Senior Cloud Operations Engineer (Azure, AWS)

Principal Java Engineer - Martech

Ho Chi Minh - Viet Nam

Product

Provide hands-on leadership to the design, development, and deployment of technical solutions; Collaborate with other NAB's technology leaders towards improving and fulfilling the NAB technical direction; Evangelise and promote Java best practices; Be passionate about Java and understand how to implement advancement for existing or new systems; Lead and conduct training to empower engineers on sufficient programming skills; Design, develop, review, implement, and manage Java application code and services for the production and pre-release environments; Design, develop, review, implement, and manage continuous integration, build management and deployment scripts, systems, and any code as required; Participate in Agile software development, prototyping, and code review with international development teams to build scalable microservices-based products and APIs using Java technologies on AWS or Azure cloud architecture; Understand the requirements of the customer or business and utilize this knowledge to develop applications that are consistent with this; Work with delivery teams to achieve success through development using CI/CD and DevOps practices, processes, and tooling; Provide robust coding practices, solid unit/component test coverage, and debugging code; Fulfil other tasks as assigned by your People Leader and/or authorized representative of NAB Vietnam from time to time.

Negotiation

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

Head 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