Yêu cầu công việc
- Bachelor's degree or higher in Computer Science, Software Engineering, Information Systems, or a related technical discipline.
- At least 4 years of experience developing backend or platform software for production environments.
- Strong proficiency in at least one programming language such as Go, Java, TypeScript, Python, or equivalent.
- Hands-on experience designing and developing RESTful APIs, backend integration services, and asynchronous processing systems.
- Experience working with message brokers or streaming platforms such as Kafka, RabbitMQ, or equivalent technologies.
- Strong knowledge of relational databases and experience with at least one NoSQL database or distributed caching technology.
- Solid understanding of microservices architecture, distributed systems, API integration, concurrency, and production system design.
- Experience using Docker, CI/CD pipelines, logging, monitoring, and automated deployment practices.
- Strong troubleshooting, debugging, performance optimization, and production incident resolution skills.
- Excellent communication and collaboration skills with experience working in cross-functional engineering teams.
Công việc cụ thể là gì?
- Design, develop, and operate backend services for event processing, workflow orchestration, and task lifecycle management.
- Build internal and external APIs with well-defined data contracts, ensuring scalability, extensibility, and long-term maintainability.
- Develop data ingestion pipelines, asynchronous processing services, message queues, retry mechanisms, and fault-tolerant error-handling workflows.
- Implement core business logic for routing, prioritization, task assignment, workflow execution, status tracking, and escalation management.
- Collaborate with Data Engineering teams to consume standardized datasets and event streams while distributing processed outputs to downstream systems.
- Integrate workflow engines, automation services, push notification platforms, webhook services, and third-party systems to support operational business processes.
- Design and implement logging, audit trails, distributed tracing, monitoring, and alerting capabilities for production services.
- Optimize backend performance, latency, throughput, scalability, and service reliability for high-volume production environments.
- Design and manage appropriate data models, database schemas, caching strategies, message brokers, persistence layers, and transaction management.
- Participate in production incident response, root cause analysis (RCA), post-incident reviews, and continuous service improvement initiatives.
- Apply security best practices including authentication, authorization, access control, audit logging, and data protection throughout service development.
- Support the integration of AI/ML inference results into backend services while collaborating with AI teams on production deployment.
- Work closely with Product, Frontend, Data, AI/DS, and Platform Engineering teams to translate business requirements into scalable technical solutions.
- Contribute to system architecture, technical design discussions, code reviews, engineering documentation, and software development best practices.
- Mentor junior engineers in backend development, debugging, software quality, and production operations.
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