Manage Job Application using AWS Free Service

3 min readDec 3, 2021

One of my friend (HR Executive) reached out to me with a problem. The issue was that they were getting the hundreds of Resume from candidates via email and it’s hard for them to manage all those resume in his email. They want some solution for this problem. However, as a startup company they don’t have any infrastructure or budget for this. After hearing this use case, I came up with an idea to use AWS Services in Free Tier to address this issue

The plan was to host the static website in S3 bucket and using API Gateway and Lambda to get the Resume from users and upload that to S3 bucket also at the same time send a notification to HR about the job application received. Both API Gateway and Lambda provide 1 million call within free tier (which will be more than enough in this case) and S3 and SNS also fall in free tier.

Static Website:

Create a new S3 bucket and enable public access and Static WebSite. Upload the index.html page to make your website available for all. Note: I’m not going to cover how to host a static website here. If you are new to AWS then refer this document

<html>
<head>
<title>Please upload your Resume< </title>
<center><h2>Upload your Resume to apply for the job </h2><br></br>
<form method="post" enctype="multipart/form-data", action="https://ua6zsjvy23.execute-api.us-east-1.amazonaws.com/v1/upload">
 Select File:
 <input type="file" name="file"><br><br><br>
 <input type="submit" name="submit" value="Submit">
</head>
</center>
</form>
</html>

AWS Lambda function:

Create a new lambda function with Python 3.8 Runtime. Attach the execution role with the function to allow lambda to execute and send notification using SNS. Add following Python code to lambda function

import json
import base64
import boto3
import emaildef lambda_handler(event, context):
    s3 = boto3.client("s3")
    
    client = boto3.client('sns')# decoding form-data into bytes
    post_data = base64.b64decode(event["body"])
    # fetching content-type
    try:
        content_type = event["headers"]["Content-Type"]
    except:
        content_type = event["headers"]["content-type"]
    # concate Content-Type: with content_type from event
    ct = "Content-Type: " + content_type + "\n"# parsing message from bytes
    msg = email.message_from_bytes(ct.encode() + post_data)# checking if the message is multipart
    print("Multipart check : ", msg.is_multipart())# if message is multipart
    if msg.is_multipart():
        multipart_content = {}
        # retrieving form-data
        for part in msg.get_payload():
            # checking if filename exist as a part of content-disposition header
            if part.get_filename():
                # fetching the filename
                file_name = part.get_filename()
            multipart_content[
                part.get_param("name", header="content-disposition")
            ] = part.get_payload(decode=True)# filename from form-data
        #file_name = json.loads(multipart_content["Metadata"])["filename"]
        # u uploading file to S3
        s3_upload = s3.put_object(
            Bucket="aws-bucket-to-store-Resume", Key=file_name, Body=multipart_content["file"]
        )
        
        #Send email to HR
        topic_arn = 'arn:aws:sns:us-east-1:4396202xxxx:Resume_Manager'
        message = 'A job application has been received. Please check the Bucket for all Resume'
        client.publish(TopicArn=topic_arn,Message=message)# on upload success
        return {"statusCode": 200, "body": json.dumps("Thank you for your intrest in this job. We will get back to you soon")}
    else:
        # on upload failure
        return {"statusCode": 500, "body": json.dumps("Upload failed!")}

API Gateway:

Create a REST API using API Gateway and create a Resource ‘upload’ with -method “POST” to allow user send Resume using REST-API. Integrate the API with Lambda function and enable lambda proxy