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Infosys Singaporeand Australia

Advanced Software Engineering Lead

  • Seen live on Infosys Singaporeand Australia's site today
  • Senior
Pay
Not stated
Location
Singapore, Singapore, Singapore
Open for
11+ days
First seen
Oct 24, 2026

Posting record

No flags

Open 11+ days

The posting's record, oldest first
  1. Infosys Singaporeand Australia's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Infosys Singaporeand Australia, so its true age is longer.

Last checked Nov 4, 2026.

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What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

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.

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).

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