Python Developer

• About the Role:

We are looking for an experienced

Python Developer

with expertise in

web scraping

,

automated portal interactions

, and

cloud-native deployment

using

AWS

. The ideal candidate will have hands-on experience working with

Playwright

for browser automation, managing

multi-factor authentication (MFA)

flows, and deploying scalable scraping tasks via

AWS Lambda

and related services.

You will assist in architecting and building robust, secure, and scalable scraping solutions that interact with complex web applications and secured portals.

• Responsibilities:

• Assist with the design and implementation of advanced scraping solutions using

Python

,

Playwright

, and

AWS

services.

• Automate interactions with JavaScript-heavy and authentication-secured websites, including handling

MFA

, CAPTCHAs, and session/token-based login flows.

• Architect scraping pipelines using

serverless AWS components

such as

Lambda

,

Step Functions

,

S3

,

CloudWatch

, and

Secrets Manager

.

• Build systems that scale to support high volumes of data extraction with fault tolerance, retries, and intelligent logging.
• Integrate and manage complex workflows across multiple portals, APIs, and data sources.
• Contribute to architectural decisions, tooling, and best practices.

• Qualifications:

• 5+ years of experience in Python development, with a strong focus on automation and data extraction.
• Proven expertise in

web scraping

using tools like Playwright, Selenium, Scrapy, BeautifulSoup, and requests.

• In-depth experience handling

multi-step authentication flows

, including

multi-factor authentication (MFA)

, CAPTCHA solving, and session/cookie management.

• Proficient in deploying and managing scraping workloads in

AWS

, particularly

Lambda

,

S3

,

IAM

,

CloudWatch

, and

Secrets Manager

.

• Experience with

asynchronous programming

,

headless browsers

, and

JavaScript-rendered content

.

• Solid understanding of web protocols (HTTP, HTTPS, cookies, headers), and ability to reverse-engineer network calls and authentication mechanisms.
• Comfortable working with

APIs

,

JSON/XML

, and data transformation.

• Preferred Qualifications:

• Experience with

CI/CD pipelines

,

Docker

, and infrastructure as code (e.g., CloudFormation, Terraform).

• Familiarity with

data pipeline orchestration tools

such as Apache Airflow or AWS Step Functions.

• Prior experience scraping from

secure or enterprise-level portals

(e.g., financial, healthcare, legal).

• Background in

data engineering

or

ETL workflows

is a plus.

• Exposure to

Python testing frameworks

and writing unit/integration tests.

• Education:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field, or equivalent professional experience.

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office four days, with the flexibility to work remotely day (Friday).

Benefits

iCapital offers a comprehensive benefits package that includes a total compensation program consisting of competitive salary, annual performance bonus, and equity for all full-time employees; healthcare with 100% employer-paid health and dental insurance; and generous paid time off (PTO).

For additional information on iCapital Network, please visit Twitter: @icapitalnetwork | LinkedIn:

• 5+ years of experience in Python development, with a strong focus on automation and data extraction.
• Proven expertise in web scraping using tools like Playwright, Selenium, Scrapy, BeautifulSoup, and requests.
• In-depth experience handling multi-step authentication flows, including multi-factor authentication (MFA), CAPTCHA solving, and session/cookie management.
• Proficient in deploying and managing scraping workloads in AWS, particularly Lambda, S3, IAM, CloudWatch, and Secrets Manager.
• Experience with asynchronous programming, headless browsers, and JavaScript-rendered content.
• Solid understanding of web protocols (HTTP, HTTPS, cookies, headers), and ability to reverse-engineer network calls and authentication mechanisms.
• Comfortable working with APIs, JSON/XML, and data transformation.
• Experience with CI/CD pipelines, Docker, and infrastructure as code (e.g., CloudFormation, Terraform).
• Familiarity with data pipeline orchestration tools such as Apache Airflow or AWS Step Functions.
• Prior experience scraping from secure or enterprise-level portals (e.g., financial, healthcare, legal).
• Background in data engineering or ETL workflows is a plus.
• Exposure to Python testing frameworks and writing unit/integration tests.