Tóm tắt công việc
Role Summary
We are looking for motivated SENIOR JAVA
BACKEND DEVELOPERS with English communications skills to join our global engineering teams and developing and operating our flagship product (Digital Bank platform).
In our modern development environment, AI assistants are integral to the Software Development Lifecycle. Engineers leverage AI tools for code generation, test creation, and refactoring, while focusing their expertise on architecture, code verification, quality assurance, and strategic technical decisions.
This is a hybrid role where you'll function as part
Business Analyst, part QA Engineer, and Full-time Developer. You'll need to understand business processes deeply, communicate technical designs confidently with Product Owners and BA, and ensure quality throughout the development cycle.
Key Responsibilities
Design system architecture and guide AI-assisted implementation of Springboot/Kotlin applications
Review, verify, and refine AI-generated code to ensure quality, security, and maintainability
Collaborate with Product Owners and BA to understand requirements and business processes.
Collaborate with AI tools to translate user stories into working solutions efficiently
Communicate technical designs, trade-offs, and solutions confidently to non-technical stakeholders
Challenge and clarify requirements with curiosity dig deep into the "why" behind business needs
Validate AI-generated test suites and ensure comprehensive coverage using TDD and DDD principles
Own quality assurance by designing test strategies and verifying implementation correctness
Design and architect RESTful APIs and microservice patterns, directing Al implementation
Provide technical oversight and architectural decisions for AI-assisted development
Conduct thorough code reviews of both human and AI-generated code
Work with distributed teams across multiple time zones
HR benefits
Competitive salary
Salary band per level are reviewed once per year
13th month salary pro rata depending on the employee's length of service (within a calender year), paid with the December salary
Monthly lunch allowance: 700,000 VND/employee
Parking: GFT covers the monthly parking fee for employee motorbikes
Performance evaluation is once per year, for 2 purposes:
> Performance bonus > Salary increments
Health care
Private health insurance: including accident, outpatient, in-patient, maternity, and dental for all permanent employees who pass 2-month probation.
Optical: expense claim for eyewear
Annual health check-ups.
Vacation
Maximum 18-day vacation leave/year (with the ability to carry over 05 days till 31st March of the following year)
Adding one more annual leave day for each two-year anniversary.
Healthy lifestyle
Sports and hobby clubs: company has an annual fund for fitness activities, which is allocated per month as team's vote.
Range of healthy snacks, tea, coffee, milk and beer on tap
Social
Company townhall: each 6 weeks
CSR activities: as per company's CSR guideline
Onsite tour/training courses at other GFT offices and client's destination overseas (where applicable).
Technical Qualifications
Minimum 5+ years of relevant experience in
software engineering.
Java/Kotlin (Kotlin strongly preferred), SpringBoot, JPA, Kafka, Rest APIs.
Hands on experience with various Java Web technologies and frameworks Spring (Security, MVC, SpringBoot) JPA, REST API, Maven, Junit test, Mockito, Kafka.
Good practical knowledge of design of RDBMS and SQL
Understanding of Agile methodologies
AI-Augmented Development Skills:
Experience with AI-assisted development tools (GitHub Copilot, Claude Code, or similar)
Ability to write effective prompts and context for AI code generation
Strong code review and verification skills for AI-generated implementations
Critical thinking to assess AI suggestions and identify potential issues
Expertise in validating AI-generated tests for completeness and edge case coverage
Understanding of AI limitations and when to override or refine AI outputs
Ability to architect solutions that AI can effectively implement
Specific Qualifications
Excellent communication and written skills. Be able to work in a team
Strong analytical and problem-solving abilities to guide AI assistance
Understanding of financial instruments
Adaptability and willingness to learn new AI tools and workflows
Judgment and discernment in accepting, modifying, or rejecting AI-generated code
Essential Skillset
Automated unit and integration testing. (jUnit, mockito etc.)
Gradle build systems
Data structures and algorithms - dictionary, list, set, trees, graphs
Control-flow patterns and microservice architecture design
Database fundamentals: joins, indexes, foreign keys, primary keys, query optimization
Relational DB, NoSQL, graph DB, and ACID properties
System design and architectural patterns
Protocols & standards (OpenAPI, AVRO, Protobuf)
SOLID principles and event-driven architecture
DevOps and infrastructure fundamentals
Messaging queues, Docker/Compose
Kubernetes (pods, ConfigMaps, deployments, services)
Git workflows (GitHub), CI/CD pipelines, code quality tools (Sonar)
Security fundamentals and secure coding practices
Ability to verify security vulnerabilities in AI-generated code
Nice to have
Advanced AI tool proficiency (Claude Code etc.)
Experience integrating AI tools into team workflows
Cloud platforms (AWS)
Log management tools (Splunk, SumoLogic, ELK)
Infrastructure architecture (DNS, load balancers, CDNs)
Security: SSL/MTLS, PKI, asymmetric/symmetric encryption, OAuth, JWT
GraphQL, Airflow, TypeScript, Python
Contribution to open-source projects or AI tool customization
Experience with prompt engineering and context optimization
(Due to the high volume of applications we receive, we are unable to respond to every candidate individually. If you have not received a response from GFT regarding your application within 10 workdays, please consider that we have decided to proceed with other candidates. We truly appreciate your interest in GFT and thank you for your understanding.)