We are looking for a skilled AWS Developer with 3–4 years of experience to design, develop, and deploy scalable cloud-native applications on Amazon Web Services (AWS). The ideal candidate will have hands-on experience with AWS services, backend development, and CI/CD pipelines.
This role requires strong problem-solving skills, understanding of cloud architecture best practices, and the ability to work in Agile environments.
Design and develop scalable applications using AWS services.
Build and maintain RESTful APIs and backend services.
Implement serverless solutions using AWS Lambda.
Work with AWS services such as:
EC2, S3, RDS, DynamoDB
Lambda, API Gateway
CloudFormation / Terraform
IAM, Cognito
SNS, SQS
Ensure high availability, scalability, and security of applications.
Implement infrastructure as code (IaC).
Build and maintain CI/CD pipelines using AWS CodePipeline / CodeBuild or similar tools.
Deploy applications using Docker and container orchestration (ECS / EKS preferred).
Monitor applications using CloudWatch and other monitoring tools.
Troubleshoot and resolve production issues.
Implement AWS security best practices (IAM policies, encryption, VPC setup).
Ensure compliance with cloud governance policies.
Optimize cloud infrastructure costs.
Work closely with DevOps, QA, and Product teams.
Participate in Agile ceremonies.
Contribute to code reviews and documentation.
Bachelor’s degree in Computer Science or related field.
3–4 years of experience in backend or cloud development.
Strong hands-on experience with AWS services.
Proficiency in at least one programming language (Python / Java / Node.js).
Experience with REST APIs and microservices architecture.
Knowledge of CI/CD pipelines and Git workflows.
Understanding of networking concepts (VPC, subnets, load balancers).
AWS Certification (AWS Developer Associate / Solutions Architect Associate).
Experience with Infrastructure as Code (Terraform / CloudFormation).
Experience with containerization (Docker, Kubernetes).
Familiarity with monitoring and logging tools.
Exposure to cost optimization and performance tuning in AWS