Technical Lead (Backend)
ABOUT CLIENT
JOB DESCRIPTION
JOB REQUIREMENT
WHAT'S ON OFFER
CONTACT
Job Summary
Company Type:
Product
Technical Skills:
Java, Microservices, AWS
Location:
Ho Chi Minh - Viet Nam
Working Policy:
Hybrid
Job ID:
J00372
Status:
Active
Related Job:
Lead Software Engineer (Distributed Computing)
Ho Chi Minh - Viet Nam
Product
- Data Engineering
- Backend
- Spark
- AI
Translate business objectives to technical solutions. Lead R&D to discover novel approaches and propose technical solutions. Lead the design and development of a next-generation AI-powered software transformation framework capable of accelerating the modernization of complex analytical applications. Own key architectural decisions for converting legacy computational tools into scalable cloud-native solutions. Define technical direction, engineering standards, and transformation methodologies for AI-assisted software modernization. Guide the use of AI agents, LLMs, and emerging AI engineering techniques to automate software analysis, code transformation, validation, and optimization. Lead technical investigations into how existing software systems can be restructured, decomposed, or re-implemented to operate efficiently in distributed environments. Collaborate with distributed computing specialists to design target architectures using Spark-based execution models for large-scale data processing. Build and guide the development of reusable transformation pipelines, automation tooling, and engineering frameworks that enable software modernization at scale. Establish validation strategies, quality frameworks, and technical review processes to ensure transformed systems maintain functional correctness and reproducibility. Drive architectural decisions around scalability, maintainability, performance, infrastructure efficiency, and long-term platform evolution. Mentor senior and mid-level engineers, review technical designs, and raise the engineering quality of the team. Partner with domain experts to understand application requirements and translate them into scalable, practical technical solutions. Prototype and evaluate new AI-assisted engineering approaches that improve transformation speed, engineering productivity, and software quality. Contribute to the organization's long-term strategy for AI-driven software modernization, distributed computing, and engineering automation.
Negotiation
View detailsHead of Engineering
Da Nang - Viet Nam
Product
- NodeJS
- NestJS
- ReactJS
- Typescript
- AWS
- AI
Develop and communicate the engineering strategy, technical roadmap and priorities that align with product goals, customer outcomes and regulatory obligations. Assume responsibility for various aspects of the engineering process including discovery, estimation, architecture, development, testing, release, production support, incident response and continual improvement. Establish and build the engineering organisation by defining team structure and roles, participating in hiring, coaching and retaining engineers, and creating clear expectations and development paths. Lead internal engineers and oversee external engineering delivery partners to ensure agreed outcomes, quality standards, security requirements, and delivery commitments are met. Maintain a strong technical understanding to challenge designs, lead architecture and code reviews, resolve complex issues, and make informed decisions. Establish and enforce engineering standards for secure software development, code quality, automated testing, release management, and technical debt reduction. Assume responsibility for production reliability and operational readiness, including observability, capacity, availability, performance, incident management, and root-cause remediation. Integrate security and privacy into the engineering process, including encryption, auditability, secrets management, vulnerability remediation and data minimization. Collaborate with other teams to shape requirements, manage trade-offs, communicate risk and provide transparent delivery forecasts. Define measurable engineering objectives and own responsible AI adoption across various areas. Evaluate AI-enabled product opportunities and manage engineering suppliers and technology vendors. Contribute to budgeting, forecasting and prioritization, ensuring engineering expenditure produces measurable business value.
Negotiation
View detailsManager, Technical Development Advisory
Ho Chi Minh - Viet Nam
Product
- L&D/OD
Work with experts to create technical learning solutions for addressing skill gaps and supporting capability development. Manage the administration and optimization of learning management systems and related platforms for effective content delivery and a good learner experience. Take charge of program management for training initiatives, including needs analysis, design, development, delivery coordination, and evaluation. Collaborate with the Head of Technical Development Advisory and senior stakeholders to align learning initiatives with strategic priorities and transformation objectives. Implement and monitor quality assurance processes to uphold high standards across all learning content and delivery. Develop and report on key performance metrics, learning analytics, and program effectiveness to drive continuous improvement. Coordinate with regional and global teams to ensure consistent learning experiences across multiple locations.