Posted on: 03/08/2026
Description :
- Own the full data layer architect and optimize MySQL, MongoDB, and Neo4j graph databases
- Implement robust security, authentication, and authorization frameworks
- Build and maintain CI/CD pipelines and manage production deployments on Kubernetes (EKS)
- Leverage AWS ecosystem extensively : Lambda (serverless), S3, EC2, RDS, ECS/EKS,
CloudWatch, etc.
- Drive performance tuning, query optimization, backup/recovery strategies, and monitoring
- Conduct code reviews, mentor junior engineers, and actively participate in architecture
discussions
- Collaborate closely with Frontend, DevOps, QA, Data Science, and Product teams
Must-Have Skills & Experience :
- 8 - 12 years of backend engineering experience on commercialized, customer-facing cloud products
- 5+ years of deep Python expertise (FastAPI/Flask/Django, async programming, pytest, etc.)
- Proven production experience with MySQL, MongoDB, and Neo4j (Cypher queries, graph modeling)
- Strong SQL proficiency and database performance tuning
- Hands-on with Docker, Kubernetes (EKS preferred), and modern CI/CD (GitHub Actions,
Jenkins, ArgoCD, etc.)
- Solid experience with core AWS services Lambda, S3, EC2, RDS, IAM, CloudFormation /Terraform
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Posted in
Backend Development
Functional Area
Backend Development
Job Code
1659932