AI Cloud Software Engineer

CYOS Solutions

2d•Hybrid

About The Position

Services Australia is seeking an AI Cloud Software Developer 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 Software Developer, the role 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. The role will require collaboration 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 successful candidate 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. It is vital to ensure that Services Australia effectively leverages technology to enhance service delivery and meet the needs of the community. It is expected that they will develop, describe present and influence outcomes and/or findings across various forums and have excellent problem-solving, communication and leadership skills in a collaborative environment.

Requirements

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.
Must have an active Baseline clearance

Nice To Haves

Methods and tools: Level 4 (SFIA)
Programming/software development: Level 4 (SFIA)
Release and deployment: Level 4 (SFIA)
Software configuration: Level 4 (SFIA)
Software design: Level 3 (SFIA)
Systems design: Level 4 (SFIA)
Systems integration and build: Level 4 (SFIA)
Testing: Level 3 (SFIA)
Application support: Level 3 (SFIA)

Responsibilities

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.