AWS Serverless Python Software Developer

Published date Posted on Indeed on Oct 07, 2021 (13 d ago)

B2B FinTech SaaS

AWS, S3, SQL, SQL, NoSQL, Cloud9, System Infrastructure Architecture, ETL, Data Loader, Load Balancer, SQL, Numpy, Pandas, Lambda, Serverless, Object Oriented Design, StepFunction, SQS, SNS

Must be hands-on, proficient, must be punctual and attention-to-detail with the ability to see the big picture, military standards.

Remote is OK. Direct communication is important. Love what you do.

3 Zero Benefits:

Zero Politics, Zero Nonsense, Zero Bureaucracy.

3 High Benefits:

High Growth, High Efficiency, High Initiation

3 Great Benefits:

Great Colleagues, Great Product, Great Future

*If you do not have prior experience in the AWS Serverless technology stack, please study HANDS-ON and prepare prior to starting with us, by following the steps here:

Step 0 (Only if you don't have a Python web development background):

https://www.coursera.org/learn/python-basics

Step 1:

Quick optional intro training:

Here's a 50% off coupon after 1 week free trial: http://fbuy.me/v/ee21yin

https://www.coursera.org/learn/building-modern-python-applications-on-aws

https://aws.amazon.com/getting-started/hands-on/build-serverless-web-app-lambda-apigateway-s3-dynamodb-cognito

https://www.udemy.com/course/serverless-using-aws-lambda-for-python-developers/

Step 2:

For the practice, use AWS Lambda with Python, DynamoDB or Aurora Serverless PostgreSQL and React.JS to build a small application of business card app online, where user can signup/signin/signout, create/read/update/delete their info of name, age, birthday, job title, employer, city, email and phone number, as well as their profile picture. The admin of the application should be able to create/read/update/delete all user info, and see a table of all user info which can be sorted by age, job title, employer and City. No fancy UI needed, just clean is good.

Host on Amazon AWS, set up S3 for profile picture upload, Set up continuous integration with your preferred tool, and code repo.

Technical Stack to be prepared before your job starts: AWS, Lambda, Python Boto3, Cognito (for authentication and user management), CloudFront, Amplify (if you do frontend), React (if you do frontend), DynamoDB, AWS Aurora Serverless PostgreSQL

Other Free Resources:

Free AWS training:

Lambda:

https://aws.amazon.com/lambda/

Lambda Resources:

https://aws.amazon.com/lambda/resources/?aws-lambda-resources-blog.sort-by=item.additionalFields.createdDate&aws-lambda-resources-blog.sort-order=desc#Tutorials

Build a Serverless Web Application:

https://aws.amazon.com/getting-started/hands-on/build-serverless-web-app-lambda-apigateway-s3-dynamodb-cognito/module-2/

AWS Lambda with Boto3 of Python:

https://www.udemy.com/course/aws-automation-with-boto3-of-python-and-lambda-functions/

Cognito, Authentication and User Management:

https://www.youtube.com/watch?v=jTu--LpjA18

https://aws.amazon.com/getting-started/hands-on/build-serverless-web-app-lambda-apigateway-s3-dynamodb-cognito/

Job Types: Full-time, Contract, Temporary, Internship

Pay: $50,000.00 - $100,000.00 per year

Benefits:

  • Professional development assistance

Schedule:

  • Monday to Friday

Supplemental Pay:

  • Bonus pay

Experience:

  • Python: 1 year (Preferred)
  • Serverless: 1 year (Preferred)
  • Web Development: 1 year (Preferred)

Work Location:

  • Fully Remote

Work Location: Remote


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