Advanced Software Engineering Lead

Infosys Limited; Singapore; On-site; SGD 180,000 - 300,000; Full time

Job summary

Infosys Limited is seeking a senior technologist in advanced software engineering who can bridge cloud and AI domains. The role requires hands-on expertise across Python, Go, Java, and TypeScript, with a strong emphasis on architecting scalable, cloud-agnostic solutions.

The candidate will lead technical delivery across Azure, AWS, and GCP, drive migration plans, and oversee multi-engagement projects. Excellent communication with executives and the ability to adapt in fast-changing environments

Qualifications

• Deep, hands-on expertise across multiple programming languages and distributed architectures.
• Auditing existing infrastructures and designing target state architectures for complex cloud migrations.
• Infrastructure as Code and robust CI/CD pipeline automation.

Responsibilities

• Architect and implement high-performance solutions across varied stacks (Python, Go, Java, TypeScript).
• Lead technical delivery, architectural reviews, and migration planning across cloud and hybrid environments.
• Design, integrate, and operationalize AI-enabled solutions including orchestration and accelerators.
• Manage multiple client portfolios and rapidly adapt strategies to evolving needs.
• Translate technical findings into clear business outcomes for executives.

Skills

Polyglot software engineering

Multi-cloud & migration

Cloud-native architectures

Hands-on AI engineering

Tools

Terraform

Bicep

CI/CD pipelines

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).