Senior Backend Developer
GFT Technologies Xem tất cả việc làm
- Tp Hồ Chí Minh
- Lâu dài
- Toàn thời gian
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 Activities
- 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
- 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
- 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
- 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
- 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
- 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
- You view AI as a powerful co-pilot, not a replacement for engineering judgment
- You excel at architectural thinking and can design systems for AI to implement
- You have a keen eye for code quality and can quickly spot issues in generated code
- You understand the "why" behind the code, not just the "what"
- You're comfortable iterating with AI tools to achieve optimal solutions
- You can mentor others in effective AI-assisted development practices
- You maintain high standards for code quality regardless of its source
- Competitive salary
- 13th-month salary guarantee
- Performance bonus
- Professional English course for employees
- Premium health insurance
- Extensive annual leave
Feel it. We are #one team collaboratively working towards the same goal.Not Ready To Apply?Stay connected! Enter your e-mail and we will keep you informed about upcoming events and opportunities that match your interests.