Advanced Software Engineering Lead

• 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).