AWS Lambda Using Python Job

Responsibilities:

Mandatory:

o Design, develop, and deploy highly scalable, secure, and reliable serverless applications using AWS services, specifically:

API Gateway: Create and manage APIs for various use cases.

AWS Lambda: Develop and deploy serverless functions using Python or Go.

AWS Step Functions: Design and implement workflows for orchestrating multiple Lambda functions and other AWS services.

o Collaborate with cross-functional teams (product, design, DevOps) to understand requirements, translate them into technical solutions, and deliver features according to deadlines.

o Write clean, maintainable, and well-documented code adhering to best practices.

o Participate in code reviews and provide constructive feedback to improve code quality.

o Continuously learn and stay up-to-date with the latest advancements in AWS services and technologies.

o Utilize Git for version control and maintain a clean and efficient codebase.

o Configure and manage CI/CD pipelines using Git Runner or other tools.

o Monitor and troubleshoot application deployments and performance.

o Identify and implement opportunities for optimization and cost reduction.

o Have experience with Pulumi or Terraform for infrastructure as code (Infrastructure as Code - IaC).

Qualifications:

Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).

Minimum 6+ years of experience as a Software Engineer or similar role.

Strong understanding of cloud computing concepts and principles.

Proficiency in designing and developing serverless applications using AWS services, especially:

o API Gateway

o Python or Go for AWS Lambda functions

o AWS Step Functions

Experience with Git and CI/CD pipelines (e.g., Git Runner) is a plus.

Excellent problem-solving, analytical, and communication skills.

Ability to work independently and as part of a team.

Strong commitment to quality and a passion for learning new technologies

Information above is Internshala's interpretation and paraphrasing of what we found on the shared link.