Backend Developer

Research and Trend Analysis:

Identify opportunities for applying generative AI techniques to improve business processes.
Stay up- to- date with the latest trends and advancements in IT Technology general/generative AI.

Business Requirements Analysis:

Analyze existing business processes and identify areas for optimization using generative AI.
Collaborate with business users, SA and stakeholders to understand their needs and pain points.
Consult, support end- users and suggest new optimized business processes required to fulfill business requirements.

Solution Proposal and Ideation:

and propose innovative ideas for applying generative AI to address business challenges.
Work closely with cross- functional teams to develop use cases and scenarios for generative AI applications
Design, develop the software to ensure the product delivered on time, within budgetBrainstorm.
Give Solution to optimize IT systems.

Implementation:

Translate business requirements into technical specifications for IT solutions/generative AI models.To make sure all incident which cannot be solved on previous lines of support are solved Level 3 support).
Updating, repairing, modifying, and developing existing development.
Collaborate with data scientists and engineers to design and implement IT solutions/generative AI solutions.
Make the deploy package to implement into other environment (test, pilot, production) and check list to deployment.

Testing and Evaluation:

Develop test plans and conduct thorough testing of generative AI models, and business function.
Evaluate the performance and accuracy of generative AI responses to user queries.

Documentation and Communication:

Writing the document for the operation of the program by operators.
Document all Business processes, reports, dashboard, business rules which capture all business requirements in the BRD documents clearly
Communicate effectively with both technical and non- technical stakeholders.
And other tasks as line manager’s assignment.
Create detailed technical documentation or specification documentation for solution, including user stories, process flows, and functional specifications.

Educational Qualifications

A bachelor&039;s or master&039;s degree in computer science, information systems, business administration or related field, or equivalent work experience, is required

Relevant Experience

Must- have:

Capable of optimizing performance, handling concurrency, and ensuring high availability.
Experience working with containerization technologies such as Docker and Kubernetes.
2 years of experience in developing backend systems and applications on the Cloud (e.g., AWS, Azure, GCP, etc.).
Strong understanding of Object- Oriented Programming (OOP) principles and/or Domain- Driven Design (DDD).
Proficient in NodeJS/Python for backend system development.
Hands- on experience in implementing and developing systems following the Microservices model.
Strong skills in debugging, troubleshooting, profiling, logging, and monitoring systems in production environments.
Experienced in designing, building, and contributing to system architecture at medium to large scale.
In- depth knowledge of databases: SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis, etc.).
Solid understanding of API design principles (RESTful; experience with GraphQL is a plus).
Optional:

Solid understanding of scalability, distributed systems, caching, and queueing systems.
Understanding and hands- on experience in building CI/CD pipelines (Jenkins, GitLab CI/CD, GitHub Actions, etc.).
Experience with event- driven architectures (Kafka, RabbitMQ, NATS, etc.).
Experience in system security, including authentication, authorization, OAuth2, JWT, and Identity Server.
2 years of IT and business/industry work related to AI/GenAI (prefer).
Knowledge and practical experience with cloud services such as AWS, Azure, and GCP (AWS or Azure experience is a strong plus).

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Cập nhật gần nhất lúc: 2025-10-31 00:15:03