.NET Technical Architect
JOB DESCRIPTION
JOB REQUIREMENT
WHAT'S ON OFFER
CONTACT
Job Summary
Company Type:
Outsource
Technical Skills:
.NET, Backend
Location:
Ho Chi Minh - Viet Nam
Working Policy:
Job ID:
J00016
Status:
Close
Related Job:
Data Platforms Team Leader
Ho Chi Minh - Viet Nam
Product
- Data Engineering
- Devops
- AI
#Team Leadership and Management: Lead and mentor agile team of data platform and support engineers towards self-organization and empowerment Conduct performance reviews and provide professional development opportunities Present team achievements in internal and external events#Data Platform Administration & Support: Install, configure, maintain and monitor data platforms, including databases, filesystems, and other related technologies Regularly update and patch systems to maintain security and stability Identify, diagnose, and resolve data platform problems in a timely manner Implement and maintain backup and recovery strategies for data platforms, ensuring data integrity and availability Inform, support and educate users of historical and new platform features and related processes#Continuous Improvement, Technical Excellence and Accountability: Ensure proper data platform design and platform features enabling AI/ML model training/serving, data management, data quality tracking Oversee the technical design aligned with company strategy and policies Follow, select and apply the latest technologies and best practices in platform code, management, and AI/ML area#Delivery Tracking: Ensure projects are delivered on time, within scope, in alignment with product owner and users' expectations, including non-functional requirements (performance, security, stability, observability, continuity) Manage expectations, risks and resolve issues that arise during platform lifecycle#Collaboration with Product Owner (s) and Development Team (s): Work closely with the Product Owners and Development Teams depending on platform features and performance to align platform roadmaps with their goals Provide platform-level feasibility assessments for new features and enhancements Ensure clear communication and coordination between the team, Product Owner (s) and Development Team (s)#Automation, code quality and documentation: Implement and maintain quality standards for platform code Ensure regular testing and validation are implemented as vital part of automated CI/CD#Data Governance and Compliance: Ensure data platform features comply with relevant data privacy and security regulations and policies Manage data access and usage to protect personal data and other sensitive information
Negotiation
View detailsPrincipal 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 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.