Job Title: Azure Cloud (FullCAM) Application Architect

Security Clearance: Must be able to obtain Baseline

Duration: Initial 12 months with 2 x 12-month extensions

Functional Expertise: Application Architecture

Sub-functional Expertise: Azure Cloud Architecture / Technical Leadership

Location of work: QLD, WA, ACT, VIC, NSW, NT, SA, TAS

Working arrangements: If based in the ACT, the successful candidate may be required to attend the Canberra office 3 days per week and/or as required. Individual arrangements can be negotiated with managers where required.

Closing date: 9AM Wednesday, 22 July 2026

Description:

Our client is seeking an experienced Azure Cloud Application Architect / Technical Lead to play a pivotal role in the modernisation of a large-scale application into a scalable, secure and maintainable Azure cloud-native platform.

Working under the direction of the Solution Architect, you will translate high-level solution architecture into detailed application designs while providing hands-on technical leadership across development and engineering teams. You will bridge architecture and engineering, ensuring complex cloud-native solutions are delivered as robust, production-ready systems.

The role operates across a diverse technology landscape, including legacy C++ components, Azure PaaS/SaaS services, Azure Databricks, full-stack web applications and modern cloud-native architectures.

Responsibilities:

• Validate and refine application and component-level designs derived from Solution Architect direction, ensuring alignment with overall platform architecture.
• Translate high-level solution architecture into detailed, implementable application designs suited to Azure cloud-native environments.
• Act as a hands-on implementer of architectural patterns, ensuring design intent is consistently realised in delivery outcomes.
• Ensure architecture artefacts are practical, optimised and fit-for-purpose within the target cloud-native platform.
• Provide informed technical input into design decisions, trade-offs and feasibility, escalating issues where required.
• Collaborate closely with the Solution Architect to bridge gaps between conceptual design and detailed implementation.
• Ensure consistency and integration across application layers, services, interfaces and supporting data platforms.
• Identify, assess and address technical risks, constraints and optimisation opportunities throughout implementation.
• Actively contribute to development of core components, including C#/.NET services, APIs, Python data workflows and front-end elements (Angular) where required.
• Provide code-level leadership through peer reviews, technical guidance and mentoring to development team members.
• Support integration and refactoring of legacy C++ model components into modern cloud-native application architectures.
• Troubleshoot and resolve complex technical issues, including performance bottlenecks and architectural trade-offs.
• Collaborate with the Lead Data Engineer to support data pipelines, services and analytical workflows aligned with data architecture and warehousing principles.
• Ensure effective use of Azure Databricks, Data Lake and SQL platforms.
• Promote and support DevOps practices, including CI/CD implementation, branching strategies and automated deployment pipelines.
• Ensure solutions meet quality, security and compliance requirements, including secure coding, identity integration, logging and comprehensive testing practices.
• Provide technical leadership across multidisciplinary teams, fostering collaboration, mentoring staff and uplifting overall team capability.

Requirements:

• Demonstrated experience designing enterprise application architectures.
• Ability to translate high-level solution architecture into detailed Azure cloud-native application designs.
• Strong hands-on software engineering experience using C#/.NET, Python and Angular.
• Experience designing and implementing Azure cloud-native solutions using microservices and event-driven architectures.
• Experience with Azure Databricks, Azure Data Lake and SQL-based data platforms.
• Strong understanding of DevOps practices, including Azure DevOps, CI/CD pipelines and Infrastructure as Code.
• Experience working across legacy and cloud-native environments.
• Ability to provide technical leadership, mentoring and architectural guidance.
• Excellent analytical, troubleshooting and stakeholder engagement skills.

Key Capabilities:

• Enterprise application architecture
• Azure cloud-native solution design
• Technical leadership and mentoring
• Software engineering using C#/.NET, Python and Angular
• Azure Databricks and data engineering
• DevOps and CI/CD implementation
• Legacy system modernisation
• Secure application design and delivery
• Cross-functional collaboration and stakeholder engagement

Essential Criteria:

• Demonstrated ability to design and implement enterprise application architectures as well as translate high-level solution designs into implementable patterns, components and services. Strong ability to communicate complex technical concepts clearly as well as influence and drive stakeholder consensus.
• Strong hands-on software engineering skills in C#/.NET, Python and modern web Frameworks (Angular), with experience applying SOLID principles, clean architecture and building secure, testable APIs and applications.
• Demonstrated experience designing and delivering Azure cloud-native solutions using microservices, scalability and event-driven patterns, and core services (compute, storage, networking, monitoring, identity).
• Demonstrated capability in data engineering, including designing and supporting data pipelines and models using Azure Databricks, Data Lake and SQL-based platforms. Familiarity with data warehousing techniques and integrating data across distributed systems, with a willingness to further deepen expertise in this area as part of the role.
• Experience implementing DevOps practices using Azure DevOps, including CI/CD pipelines, Infrastructure as Code (e.g. Terraform), Repos and automated build and release processes.
• Ability to lead delivery across integrated legacy and cloud-native systems and deal with cross-system dependencies and complexity. Strong analytical and troubleshooting skills focused on delivering practical, implementable solutions.

Desirable Criteria:

• Experience working with scientific modelling or geospatial systems.
• Exposure to C++ integration or legacy system modernisation.
• Knowledge of Australian Government ICT frameworks and compliance requirements.
• Experience in multi-system modernisation programs.

How to apply:

Please submit your application including your resume and a completed application form addressing the essential and desirable criteria. Ensure your application highlights your experience and any relevant certifications.