End User Computing Architect

Principal IT Architect

Ho Chi Minh - Viet Nam

Outsource

Create target architecture, architecture principles, and technical guardrails for systems, platforms, and integrations Translate strategic objectives into specific technical initiatives and prioritize based on business value and risk Assess new technologies, platforms, and tools including their benefits, risks, costs, and strategic fit Develop solutions adhering to modern architecture principles such as cloud-native, Zero Trust, and automation Develop integration and platform strategies with consistent interfaces, API usage, and system integration Organize complex requirements into technical work packages and document solution designs Lead teams through critical implementation phases and make sound technical decisions Review architectures, designs, and implementations for consistency, quality, and strategic alignment Identify technical risks and develop mitigation measures Ensure comprehensive, clear, and updated documentation of systems and solutions Take technical lead on major incidents and structural problems Provide support for local IT administration tasks as needed Mentor senior and mid-level engineers, supporting individual growth and technical expertise Share best practices and experiential knowledge in a structured manner Identify skill gaps and initiate appropriate development measures Actively introduce and model modern technologies and ways of working Identify automation opportunities and implement them through scripting, workflows, or platform solutions Evaluate and integrate AI-powered tools to enhance efficiency and decision quality Promote AI competence within the team Evaluate technical solutions from an economic perspective: TCO, ROI, scaling costs, vendor lock-in Develop structured option comparisons and decision materials for leadership Identify cost savings through tool consolidation, decommissioning unused services, and cloud optimization

Negotiation

(JTL) Cloud Architect

Ho Chi Minh - Viet Nam

Outsource

• Devops
• Azure

Defining and evolving the target architecture for Azure, including design, network, identity concepts, and Azure Landing Zones Implementing Adoption Framework and Well-Architected Framework Establishing IaC standards with Terraform, designing GitOps and CI/CD architectures, and enabling development teams through self-service platform approaches Integrating security-by-design and compliance requirements from the start, covering IAM, network segmentation, and secrets management, and supporting audits and security reviews together with InfoSec and Compliance Planning and accompanying migrations from on-premise or legacy systems into Azure, evaluating workloads for cloud-readiness, and applying cost-by-design principles to keep cloud spend transparent and efficient Reviewing and evaluating existing and new cloud concepts, contributing to architecture governance, creating and maintaining architecture documentation, and actively transferring knowledge to teams and stakeholders

Negotiation

AI Software Transformation Engineer (Distributed Computing)

Ho Chi Minh - 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.

Negotiation