You will design, develop, and deploy scalable backend systems and data-driven services, leveraging modern cloud-native architectures.

Ideal candidates are highly proficient in Python and have hands-on experience with key AWS services such as Lambda, S3, DynamoDB, API Gateway, and more.

Key Responsibilities :

- Develop and maintain backend services, microservices, and APIs using Python.

- Design and implement cloud-native applications on AWS, ensuring scalability and high availability.

- Work with AWS Lambda, API Gateway, S3, DynamoDB, CloudWatch, IAM, etc.

- Build and optimize data processing pipelines (e.g., using Python, Glue, or Step Functions).

- Integrate third-party APIs and design secure, efficient interfaces.

- Collaborate with DevOps to implement CI/CD and infrastructure-as-code (e.g., using Terraform or AWS CDK).

- Write unit, integration, and performance tests for backend components.

- Participate in code reviews, architecture discussions, and sprint planning.

Requirements Required Skills & Qualifications :

- 36 years of professional software development experience with Python.

- Strong understanding of RESTful APIs, microservices, and asynchronous programming.

- Minimum 3+ years of hands-on experience with AWS.

- Must have used Lambda, S3, DynamoDB, API Gateway in production.

- Familiarity with IAM, VPC, CloudWatch, CloudFormation/Terraform.

- Experience working with databases (SQL and NoSQL).

- Solid grasp of software engineering principles, Git, version control workflow.

- Strong communication skills and ability to collaborate in agile teams.

Nice-to-Have Skills :

- Experience with Docker and container orchestration (ECS, EKS).

- Exposure to data engineering tools like AWS Glue, Athena, Step Functions.

- Experience with event-driven architectures (e.g.).

- Familiarity with CI/CD pipelines (e.g.).

- Knowledge of security best practices in cloud applications.

Education :

- Bachelors or Masters degree in Computer Science, Engineering, or related field.