Advanced Software Engineering Lead

Job Description

Primary Objective: Act as a senior, hands-on technologist within the Advanced Software Engineering

Practice. The ideal candidate is a true polyglot across software engineering and cloud domains, with

practical hands-on experience in Al engineering. This role demands an adaptable leader capable of

context-switching across multiple complex client engagements-from analysing hybrid systems to

building modern Al-infused platforms-while seamlessly navigating rapidly changing technology and

business contexts.

Key Responsibilities:

. Polyglot Execution: Architect and implement high-performance solutions across varied technology

stacks (e.g., Python, Go, Java, TypeScript) and application architectural paradigms.

. Cloud-Agnostic Leadership: Lead technical delivery, architectural reviews, and migration planning

across any major cloud (Azure, AWS, GCP) and hybrid environments.

. Hands-on Al Engineering: Design, integrate, and operationalize complex technology solutions, including

orchestration & accelerators.

. Multi-Engagement Management: Handle multiple, simultaneous client portfolios. Rapidly digest new

business domains, assess technical debt, and pivot strategies based on changing client needs.

. Strategic Consulting: Act as a trusted technical advisor to client executives and engineering teams,

translating deeply technical concepts into clear business outcomes.

Requirements

Required Technical Skills:

. Polyglot Software Engineering: Deep, hands-on expertise in multiple programming languages and

modern distributed architectures (Microservices, Event-Driven, Serverless).

. Multi-Cloud & Migration Proficiency: Advanced capabilities across Azure, AWS, and/or GCP. Proven

experience auditing existing infrastructures, capacity profiling, and designing target state architectures

for complex cloud migrations.

. Modern DevOps & laaC: Mastery of Infrastructure as Code (e.g., Terraform, Bicep ) and robust CI/CD

pipeline automation.

Soft Skills & Consulting Experience:

. Extreme Adaptability: Thrives in ambiguous, high-pressure environments where technology stacks and

business requirements evolve constantly.

. Cognitive Flexibility: Exceptional ability to context-switch between disparate projects, client cultures,

and technical constraints without losing momentum.

. Executive Communication: Highly effective at presenting complex architectural findings and migration

roadmaps to both technical stakeholders and C-level executives.

. Local Market Presence: Melbourne-based, with the ability to foster strong relationships within the local

tech ecosystem and client base.

Nice to have [At least 12 months experience]:

. Hands-on Al Engineering: Design, integrate, and operationalize applied Al solutions, including LLM

orchestration, RAG architectures, and Al-driven accelerators.

. Applied AI / ML: Practical experience building with foundational models, agentic frameworks, prompt

engineering, and deploying models to production (MLOps/LLMOps).