Technical Lead
JOB DESCRIPTION
JOB REQUIREMENT
WHAT'S ON OFFER
CONTACT
Job Summary
Company Type:
Outsource
Technical Skills:
Java, .NET, ReactJS, Angular
Location:
Ho Chi Minh, Da Nang - Viet Nam
Working Policy:
Job ID:
J01089
Status:
Close
Related Job:
Principal Software Engineer - Juno
Ho Chi Minh - Viet Nam
Outsource
- .NET
- AI
Own the technical vision and architecture of the AI platform - agent orchestration, LLM integration layers, tool/MCP integrations, and the APIs other teams build on Make and document high-impact architectural decisions, navigating trade-offs between velocity, cost, reliability, and flexibility (e.g. model choice, orchestration patterns) Design the platform for multi-tenancy, extensibility, and scale so product teams can adopt AI capabilities without reinventing the foundation Keep the platform ahead of a fast-moving AI landscape: evaluate new models, frameworks, and patterns, and decide what's worth adopting Build production-grade backend services and platform components - this is a coding role, not a pure architect role Develop core capabilities like agent workflows, RAG pipelines, vector search, context management, and safe tool execution Set the bar for engineering quality: testing strategies for non-deterministic AI systems, evals, CI/CD, and code review culture
Negotiation
View detailsPrincipal Java Engineer - Martech
Ho Chi Minh - Viet Nam
Product
- Java
- Devops
- Cloud
Lead the design, development, and implementation of technical solutions. Collaborate with other technology leaders to enhance and align with the technical direction. Promote and advocate for Java best practices. Demonstrate a strong passion for Java and ability to enhance existing or new systems. Conduct training sessions to enhance engineers' programming skills. Design, develop, review, and manage Java application code and services for production and pre-release environments. Manage continuous integration, build management, and deployment scripts and systems as needed. Engage in Agile software development and code review with international teams to build scalable products and APIs. Leverage customer or business requirements to develop applications. Work with delivery teams to implement CI/CD and DevOps practices and tooling. Ensure strong coding practices, unit/component test coverage, and debugging code. Perform additional tasks as required.
Negotiation
View detailsLead Software Engineer (Distributed Computing)
Ho Chi Minh - Viet Nam
Product
- Python
- Backend
- Data Engineering
- Spark
- AI
Convert business goals into technical solutions. Lead research and development efforts to explore innovative methods and propose technical resolutions. Oversee the creation and advancement of an AI-powered software framework to expedite the modernization of complex analytical applications. Take charge of pivotal architectural choices for converting outdated computational tools into scalable cloud-native solutions. Establish technical pathways, engineering benchmarks, and modernization methodologies for AI-assisted software enhancement. Provide guidance on the utilization of AI tools, LLMs, and emerging AI engineering tactics to automate software evaluation, code transformation, validation, and enhancement. Lead technical inquiries into restructuring, decomposition, or re-implementation of existing software systems to effectively function in distributed environments. Collaborate with distributed computing specialists to devise target architectures using Spark-based execution models for extensive data processing. Construct and manage the development of reusable transformation pipelines, automation tools, and engineering frameworks facilitating large-scale software modernization. Develop validation strategies, quality frameworks, and technical evaluation processes to ensure maintained functionality and reproducibility of transformed systems. Influence architectural decisions regarding scalability, maintenance, performance, infrastructure efficiency, and long-term platform progression. Mentor senior and mid-level engineers, evaluate technical designs, and enhance the team's engineering proficiency. Collaborate with domain experts to comprehend application necessities and translate them into scalable, feasible technical outcomes. Prototype and assess new AI-assisted engineering measures to improve transformation velocity, engineering productivity, and software quality. Contribute to the organization's lasting strategy for AI-driven software modernization, distributed computing, and engineering automation.