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Engineering Technical Lead

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Onsite

Engineering Technical Lead

Tata Consultancy Services

Engineering Technical Lead

Skills

Java.NETMicroservicesAI

1 month ago

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Important information


Contract type:

Freelance / Contract

Location:

Seoul, South Korea

Work mode:

Onsite

Published on:

18 September 2026

What they need


Responsibilities:

  • Work closely with Chubb Korea and Chubb India engineering stakeholders to understand business and technical requirements and translate them into actionable engineering outcomes.

  • Fluent (Able to speak & write) in both Korea and English languages.

  • Lead and facilitate requirements elicitation, solution clarification and technical discussions.

  • Participate actively in architecture and solution-design discussions, identifying dependencies, risks and implementation considerations.

  • Provide hands-on technical leadership and support across design, development, SIT/UAT, deployment and production readiness.

  • Act as the onsite communication and coordination point across local stakeholders and distributed engineering teams.

  • Support release and deployment planning, environment readiness, cutover and post-deployment stabilization.

  • Help establish effective onsite–offshore ways of working and contribute to scaling the initial setup into forward-deployed microsquads.

  • Work within applicable Chubb security, data-governance and Korea regulatory controls, including approved boundaries for data access and deployment activities.

Technical skills:

  • 10+ years of IT experience with strong hands-on software engineering background, ideally as a Java or .NET Tech Lead / senior engineer, with the ability to operate across application layers.

  • Strong understanding of modern application architecture, APIs and integration patterns, microservices and enterprise application development.

  • Good understanding of cloud, DevOps/CI-CD, environment management and deployment/release practices.

  • Exposure to AI-enabled software engineering / GenAI engineering practices and the ability to operate in an AI-engineering-led pod model.

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