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).