Senior Back-End / Java Developer

Technical Lead (Java)

Ho Chi Minh, Ha Noi - Viet Nam

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#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.

Negotiation

Full-stack Lead (Android, Java)

Ho Chi Minh, Ha Noi - Viet Nam

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• Android

#Role Summary Lead the design and development of high-quality Android applications for banking projects in an Agile/Scrum environment Own the technical architecture and provide hands-on leadership across the full development lifecycle, from solution design to production deployment Drive scalable, secure, and high-performance mobile solutions aligned with modern Android best practices and enterprise standards Act as the technical authority for the Android domain, guiding the team on architecture, coding standards, and engineering excellence Contribute to backend/service integration and support end-to-end solution delivery as a full-stack Android technical leader when required Actively leverage AI tools to improve team productivity, code quality, testing coverage, and technical documentation Collaborate closely with cross-functional stakeholders, Solution Architects, and Delivery Leadership while mentoring and growing the Android engineering team#Key Activities Define and own the mobile architecture, technical roadmap, and engineering standards for Android applications Lead the design and development of complex, enterprise-grade Android solutions using Kotlin and Java Provide hands-on contribution to critical features, technical spikes, performance optimization, and integration layers Drive the adoption of Clean Architecture, MVVM, Jetpack Compose, and modularization strategies Review and approve technical designs, pull requests, and implementation approaches Ensure seamless integration with backend services, APIs, and external enterprise platforms Contribute to API design discussions and support backend collaboration for end-to-end delivery Establish and enforce best practices for code quality, testing strategy, CI/CD, and release management Identify technical risks, propose mitigation plans, and support delivery planning and estimations Coach and mentor Android developers, conduct technical training, and support career development Work closely with Product Owners, Scrum Masters, QA, DevOps, and Architects to ensure successful delivery

Negotiation

Senior AI Engineer

Ho Chi Minh - Viet Nam

Product

• Python
• AI
• Machine Learning

We're seeking an AI Engineer with strong academic foundations and deep technical expertise who excels at translating research into production banking systems. This role is 80% focused on engineering excellence-deploying models, optimizing infrastructure, ensuring reliability, and solving real-world implementation challenges-and 20% on staying current with cutting-edge AI research and emerging technologies. You'll bridge the gap between state-of-the-art AI research and scalable production systems in the financial services sector.#AI Engineering & Deployment (80%) Design, build, and deploy production-ready AI/ML systems on AWS with focus on reliability, scalability, and performance for banking applications Implement and maintain MLOps pipelines using AWS services (SageMaker, Bedrock, Lambda, Step Functions) including model versioning, monitoring, and automated retraining workflows Build and optimize AI solutions using AWS Bedrock, OpenAI API, and Gemini API combining with Model Context Protocol (MCP), Agent-to-Agent (A2A) protocol for various banking use cases Design and implement prompt engineering frameworks and prompt management systems for LLM-based applications Develop graph analysis solutions for fraud detection, customer relationship mapping, and network analysis in banking contexts Debug and troubleshoot production AI systems, identifying and resolving issues in model performance, data pipelines, and AWS infrastructure Build and maintain AIOps practices including automated monitoring, alerting, and incident response for AI systems on AWS Optimize model serving infrastructure for latency, throughput, and cost-efficiency using AWS services Implement robust data pipelines using AWS Glue, Kinesis, and related services for training and inference Collaborate with software engineering and risk teams to integrate AI capabilities into banking products and services Ensure compliance with banking regulations and security standards in all AI deployments Monitor model performance in production and implement drift detection and retraining strategies#AI Research & Innovation (20%) Stay current with latest AI research papers and breakthroughs, evaluating applicability to banking and financial services Research and prototype emerging AI architectures and techniques for financial use cases Evaluate new paradigms in model training, inference optimization, and architectural innovations Share knowledge through technical discussions, paper reviews, and internal research presentations Identify opportunities to apply cutting-edge research to improve fraud detection, customer service, risk assessment, and other banking operations

Negotiation