Python Developer

Django + Scraper Developer – Job Description

Position: Django + Scraper Developer

Job Summary

We are looking for a skilled Django + Web Scraping Developer with 3+ years of experience in developing scalable web applications using Django and building robust web scrapers. The ideal candidate should have strong Python knowledge, experience with scraping frameworks and APIs, and the ability to work with databases and third-party integrations.

Key Responsibilities

• Develop, maintain, and enhance web applications using Python and Django.
• Design and implement reliable web scraping solutions for extracting structured data from websites.
• Develop scrapers using tools such as Scrapy, Selenium, BeautifulSoup, Requests, or similar technologies.
• Handle dynamic websites, pagination, authentication, proxies, CAPTCHA-related challenges, and anti-bot mechanisms where legally and technically appropriate.
• Clean, validate, transform, and store scraped data in databases.
• Develop and integrate REST APIs and third-party APIs.
• Work with databases such as MySQL, PostgreSQL, or MongoDB.
• Optimize scraper performance, reliability, and data accuracy.
• Troubleshoot and fix issues related to scraping, Django applications, APIs, and databases.
• Write clean, reusable, and maintainable Python code.
• Collaborate with developers, project managers, and other stakeholders to understand project requirements.
• Perform testing, debugging, and performance optimization.

Required Skills

• 3+ years of professional experience in Python/Django development.
• Strong knowledge of Python and Django.
• Hands-on experience with Web Scraping / Data Extraction.
• Experience with Scrapy, Selenium, BeautifulSoup, Requests, or equivalent tools.
• Good understanding of HTML, CSS, JavaScript, DOM, and HTTP/HTTPS.
• Experience working with REST APIs and JSON.
• Good knowledge of SQL and databases such as MySQL/PostgreSQL.
• Understanding of Git/version control.
• Strong debugging and problem-solving skills.

Good to Have

• Experience with Celery, Redis, Docker, and Linux.
• Knowledge of cloud platforms such as AWS.
• Experience handling large-scale scraping projects.
• Understanding of proxy rotation, browser automation, and anti-bot techniques.
• Experience with data pipelines and ETL processes.

What We Offer

• Opportunity to work on challenging and real-world projects.
• Collaborative and growth-oriented work environment.
• Learning and professional development opportunities.
• Competitive salary based on skills and experience.

How to Apply

Interested candidates can share their updated resume along with their current salary, expected salary, notice period, and total experience.

Are you looking to break out of the silo of pure-tech engineering and build systems that directly move millions in global revenue? If you want to own an entire, high-impact platform end-to-end and see the immediate business value of your code every single day, this is your playground. At Ultrahuman, you will act as a critical bridge between deep engineering and global market execution, turning data intelligence into autonomous, revenue-driving action across 100+ countries. 

About the Company: 

Ultrahuman is one of the world's fastest-growing wearable companies. The Ultrahuman Ring AIR — the world's lightest sleep-tracking smart ring — sells in 100+ countries. We operate like a product company in every function, and marketplaces is no exception: our Amazon business across the UK, Germany, Canada, Australia, India, the UAE and beyond runs on uh-amazon, an in-house platform we built ourselves. 

Role: Marketplace Platform Engineer 

Location: Begur, Bengaluru 

Schedule: Hybrid. 

Marketplace Platform Engineer 

Turn a read-only intelligence platform into the hands that run a global Amazon business. 

Why this role exists 

uh-amazon already does the seeing: a fleet of agents producing daily intelligence across every marketplace, an automated fulfillment middleware that intercepts and routes every order, and a self-hosted agent platform the team uses without writing code. But it writes almost nothing back to Amazon — every ads change, price correction, and listing push is still done by hand. That write side is unbuilt, and it is worth more than the entire team's cost: the daily briefs already flag large sums of recoverable ad spend that no one has the hands to recover. You will be the platform's owner and the team's force multiplier. 

