of engineers.
• Design, implement and operate greenfield and brownfield AI/ML environments across on‑premises, cloud and hybrid platforms.
• Apply secure-by-design architectures using IaC and reusable patterns to deliver scalable solutions.
• Collaborate with Data Scientists, Architecture, Cyber Security and Core data teams to establish platform capability and governance.
• Deliver go‑live support, maintenance, and proactive improvements while complying with APS policies.

Skills

AI engineering

Python

DevOps

IaC

Kubernetes

Tools

Kubernetes

Docker

Terraform

Kubeflow

Job description

Services Australia

VIC, QLD, SA, ACT Ability to obtain Baseline Hybrid Closes 13 October 2026 at 11:59pm Questions close 8 October 2026

Estimated start date 26 October 2026

Maximum candidates per seller 3

Experience level APS6 equivalent

Initial contract duration 12 months

Maximum hours 80 hours per week

Extension term 12 months

Number of extensions 2

The Labour Hire Worker is expected to work onsite for the first 2 weeks, before a hybrid flexible working arrangement can be considered. Required to be in the office a min of 2/3 days per week. A hybrid flexible working arrangement may then be considered, ensuring the Labour Hire Worker’s residing address is within reasonable travel time and distance of the RFQ location to present onsite in cases of emergency or to meet business requirements. The location is the capital city of selected states

About the Role

Software Engineers have experience overseeing software development projects, writing optimised code, and provide technical leadership to a team of software engineers. They are responsible for the quality and functionality of the software produced by their team.

Services Australia is seeking to procure AI Cloud Engineer / Developer (APS6 equivalent) with demonstratable experience with AI on-premises platforms to play a pivotal role in delivering complex application development projects on platforms across the Technology and Digital Program (TDP) Group that align with the agency’s strategic objectives. The position requires a seasoned professional with extensive experience and expertise in AI Engineering capabilities, including AI workload migrations, deployment and operations.

As an AI Cloud Engineer / Developer (APS6 equivalent), you will specialise in public cloud platform tooling, with the capability to design, implement, and optimise environments from new (greenfield) implementations as well as enhance existing setups (brownfield). This role is focused on applying secure-by-design architectures, incorporating reusable patterns and Infrastructure as Code (IaC) to deliver scalable, compliant solutions in line with APS frameworks and regulations.

You will collaborate with Data Scientists, Architecture, Cyber Security, and Core data teams in the group to establish foundational platform capability and frameworks, enforce governance, and apply best practices across networking and resource management in your primary platform.

The AI Cloud Engineer / Developer (APS6 equivalent) is expected to operate with a significant degree of independence with a high level of autonomy, while also maintaining close working relationships with key stakeholders and strict adherence to agency processes and procedures.

In performing the role, the candidate will be required to identify and drive innovation, manage and lead change, and has an active role in contributing to and implementing the agency’s strategic direction with decision-making and advice to others highly dependent on their own judgement.

The AI Cloud Engineer / Developer (APS6 equivalent) is vital in ensuring that Services Australia effectively leverages technology to enhance service delivery and meet the needs of the community

Develop, describe present and influence outcomes and/or findings across various forums.

Excellent problem-solving, communication, and leadership skills in a collaborative environment.

Duties may include some or all of the following:

• create software and technical designs for the realisation of complex development solutions


• develop high-quality code and long-term maintenance of a product's code base


• provide technical advice on software development and maintenance


• provide go-live support and maintenance for complex developments


• perform a range of analysis, design, software development, prototyping, unit testing and maintenance activities


• undertake analysis of technical requirements to support project evaluation with proposed solutions


• ensure compliance with endorsed software development methodologies


• identify, investigate, and resolve complex ICT issues


• assess, communicate, monitor, and control risk


• develop team plans and goals


• prepare draft reports and corporate documentation


• manage and prioritise own and others' workloads to meet business objectives in specified timeframes


• develop and deliver on projects within the assigned area of responsibility


• perform cost analysis activities as required


• act with integrity by promoting workplace practices aligned with the APS Values and the APS Code of Conduct


• exercise appropriate delegation in accordance with legislations and guidelines.

act with integrity by promoting workplace practices aligned with the APS Values and the APS Code of Conduct

exercise appropriate delegation in accordance with legislations and guidelines.

Technical Skills:

• 5+ years of hands-on experience as an AI Engineer, including solution design, implementation and operation of greenfield and brownfield AI/ML environments across on-premises, public cloud and hybrid platforms.


• Experience in Kubernetes including namespaces, RBAC, operators, CRDs, deployments, services, ingress/routes, secrets, config maps, workbenches, custom images, AI Pipelines/Kubeflow, model registry, model catalogue, model serving, distributed workloads and monitoring.


