VNGGames

Tóm tắt công việc

We're looking for a Senior Backend Engineer to design and build reliable, scalable backend systems that power our internal platforms and business operations. You'll own systems end to end - from architecture and implementation through deployment, observability and production troubleshooting.
As we expand into AI, you'll also build and integrate LLM-powered capabilities and AI agent workflows into real internal processes.

What You'll Do: 

• Design and build backend systems: Own the architecture and development of scalable, reliable backend services and APIs.

• Solve distributed-system challenges: Design for idempotency, concurrency, consistency, retries, failure handling, and asynchronous or event-driven workflows.

• Build production-ready AI systems: Integrate LLM APIs or self-hosted models into backend services, and design the supporting systems for reliability, scalability, observability and maintainability.

• Build AI agent workflows: Tool calling, multi-step workflows, orchestration, and reliable AI-powered automation.

• Ensure performance and reliability: Optimize databases and queries, build observability through logging, metrics and tracing, and troubleshoot production issues.

• Drive engineering practices: Make architecture decisions, improve code quality, run code reviews, and mentor other engineers.

• Great working environment & large scale projects.
• Fast adoption with new & trending technology.
• Opportunity to rotate in products lines.
• Attractive package & long-term career path.

Requirements: 

• Bachelor's degree in Computer Science, Software Engineering, Information Technology or a related technical field.

• 4 - 5 years of experience as a Backend Engineer, with strong ownership of production systems.

• Strong experience with at least one backend language such as Go, Python, Java or Node.js.

• Strong understanding of system design, API design and backend architecture.

• Experience with PostgreSQL, MySQL, MongoDB or similar databases, including performance tuning, indexing and transaction handling.

• Experience with message queues or event-driven architecture such as Kafka, RabbitMQ, Pub/Sub or SQS.

• Good understanding of distributed systems, including idempotency, concurrency, consistency, retries and failure handling.

• Experience with observability - logging, metrics and tracing.

• Experience diagnosing and troubleshooting production issues in large-scale or business-critical systems.

• Strong understanding of SOLID principles and Clean Architecture.

• Strong problem-solving skills, and the ability to independently research and evaluate new technologies and approaches.

Nice to Have: 

• Hands-on experience with LLM applications, RAG, AI agents, tool calling or workflow orchestration.

• Experience integrating OpenAI, Claude or other LLM providers, or working with self-hosted open-source models.

• Experience building production-grade AI systems with a focus on reliability, evaluation, observability and scalability.

Platform & delivery

• Experience with Kubernetes or cloud-native technologies.

• Experience with AWS, GCP or similar cloud platforms.

• Experience building internal tools or workflow/AI platforms.