Expert Backend Developer (AWS)

Hồ Chí Minh (Quận Phú Nhuận)

Nhân viên

Nhân viên chính thức

5 - 10 Năm

Lương thỏa thuận

CNTT - Phần mềm

CÔNG NGHỆ THÔNG TIN

28/02/2026

Phòng Thu Hút Nhân Tài

PHÚC LỢI

Máy tính xách tay

Bảo hiểm

Du Lịch

Phụ cấp

Thưởng

Tăng lương

Phụ cấp thâm niênMÔ TẢ CÔNG VIỆC

Develop and maintain high-performance backend systems and APIs using modern technologies such as serverless architectures, microservices, and containerization.

Define and evolve system and data architectures, ensuring they meet performance, scalability, security, and cost‑efficiency targets.

Deploy, monitor, and optimize backend services on AWS cloud infrastructure, ensuring high availability, performance, and cost-efficiency.

Collaborate closely with front-end engineers, devops, and product owners to deliver seamless, scalable solutions and align with business goals.

Coach and mentor mid‑ and junior‑level developers; lead architecture and code reviews to uphold best practices.

Troubleshoot and resolve issues in production and development environments promptly and effectively to minimize downtime.

Stay current with emerging backend technologies and trends, such as AI integration, edge computing, and new programming languages, to drive innovation.

YÊU CẦU CÔNG VIỆC

Experience: 5+ years building and operating production backend services.

Languages \& Frameworks

AWS Expertise: Hands‑on mastery of serverless (Lambda, API Gateway, Step Functions), container orchestration (ECS/EKS), and core services (EC2, S3, RDS, DynamoDB, SQS/Kinesis).

Infrastructure as Code: Proven experience with Terraform, CloudFormation, CDK or Serverless Framework.

Data Management: Deep understanding of SQL (PostgreSQL/MySQL) and NoSQL (DynamoDB, MongoDB) data modeling, indexing, and performance tuning.

CI/CD \& DevOps: Strong background in end‑to‑end pipeline automation (GitHub Actions, Jenkins, CircleCI), artifact management, and blue/green or canary deployments.

Security \& Compliance: Solid grasp of cloud security principles, threat modeling, encryption, and compliance frameworks.

Soft Skills: Excellent problem‑solving, communication, and interpersonal skills. Demonstrated ability to influence technical decisions and drive cross‑functional initiatives.

Bonus: Experience with AI and machine learning integration.

Experience with Customer Data Platforms (CDPs) or similar technologies, including data ingestion, segmentation, and real-time personalization use cases