AI Transformation Lead
JOB DESCRIPTION
JOB REQUIREMENT
WHAT'S ON OFFER
CONTACT
Job Summary
Company Type:
Outsource
Technical Skills:
AI
Location:
Ho Chi Minh - Viet Nam
Working Policy:
Hybrid
Job ID:
J02224
Status:
Active
Related Job:
Senior Tech Lead (Shop 6.0)
Ho Chi Minh - Viet Nam
Outsource
- Backend
- Frontend
- Azure
Take on overall technical and organizational responsibility for delivering Shop 6.0 across frontend, backend, and infrastructure Plan delivery scope, milestones, and releases, and coordinate the work of parallel workstreams (frontend, backend, DevOps, QA) Make and facilitate key architectural decisions together with the senior engineers, particularly around microservices, APIs, and cloud-native implementation on Azure Identify and manage risks related to integration (especially the ERP Cloud connection), scalability, and technical dependencies Serve as the central point of contact for stakeholders on scope, prioritization, and timelines Ensure code quality through reviews, mentoring, and clear standards, including a pull request process with mandatory checks and senior/lead review Ensure transparency on progress, risks, and decisions towards the team and management
Negotiation
View detailsLead Penetration Tester
Ho Chi Minh, Ha Noi - Viet Nam
Outsource
- Security
Conduct authorized penetration testing for various digital platforms, including web applications, mobile applications, APIs, infrastructure, and cloud environments. Identify and document security vulnerabilities, validate and exploit when necessary, covering areas such as authentication, authorization, session management, input validation, encryption, access control, and business logic issues. Perform security assessments according to industry standards (e.g. OWASP Top 10, OWASP API Security Top 10, OWASP Mobile Security Testing Guide) and relevant security practices. Analyze application flows, user journeys, transaction processes, access controls, and data handling mechanisms to uncover potential security risks. Conduct vulnerability assessment and manual verification to reduce false positives, confirming actual exploitability in authorized environments. Retest to validate remediation effectiveness and ensure vulnerabilities are properly resolved. Support security testing activities within the software development life cycle (SDLC), including security requirement review, threat analysis, test planning, and release security validation. Stay updated with emerging cyber threats, attack techniques, security risks, and security testing best practices. Lead the planning, scoping, and execution of penetration testing activities across assigned projects. Define the penetration testing approach, test strategy, testing scope, priorities, timelines, and required evidence based on project and client requirements. Guide and mentor penetration testers or security engineers in testing methodology, vulnerability validation, reporting quality, and remediation discussions. Review vulnerability findings, risk ratings, evidence, and remediation recommendations to ensure accuracy, consistency, and practical value. Serve as the main technical point of contact for penetration testing activities, working with client stakeholders, security teams, development teams, DevOps, infrastructure teams, and compliance teams. Facilitate vulnerability walkthroughs, risk clarification sessions, remediation discussions, and retesting alignment with relevant stakeholders. Support estimation, planning, status tracking, issue escalation, and delivery reporting for security testing activities. Contribute to improving security testing processes, reporting templates, testing checklists, knowledge sharing, and reusable testing practices. Support regulatory, audit, and compliance requirements by providing security testing evidence, reports, remediation status, and technical clarification when needed.
Negotiation
View detailsAI Software Transformation Engineer (Distributed Computing)
Ho Chi Minh, Ha Noi, Da Nang - Viet Nam
Product
- AI
- Spark
- Data Engineering
- Backend
Create an advanced AI-powered software transformation framework to speed up the modernization of complex analytical applications. Develop architectural patterns and transformation methodologies for converting outdated computational tools into scalable cloud-native solutions. Utilize AI agents, LLMs, and emerging AI engineering techniques to automate software analysis, code transformation, validation, and optimization. Work with distributed computing specialists to design target architectures that leverage Spark-based execution models for large-scale data processing. Lead technical investigations into restructuring, decomposing, or re-implementing existing software systems for efficient operation in distributed environments. Develop reusable transformation pipelines, automation tooling, and engineering frameworks for large-scale software modernization. Establish validation strategies and quality frameworks to ensure that transformed systems maintain functional correctness and reproducibility. Make architectural decisions regarding scalability, maintainability, performance, and long-term platform evolution. Collaborate with domain experts to understand application requirements and translate them into scalable technical solutions. Prototype and assess new AI-assisted engineering approaches to enhance transformation speed, engineering productivity, and software quality. Contribute to the organization's long-term strategy for AI-driven software modernization and engineering automation.