Job Description

Key Responsibilities:

Design, develop, and deploy cloud-native applications on AWS using services such as Lambda, API Gateway, DynamoDB, S3, and others as needed.
Implement serverless architectures using AWS Lambda functions with Python.
Build and orchestrate workflows using AWS Step Functions and AWS State Machines.
Design, develop, and implement SOAP-based web services using services technologies.
Create and manage custom headers for web services to ensure security, authentication, and data integrity.
Implement MTOM attachments such as PDF for efficient transmission of binary data in web services.
Collaborate with Product Owners, Scrum Masters, and other team members to refine user stories and deliver solutions iteratively.
Ensure code quality, performance, and scalability through automated testing, code reviews, and adherence to best practices.
Troubleshoot and resolve issues in development, testing, and production environments.
Stay current with AWS services, tools, and best practices and share your knowledge within the team.

Qualifications:

Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
Proven experience with XML, XSD, WSDL, and other related technologies
Proven experience as a software developer with a strong understanding of cloud computing principles and practices.
Hands-on experience designing and developing applications on AWS cloud services, particularly Lambda, API Gateway, DynamoDB, and S3.
Proficiency in Python programming language; familiarity with other languages is a plus.
Experience with AWS Step Functions and State Machines is highly desirable.
Familiarity with Agile methodologies and SCRUM framework.
Strong problem-solving skills and ability to work effectively in a team environment.
Excellent verbal and written communication skills.

Preferred Qualifications:

AWS certifications (e.g., AWS Certified Developer) are a plus.
Experience with CI/CD pipelines and DevOps practices.
Familiarity with containerization (e.g., Docker) and orchestration (e.g., Kubernetes).

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