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Job Benefit

  • Laptop
  • Insurance
  • Travel opportunities
  • Allowances
  • Incentive bonus
  • Salary review
  • Seniority Allowance

Job Description

  • 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. 

Job Requirement

  • 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

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