Python engineers who build Django APIs, Celery background workers and the data and AI pipelines behind them. They join your team full time, with overlap on US hours.
Most of our Django work sits behind products that process something: documents, records, sports stats or compliance checks. Python fits when the backend does more than serve pages.
Get shortlists within 2 days. Hire in as fast as 1 week.
Retrieval pipelines that make a model look up real data before it answers. Money Ball checks a live NFL database before it replies to a fan.
OCR and handwriting recognition queues that pull fields out of scans. Natif.ai runs incoming files through isolated Django workers.
Celery workers for scheduled checks, renewals and notifications. Alertia warns security firms before a guard’s license expires.
Role-based access, masked fields and audit logs for sensitive records. Fisar handles GDPR subject access requests for school data protection officers.
Products from our portfolio with a Django backend.
AI chatbot that answers NFL stats questions from a live database instead of guessing.
Document-processing backend with OCR and handwriting recognition, documented with Swagger.
Shift scheduling and live patrol tracking for security firms, with license-expiry alerts.
GDPR subject access request tool for school data protection officers.
Garage management with bookings, parts stock and live repair updates for car owners.
Crawler that tracks how websites show up in AI search engines.
Full-time remote engineers, English speaking, for as long as you need them: long-term staffing / team member, medium-term (6 to 12 months), short-term (less than 6 months).
Step 1
Share the Python and Django work, the seniority you need, how many hours should overlap with your team and how long you need the engineer.
Step 2
Within 2 days we send profiles of vetted Python and Django engineers who fit the brief. You talk to them and choose who joins.
Step 3
Your engineer joins your standups, repo and tools full time. Hiring can take as little as a week.
The Python and Django stack our engineers use most on client projects.
pythondjango
celery
PostgreSQL
Redis
Elasticsearch
dockerDjango for most products, because its admin, authentication and ORM save weeks of work. FastAPI suits a small, fast API service on its own. The projects we have delivered so far run on Django.
Yes. Money Ball uses retrieval so the model answers from a live database, and Natif.ai reads scans and handwriting. Both run on Django backends our engineers built.
Our Django backends have shipped with React, Next.js and Vue.js front ends, so we can place full-stack engineers or pair a Python developer with a front-end one.
Yes. We start by getting it running on a supported Python and Django version, then fix what the error logs and slow queries show.
Yes. Our engineers work full time on your project and overlap with US time zones when your schedule needs it.
You do. Everything our engineers write for you, including the source code and the intellectual property in it, belongs to you.
Tell us about the role and we will reply with next steps. Python and Django is already selected; add any other skills the role needs.
Reach our partnerships desk directly. We route every inquiry to the right lead engineer — not a generic inbox.
What clients say
“Stack360 brought enterprise-grade engineering to our build with thoughtful architecture, disciplined delivery, and a team that turned ambitious product requirements into production-ready systems.”
Cameron KashaniData & Analytics Specialist, Strategic Accounts, Google
HeadquarterUnited States
12828 Willow Centre Dr, Houston, TX 77066, USA
Regional OfficeUnited Kingdom
58 St. Johns Road, Barking, Essex, IG11 7XL, United Kingdom
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