Senior Software Engineer

ABOUT US

Datacultr is a global Digital Operating System for Risk Management and Debt Recovery, we drive Collection Efficiencies, Reduce Delinquencies and Non-Performing Loans (NPL’s). Datacultr is a Digital-Only provider of Consumer Engagement, Recovery and Collection Solutions, helping Consumer Lending, Retail, Telecom and Fintech Organizations to expand and grow their business in the under-penetrated New to Credit and Thin File Segments.

We are helping millions of new to credit consumers, across emerging markets, access formal credit and begin their journey towards financial health. We have clients across India, South Asia, South East Asia, Africa and LATAM.

Datacultr is headquartered in Dubai, with offices in Abu Dhabi, Singapore, Ho Chi Minh City, Nairobi, and Mexico City; and our Development Center is located out of Gurugram, India.

ORGANIZATION’S GROWTH PLAN

Datacultr’s vision is to enable convenient financing opportunities for consumers, entrepreneurs and small merchants, helping them combat the Socio-economic problems this segment faces due to restricted access to financing.

We are on a mission to enable 35 million unbanked & under-served people,access financial services by the end of 2026

Position Overview

We are seeking a highly skilled and experienced Software Engineer with 4-8 years of professional experience in Python and Django , specifically in building REST APIs using frameworks like FASTAPI and Django Rest Framework (DRF) . The ideal candidate should have hands-on experience with Redis cache , Docker , PostgreSQL , Kafka , Elasticsearch , and ETL pipelines .

Key Responsibilities

• Collaborate with cross-functional teams to design, develop, and maintain high-quality software solutions using Python, Django (including DRF), FastAPI, and other modern frameworks.
• Build robust and scalable REST APIs, ensuring efficient data transfer and seamless integration with frontend and third-party systems.
• Utilize Redis for caching, session management, and performance optimization.
• Design and implement scalable ETL pipelines to efficiently process and transform large datasets across systems.
• Integrate and maintain Kafka for building real-time data streaming and messaging services.
• Implement Elasticsearch for advanced search capabilities, data indexing, and analytics functionalities.
• Containerize applications using Docker for easy deployment and scalability.
• Design and manage PostgreSQL databases, ensuring data integrity and performance tuning.
• Write clean, efficient, and well-documented code following best practices and coding standards.
• Participate in system design discussions and contribute to architectural decisions, particularly around data flow and microservices communication.
• Troubleshoot and debug complex software issues, ensuring smooth operation of production systems.
• Profile and optimize Python code for improved performance and scalability.
• Implement and maintain CI / CD pipelines for automated testing and deployment.

Key Requirements

What We Offer

Location & Work Model