• Experience in containers and platform engineering, including Docker/Podman, container image creation, registries, image scanning, vulnerability management, container security and secure software supply chain practices.


• Experience in Linux administration, networking and storage, including DNS, TLS, proxies, load balancing, ingress, firewall concepts, certificates, scripting and connectivity between on-premises and cloud environments.


• Experience in DevOps, CI/CD and Infrastructure as Code, including Git, GitLab/GitHub/Azure DevOps, Tekton, GitOps/Argo CD, Terraform and/or Ansible, and automated build, test and deployment pipelines.


• Experience in Python and scripting for automation, AI/ML integration, APIs, platform tooling and operational support.


• Experience in AI/ML engineering and MLOps, including model lifecycle management, training, inference, evaluation, registration, deployment, monitoring, model optimisation and automated model build-and-release processes.


• Experience in LLM and Generative AI tooling, including vLLM/TGI or equivalent, Hugging Face, LLM APIs, embeddings, Retrieval-Augmented Generation, vector databases, prompt/evaluation tooling, AI agents and foundation models.


• Experience in APIs and enterprise integration, including REST APIs, authentication, OAuth/OIDC, API gateways, service-to-service integration, streaming platforms, data lakes and feature stores.


• Experience in cloud platforms and cloud AI services, including practical experience in at least one of AWS, or Azure, and preferably two, with exposure to SageMaker or Azure AI/ML.


• Experience in object storage and data management for pipelines, models and datasets.


• Experience in observability and operational monitoring, including AWS CloudWatch or Azure Application Insights, logs, metrics, tracing and model/application monitoring.


• Experience in security, governance and compliance, including RBAC, secrets, certificates, network policies, vulnerability scanning, DevSecOps, data sovereignty, security classifications, privacy obligations and Australian Government regulatory requirements.


• Experience applying FinOps practices, including cost transparency, usage optimisation and financial governance for cloud and AI workloads.


• Experience applying architecture principles and enterprise technologies to translate complex technical requirements into scalable, sustainable and supportable solutions.


• Proven ability to articulate complex technical concepts clearly, facilitate stakeholder discussions and drive consensus on alignment with project and organisational goals.

Requirements

Criteria

The buyer has specified that each candidate must provide a one page pitch to address all criteria specified. This is equal to 5000 characters.

Provides advice and guidance to support the adoption of methods and tools and adherence to policies and standards. Tailors processes in line with agreed standards and evaluation of methods and tools. Reviews and improves usage and application of methods and tools.

Designs, codes, verifies, tests, documents, amends and refactors complex programs/scripts and integration software services. Contributes to the selection of the software development methods, tools and techniques. Applies agreed standards and tools to achieve well-engineered outcomes. Participates in reviews of own work and leads reviews of colleagues' work.

Assesses and analyses release components for input to release scheduling. Maintains and administers tools and methods for software delivery, deployment and configuration. Maintains release processes and procedures.

Designs, verifies, documents, amends and refactors complex software configurations for deployment. Contributes to the selection of the software configuration methods, tools and techniques. Applies agreed standards and tools, to achieve well-engineered outcomes. Participates in reviews of own work and leads reviews of colleagues' work.

Undertakes complete design of moderately complex software applications or components. Applies agreed standards, guidelines, patterns and tools. Assists as part of a team in the design of components of larger software systems. Specifies user and/or system interfaces. Creates multiple design views to address the different stakeholders' concerns and to handle functional and non-functional requirements. Assists in the evaluation of options and trade-offs. Collaborates in reviews of work with others as appropriate.

Designs system components using appropriate modelling techniques following agreed architectures, design standards, patterns and methodology. Identifies and evaluates alternative design options and trade-offs. Creates multiple design views to address the concerns of the different stakeholders and to handle functional and non-functional requirements. Models, simulates or prototypes the behaviour of proposed system components to enable approval by stakeholders. Produces detailed design specifications to form the basis for the construction of systems. Reviews, verifies and improves own designs against specifications.

Provides technical expertise to enable the configuration of system components and equipment for systems testing. Collaborates with technical teams to develop and agree system integration plans and report on progress. Defines complex/new integration builds. Ensures that integration test environments are correctly configured. Designs, performs and reports results of tests of the integration build. Identifies and documents system integration components for recording in the configuration management system. Recommends and implements improvements to processes and tools.

Designs test cases and test scripts under own direction, mapping back to pre-determined criteria, recording and reporting test outcomes. Participates in requirement, design and specification reviews, and uses this information to design test plans and test conditions. Applies agreed standards to specify and perform manual and automated testing. Automates testing tasks and builds test coverage through existing or new infrastructure. Analyses and reports on test activities, results, issues and risks.

Follows agreed procedures to identify and resolve issues with applications. Uses application management software and tools to collect agreed performance statistics. Carries out agreed applications maintenance tasks.

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