Expert Backend Engineer (AWS, DevOps)

Mô tả công việc
• Define and evolve system and data architectures, ensuring they meet performance, scalability, security, and cost‑efficiency targets.
• Collaborate closely with front- end engineers, devops, and product owners to deliver seamless, scalable solutions and align with business goals.
• Develop and maintain high- performance backend systems and APIs using modern technologies such as serverless architectures, microservices, and containerization.
• Deploy, monitor, and optimize backend services on AWS cloud infrastructure, ensuring high availability, performance, and cost- efficiency.
• Coach and mentor mid‑ and junior‑level developers; lead architecture and code reviews to uphold best practices.
• Stay current with emerging backend technologies and trends, such as AI integration, edge computing, and new programming languages, to drive innovation.
• Troubleshoot and resolve issues in production and development environments promptly and effectively to minimize downtime.

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:
• Demonstrated ability to influence technical decisions and drive cross‑functional initiatives.
• Excellent problem‑solving, communication, and interpersonal skills.
Bonus:
• Experience with Customer Data Platforms (CDPs) or similar technologies, including data ingestion, segmentation, and real- time personalization use cases.
• Experience with AI and machine learning integration.

Cập nhật gần nhất lúc: 2025-12-04 04:00:03