Backend Engineer (AI Project)

Ho Chi Minh

IT

Full-time

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About the Role:

We are seeking a highly skilled and experienced Backend Engineer with a strong proficiency in both Java and Python to join our dynamic development team. In this role, you will be responsible for designing, developing, and maintaining robust, scalable, and high-performance backend systems.

Key Responsibilities:

  • Design, develop, and implement scalable, secure, and high-performance backend services and APIs using Java and Python.
  • Write clean, maintainable, and efficient code following best practices and architectural patterns.
  • Collaborate with frontend developers, product managers, and other stakeholders to define requirements and deliver integrated solutions.
  • Troubleshoot, debug, and optimize existing backend systems for performance and reliability.
  • Participate in code reviews, contribute to architectural discussions, and provide technical guidance.
  • Ensure the seamless integration of various system components and third-party services.
  • Stay updated with the latest industry trends and technologies, applying relevant advancements to our projects.

Minimum Qualifications:

  • Bachelor‘s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • Minimum 3 years of proven professional experience in backend development.
  • Strong proficiency in Java and its core frameworks (e.g., Spring Boot, Spring Cloud).
  • Strong proficiency in Python and its relevant backend frameworks (e.g., Django, Flask, FastAPI).
  • Solid understanding of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis).
  • Experience with RESTful API design and development.
  • Familiarity with version control systems (e.g., Git).
  • Strong problem-solving abilities and analytical skills.
  • Excellent communication and teamwork skills.

Preferred Qualifications (Nice-to-Have):

  • Experience with microservices architecture and distributed systems.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
  • Knowledge of message queues (Kafka, RabbitMQ) or event-driven architectures.
  • Experience with CI/CD pipelines and automated testing.

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