Backend Engineer

Senior AI Data Platform Engineer

Ho Chi Minh - Viet Nam

Product

#ML Data Platform Engineering & Administration Install, configure, and maintain ML data platforms on top of Kubernetes, Object Storage, Cassandra, Postgres and related technologies Monitor platform performance and optimize as needed for reliability and efficiency#Platform Configuration and Maintenance Implement and manage platform configurations, ensuring adherence to best practices and security standards Regularly update and patch systems to maintain security and stability#Collaborate with Cross-Functional Teams Work closely with ML and data engineers and other roles to align IT needs and strategies Provide expert guidance on ML data platform best practices and optimization#Troubleshoot and Resolve Technical Issues Identify, diagnose, and resolve data platform problems in a timely manner Escalate complex issues to upper-level support when necessary#Backup and Recovery Management Implement and maintain backup and recovery strategies for data platforms, ensuring data integrity and availability#Maintain and Update Documentation Create and maintain documentation related to data platform administration, configuration, and maintenance Share knowledge with team members and contribute to a culture of continuous learning#Enhance Data Security and Compliance Ensure data platforms adhere to security best practices and comply with relevant regulations Stay up-to-date on industry trends and evolving security standards#Drive Continuous Improvement Evaluate and implement new technologies and techniques to enhance data platform performance and administration Proactively identify areas for improvement, prepare plan for implementation and get support from management and development teams Always prefer automation and code-first approach over hard to reproduce manual tasks

Negotiation

Senior IT Infrastructure Engineer

Ho Chi Minh - Viet Nam

Product

Plan, design, and build enterprise hardware systems such as PDC, DRC, evaluating and selecting the best options to meet the organization's needs. Operate, maintain, and upgrade VMWare, OpenStack environments, backup software and libraries. Maintain, plan, deploy and protect the infrastructure environment server hardware and firmware, consolidating and improving system components such as virtualization, backup servers, SAN, Hardware security module, rack, and storage systems mainly in PDC, DRC to meet the organization's current and future requirements. Participate in IT projects, providing technical expertise and guidance for infrastructurerelated components. Ensure information security by understanding key security objectives such as confidentiality, integrity, and availability, and implementing appropriate measures in the infrastructure environment, fulfill the requirements of internal and external audits. Design converged SAN architecture and maintain SAN devices such as switches and storage, upgrading firmware when needed. Perform capacity planning for free space, performance, and usage, and proactively monitor systems to identify and address performance issues. Manage and monitor data center systems such as fire alarm and air conditioning, and plan server room layout and cabling. Test all changes to SAN networks, hardware, and software to ensure smooth implementation and operation. Document issues and resolutions and prepare status reports and reviews for management. Foster a strong collaborative relationship with Vendor ( Hardware & Storage Team, Virtualization team, Backup Team), seamlessly merging the efforts into a harmonious and unified team. Hold primary accountability for maintaining the smooth operation and availability of the datacenter, in strict adherence to SLA requirements. Prioritize swift resolution of any emerging issues to minimize downtime.

Negotiation

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