Advanced Software Engineering Lead
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Before you apply
LocationSingapore, Singapore, Singapore
Work modeon-site
Typefull-time
SenioritySenior
DepartmentTechnology Transformation
Company size10,000+ people
PostedSep 11, 2026 · 1mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Deep, hands-on expertise in multiple programming languages and modern distributed architectures (Microservices, Event-Driven, Serverless)
Advanced capabilities across Azure, AWS, and/or GCP. Proven experience auditing existing infrastructures, capacity profiling, and designing target state architectures for complex cloud migrations
Mastery of Infrastructure as Code (e.g., Terraform, Bicep) and robust CI/CD pipeline automation
Extreme adaptability in ambiguous, high-pressure environments
Exceptional ability to context-switch between disparate projects, client cultures, and technical constraints
Highly effective at presenting complex architectural findings and migration roadmaps to both technical stakeholders and C-level executives
Hands-on AI Engineering: Design, integrate, and operationalize applied AI solutions including LLM orchestration, RAG architectures, and AI-driven accelerators
Practical experience building with foundational models, agentic frameworks, prompt engineering, and deploying models to production (MLOps/LLMOps)
Melbourne-based, with ability to foster strong relationships within local tech ecosystem and client base
Skills
Python
Go
Java
TypeScript
Azure
AWS
GCP
Terraform
Bicep
About the role
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.
Responsibilities
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
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).