Python Backend Engineer (Remote – India)

Compensation: ₹8L – ₹20L • No equity

Dumbl is an early-stage sports technology startup developing an intelligent, hardware-integrated analytics platform.

We're looking for a skilled Python Backend Engineer to help develop our core software systems, data processing pipelines, and analytical capabilities.

This is an initial paid contract position, with the opportunity to transition into a full-time role based on performance and mutual fit.

Responsibilities

• Design, develop, and maintain Python backend services and APIs.
• Build reliable data processing pipelines and analytical workflows.
• Develop and optimize algorithms for processing and interpreting data.
• Work with databases, cloud infrastructure, and hardware-integrated software systems.
• Write clean, efficient, well-tested, and maintainable code.
• Independently troubleshoot technical challenges and deliver working solutions.
• Collaborate directly with the founding and engineering teams.

Requirements

• Strong Python programming and backend engineering skills.
• Experience with APIs, databases, and cloud-based applications.
• Proficiency with NumPy, SciPy, and analytical problem-solving.
• Understanding of data processing, signal processing, and algorithm development.
• Ability to work independently, take ownership, and deliver reliable software.
• Good communication and documentation practices.

Nice to Have

• Experience with machine learning or algorithm-based recognition.
• Experience with sensor data or time-series processing.
• Familiarity with real-time or hardware-integrated applications.

What We Offer

• Fully remote opportunity within India.
• Initial paid contract with potential full-time transition.
• Direct collaboration with the founders.
• Significant ownership of technical development.
• Opportunity to work on an early-stage sports technology product.

Compensation: Based on experience, technical capabilities, and agreed scope of work.

To apply: Please include your resume, GitHub or portfolio, relevant project experience, expected compensation in INR, and earliest availability.