What you'll own 

• The uh-amazon codebase end-to-end — the FastAPI middleware, the agent fleet, the self-hosted agent platform, and the deploy pipeline 
• The write side, behind staged approval gates — the order-management bridge first, then ads execution, repricing, and listing-push agents, each earning the right to act 
• Platform trust — kill the false-positive classes and fix the chronically failing agents, so the team acts on the briefs instead of second-guessing them 
• Operator self-serve — the team adds and tunes agents through the platform without touching code 

Your first 90 days 

• Ship the order-management bridge that removes the last manual step in fulfillment 
• Ship the first ads-execution agent behind a human approval gate, working the platform's existing recommendation lists 
• Eliminate the top false-positive classes in the daily briefs 

What we're looking for 

• Strong Python (FastAPI or similar) and real API-integration depth — OAuth, rate limits, retries, idempotency; you have built against messy third-party APIs in production 
• LLM-agent experience — you have built tool-using agents or LLM pipelines, designed prompts and tool schemas, and debugged why a model did something 
• Ship-fast evidence — small PRs, production ownership, comfort being the only engineer on a system 
• Comfort owning production writes against a live revenue channel, with gates and audit trails you design 

Strongly preferred 

• Amazon SP-API or Ads API experience specifically — this collapses your ramp to near zero 
• E-commerce domain (order management, marketplaces, repricing, feeds); container/orchestration experience 
• A public GitHub with real contributions 

The requirements are as follows:

1) Familiar with the the Django REST API Framework.

2) Experience with the FAST API framework will be a plus

3) Strong grasp of basic python programming concepts ( We do ask a lot of questions on this on our interviews :) )

4) Experience with databases like MongoDB , Postgres , Elasticsearch , REDIS will be a plus

5) Experience with any ML library will be a plus.

6) Familiarity with using git , writing unit test cases for all code written and CI/CD concepts will be a plus as well.

7) Familiar with basic code patterns like MVC.

8) Grasp on basic data structures.

You can contact me on nine three one six one two zero one three two

Preferred Skills:

• Experience with XML-based web services (SOAP, REST).
• Knowledge of database technologies (SQL, NoSQL) for XML data storage.
• Familiarity with version control systems (Git, SVN).
• Understanding of JSON and other data interchange formats.
• Certifications in XML technologies are a plus.

About the Role

We are actively seeking talented Senior Python Developers to join our ambitious team dedicated to pushing the frontiers of AI technology. This opportunity is tailored for professionals who thrive on developing innovative solutions and who aspire to be at the forefront of AI advancements. You will work with different companies in the US who are looking to develop both commercial and research AI solutions.

Required Skills:

• Write effective Python code to tackle complex issues
• Use business sense and analytical abilities to glean valuable insights from public databases 
• Clearly express the reasoning and logic when writing code in Jupyter notebooks or other suitable mediums
• Extensive experience working with Python 
• Proficiency with the language's syntax and conventions
• Previous experience tackling algorithmic problems
• Nice to have some prior Software Quality Assurance and Test Planning experience
• Excellent spoken and written English communication skills

The ideal candidates should be able to

• Clearly explain their strategies for problem-solving.
• Design practical solutions in code.
• Develop test cases to validate their solutions.
• Debug and refine their solutions for improvement.

*Performs analysis of functional and business requirements

*Applies in-depth or broad technical knowledge to maintain data engineering functions performs solution design.

*Applies the company, open source, and 3rd party technologies to highly complex infrastructure and software solutions.

*Introduce new product features and enhance the platform

*Ability to translate business reporting requirements into a production report.

Programming Languages: Perl, java. Perl programming with strong OOPs knowledge.

UI: HTML, JS
System: Linux must have – good knowledge and shell scripting experience.
Prior experience in infrastructure automation, monitoring will definitely help.


Description:

The person in this role:


- Will be involved in developing new monitoring scripts, enhancement & defect fixes on existing monitors

- Have to be on-call to support any incoming production/P1 internal issues which need urgent attention (team members are on call for a week and we have a weekly rotation policy within the team)
Preferred skills:

- Perl
- Shell scripting

- Unix

- Jenkins