Senior Backend Engineer
Hạn nộp hồ sơ: 16/10/2026 (Còn 25 ngày)
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Mô tả công việc
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.
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.
Yêu cầu
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 [protected info]
• 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.
• 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 [protected info]
• 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.
Thông tin khác
Java
Golang
Python
PostgreSQL
MySQL
MongoDB
System Design
API
NodeJS
Distributed Systems
RabbitMQ
SOLID
Architecture
Observability
OpenAI
Apache Kafka
AWS
Amazon SQS
Kubernetes
GCP
Performance tuning
Clean Architecture
Pub/Sub
LLM
RAG
Claude
Golang
Python
PostgreSQL
MySQL
MongoDB
System Design
API
NodeJS
Distributed Systems
RabbitMQ
SOLID
Architecture
Observability
OpenAI
Apache Kafka
AWS
Amazon SQS
Kubernetes
GCP
Performance tuning
Clean Architecture
Pub/Sub
LLM
RAG
Claude
Thông tin chung
- Thu nhập: Thỏa Thuận
Việc làm tương tự khác
Ngân hàng Thương mại cổ phần Việt Nam Thịnh Vượng (VPBank)
Hà Nội, Hồ Chí Minh
Thỏa thuận
Công ty Cổ phần Hạ tầng Viễn Thông số
Hà Nội, Hồ Chí Minh, Đà Nẵng
15.000.000 - 30.000.000 VND
Công ty TNHH CÔNG NGHỆ EMPOS
Hà Nội, Hồ Chí Minh, Đà Nẵng, Hải Phòng
Thỏa thuận
Thông tin công việc
Vị trí:
Nhân viên
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Tập đoàn Công nghiệp - Viễn thông Quân đội (Viettel)
Hồ Chí Minh
Thoả thuận
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Công Ty TNHH Money Forward Việt Nam
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