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Fihub
Actively Hiring
Automated financial performance management for e-commerce companies

Senior Django Developer

  • ₹18L – ₹24L
  • Remote • 
  • 5 years of exp
  • Full Time
Reposted: 2 days ago• Recruiter recently active
Visa Sponsorship

Not Available

Remote Work Policy

Remote only

Hires remotely in
RelocationAllowed
Skills
Python
SQL
Django
Swagger
Redis
PostgreSQL
Amazon RDS
Celery
Amazon SQS
API
Github
Docker
AWS Lambda
Pytest
Python Unittest
Amazon ECS
Django-Rest-Framework
Swagger API
GitHub Actions

About the job

About Fihub

Fihub Technologies is an innovative startup dedicated to transforming how early-stage e-commerce companies manage their business performance. We are building a fully automated, AI-powered Business Performance Management (BPM) solution designed for founders and small finance teams of small and medium-sized e-commerce businesses. Our platform eliminates time-consuming onboarding processes and instantly generates key metrics like Customer Acquisition Cost (CAC) and Lifetime Value (LTV), empowering businesses to make data-driven decisions quickly and efficiently.

We are based out of Vienna and London, with an operational footprint in both the North American and European markets.

At Fihub, we're passionate about leveraging cutting-edge technology to simplify financial data management. Our mission is to provide an intuitive, scalable, and reliable solution that addresses the unique challenges faced by early-stage companies.

Role Overview

We are seeking a highly skilled Senior Django Developer with over 5 years of experience to join our dynamic team. In this role, you will architect and implement enterprise-scale financial data systems, integrating advanced AI technologies into our platform. You will work closely with the founders to drive innovation and excellence, leveraging AI to enhance our BPM solution. If you have a deep understanding of building scalable microservices, optimising performance for massive datasets, and are excited about working with AI technologies, we'd love to hear from you.

Core Technical Requirements

  • Expert-level Python/Django with deep understanding of ORM optimization for massive datasets
  • Strong experience with Django REST framework for high-throughput APIs
  • Advanced SQL optimization skills, particularly
  • PostgreSQL for enterprise-scale data
  • Expert AWS knowledge: ECS, RDS (multi-AZ), ElastiCache, SQS, Lambda
  • Proficient in distributed task processing (Celery, Redis) for batch operations
  • Experience with monitoring tools (New Relic, Datadog, Sentry) at scale

Technical Responsibilities

  • Being Architect and implement highly scalable microservices using Django
  • Design APIs handling massive transaction volumes across multiple time zones
  • Implement distributed caching strategies using Redis/Memcached clusters
  • Configure and optimise Elasticsearch for large-scale financial data indexing
  • Manage parallel processing pipelines for bulk financial data operations
  • Build resilient third-party API integration systems with circuit breakers

Tech Stack Details

  • Backend: Django, Python 3.9+, Django REST framework
  • Database: PostgreSQL (with partitioning), Redis clusters
  • Infrastructure: AWS (ECS, RDS, ElastiCache, CloudWatch)
  • Tools: Docker, Git, GitHub Actions Testing: pytest, unittest, coverage.py
  • Monitoring: New Relic, Sentry Documentation: Swagger/OpenAPI

What We Offer

Competitive salary, plus stock options in a fast-growing startup
Work from anywhere, collaborating with a diverse, global team across time zones and cultures
Be at the forefront of integrating AI into business management solutions
Opportunity to travel to EU/UK for business engagements and conferences

If you're excited about the prospect of building enterprise-scale financial data systems and meet the above qualifications, we'd love to hear from you.

About the company

Fihub company logo

Fihub

Actively Hiring
Automated financial performance management for e-commerce companies1-10 Employees
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Founders

Matthias Teufel
Founder • 3 years
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View the team image

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