Frontend Technical Leader

Lead/Principal Java Software Engineer

Ho Chi Minh - Viet Nam

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• Java

Provide hands-on leadership to the design, development, and deployment of technical solutions; Collaborate with other technology leaders towards improving and fulfilling the client's technical direction; Evangelizing and promoting Java /JavaScript - Node.js & React.js best practices; Be passionate about Java understanding 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;

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Technical Lead (Java)

Ho Chi Minh, Ha Noi - Viet Nam

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• Java

#Technical Leadership Lead and mentor a team of backend engineers across multiple functional domains. Provide technical direction and ensure alignment with architecture standards and engineering best practices. Review solution designs, code quality, and implementation approaches - promoting clean architecture, resilient microservices, and AI-enhanced development patterns. Guide the team in diagnosing complex technical challenges, using both traditional analysis and AI-powered debugging or observability tools. Support planning, estimation, and technical decision-making within the engineering team. Backend Architecture & Development Design and develop backend services using Java and modern backend frameworks (e.g., Spring Boot). Define and implement microservices-based architecture and API-driven systems. Ensure backend services are scalable, secure, resilient, and maintainable. Drive best practices in backend development, including maintainable system design, automated testing, code quality, API governance, performance optimization and documentation. Work closely with DevOps teams to support CI/CD pipelines, incorporate intelligent automation, and ensure stable, secure deployment environments. Integrate AI-assisted development practices into coding, testing, documentation, code reviews, and defect prevention workflows. #Banking & Payment Domain Design backend systems supporting banking products and financial transaction processing. Build and maintain services related to payments, card processing, financial operations, and core banking functions. Ensure backend implementations comply with financial industry standards and security requirements. Collaborate with business and product teams to translate banking and financial requirements into technical solutions. #Client Collaboration & Delivery Work directly with client stakeholders, architects, and product owners to understand business processes, requirements and define technical solutions. Challenge and clarify requirements with curiosity dig deep into the "why" behind business needs. Participate in architecture discussions and technical workshops with client teams. Communicate technical designs, trade-offs, and solutions clearly to both engineering teams and non-technical stakeholders. Support project delivery by ensuring technical risks are identified and mitigated early.

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Featured Job

Lead Data Engineer

Ho Chi Minh, Ha Noi - Viet Nam

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• Data Engineering
• Management

Architect, develop, and maintain scalable data infrastructure, including data lakes, pipelines, and metadata repositories, ensuring the timely and accurate delivery of data to stakeholders. Work closely with data scientists to build and support data models, integrate data sources, and support machine learning workflows and experimentation environments. Develop and optimize large-scale, batch, and real-time data processing systems to enhance operational efficiency and meet business objectives. Leverage Python, Apache Airflow, and AWS services to automate data workflows and processes, ensuring efficient scheduling and monitoring. Utilize AWS services such as S3, Glue, EC2, and Lambda to manage data storage and compute resources, ensuring high performance, scalability, and cost-efficiency. Implement robust testing and validation procedures to ensure the reliability, accuracy, and security of data processing workflows. Stay informed of industry best practices and emerging technologies in both data engineering and data science to propose optimizations and innovative solutions.

Negotiation