Advanced Software Engineering Lead

Infosys-Singapore-

Singapore

On-site

SGD 180,000 - 260,000

Full time

14 days+
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Job summary

Infosys-Singapore- is seeking a senior, hands-on technologist in the Advanced Software Engineering Practice. The ideal candidate is a polyglot across software engineering and cloud domains, with practical AI hands-on experience and the ability to lead across complex client engagements.

You will architect high‑performance solutions across Python, Go, Java and TypeScript, lead migrations across Azure, AWS and GCP, and design AI-infused platforms.

Qualifications

  • Hands-on experience across multiple programming languages and modern distributed architectures (microservices, event-driven, serverless).
  • Advanced capabilities across Azure, AWS and/or GCP for migrations and target-architecture design.
  • DevOps tooling and infrastructure as code (Terraform/Bicep) with CI/CD pipelines.
  • Ability to manage multiple client engagements and communicate with executives.
  • Executive consulting experience and ability to translate technical concepts into business outcomes.

Responsibilities

  • Architect and implement high-performance solutions across varied technology stacks and architectures.
  • 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, digest new business domains, and pivot strategies as needed.
  • Act as a trusted technical advisor translating complex findings to executives and engineering teams.

Skills

Polyglot software engineering
Multi-cloud proficiency
Executive communication
Adaptability
Cognitive flexibility

Tools

Terraform
Bicep
CI/CD automation

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.
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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