Django + DRF / Ninja APIs
Django 5.x with DRF or Django Ninja, OpenAPI 3.1 generation, typed Pydantic schemas, multi-tenant patterns (schema-per-tenant or row-level), and the Django Admin built into the operations workflow, not bolted on.
Services
Python & Django Development Services for US & EU SaaS, Fintech and Data Products
Senior Django and Python engineering for funded teams: Django 5.x with DRF or Django Ninja, FastAPI services where async wins, Celery / RQ / Dramatiq workers, PostgreSQL with proper indexing and partitioning, and PEP 621 / uv-managed monorepos on AWS, GCP and Azure. We ship the Django you wish your last team had shipped — typed, observable, and ready for SOC 2. Dedicated teams from 12,000 EUR/month, project sprints from 25,000 EUR.
Django remains the right call for any product with a non-trivial data model, a non-trivial admin surface, and a roadmap that goes past five years. We pair it with DRF or Django Ninja for type-safe REST APIs, FastAPI for high-concurrency async endpoints, Celery on Redis or RabbitMQ for background jobs, and Postgres 16 with proper partitioning, RLS and partial indexes for multi-tenant SaaS. Our Python engineers ship with mypy strict, ruff, pytest at 80%+ coverage on critical paths, and OpenTelemetry tracing wired into Sentry and Datadog from day one. We are GDPR-aligned · ISO 27001 ready · SOC 2 Type II in progress.
What we build with Python and Django
FastAPI async services
FastAPI for high-concurrency async endpoints — webhook ingestion, fan-out HTTP, LLM streaming. Uvicorn behind Gunicorn or Hypercorn on Kubernetes, with httpx for upstream calls.
Celery / background workers
Celery on Redis or RabbitMQ, Dramatiq or RQ when Celery is overkill, Temporal for long-running workflows. Scheduled jobs via Celery Beat or APScheduler, observable with Flower or Sentry Cron.
Auth + multi-tenancy
django-allauth, dj-rest-auth, Auth0 or Keycloak SSO, JWT or session auth, SCIM provisioning for enterprise. Row-level multi-tenancy with django-tenants when isolation matters.
Data + analytics pipelines
Python data engineering with Pandas, Polars, DuckDB and PyArrow. Airflow or Prefect orchestration, dbt for SQL transformations, output to Snowflake, BigQuery, ClickHouse or Postgres.
Django modernisation
Migrating Django 2.x/3.x to Django 5.x, function-based to class-based views or Ninja, Python 3.8 to 3.12, requirements.txt to uv / Poetry, monolith to modular monolith with django-stubs strict mypy.
Stack and tooling
Python 3.12 / 3.13
Django 5.x
Django REST Framework
Django Ninja
FastAPI
Flask
Celery
Dramatiq
Pydantic v2
SQLAlchemy 2
PostgreSQL 16
django-tenants
Pytest
mypy strict
ruff
uv
Polars
dbt
Airflow
AWS / GCP
How an engagement runs
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01
Discovery
1–2 weeks: read settings.py, models, and migrations history; benchmark slow ORM queries; produce a written ADR comparing DRF vs Ninja vs FastAPI for your domain; sign NDA + DPA.
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02
Foundation
Sprint 1–2: uv-managed dependencies, pre-commit with ruff and mypy strict, GitHub Actions CI, Docker multi-stage build, OpenTelemetry, Sentry, structured logging with structlog, blue/green deploys on EKS or Cloud Run.
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03
Build
Two-week sprints, trunk-based, feature flags via Waffle or Unleash, pytest + factory_boy + hypothesis for property-based tests, contract tests against downstream services, load tests with Locust before each release.
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04
Operate
On-call handover (PagerDuty / Opsgenie), SLO dashboards in Grafana or Datadog, Postgres slow-query review monthly, dependency upgrades via Renovate, quarterly cost review of cloud spend.
Engagement models
Dedicated team
2–6 senior engineers embedded in your roadmap, daily standup in your channel, your repo, your CI, your on-call. Best for product roadmaps with a 6+ month horizon. From 12,000 EUR/month.
Project sprint
Fixed-scope, fixed-budget delivery: discovery + MVP + first production release. Best for new product lines, validated PoCs that need hardening, and stand-alone modules. From 25,000 EUR.
Staff augmentation
One or two senior engineers slotted into your existing squad, your stand-up, your process. Best for filling a known capability gap without disturbing team structure. From 7,500 EUR/month per engineer.
Three-month minimum on all tiers, month-to-month thereafter with 30 days notice. NDA, DPA, and IP assignment signed before kickoff.
Selected related work
Social Media · Consumer Tech
JoyJet
Production social platform — App Store + Google Play, live across the US and EU — with geo Radar, encrypted messaging and a virtual economy.
LegalTech · Mobile · CRM
Signatory Pro
Native iOS and Android e-signature clients with a Symfony + React CRM for a cross-border law firm — KYC onboarding and a defensible evidence trail for US & EU matters.
Logistics · Last-mile · Mobile
xRouten
Android + iOS refactor and rebuild for a German last-mile logistics operator — multi-point route planning, real-time driver tracking and in-app invoicing live in the EU.
Why US & EU teams pick YuSMP for Python & Django development
GDPR-aligned · ISO 27001 ready · SOC 2 Type II in progress · HIPAA-capable · CCPA-acknowledged
Senior engineers, not body shop
Every engineer on your account has 6+ years of production Django experience. No bait-and-switch from the senior who sold the deal to a junior who actually ships.
CET workday + US overlap
CET-aligned squads with a guaranteed 9 AM–1 PM ET overlap for US clients — four hours of synchronous work per day, async docs for the rest. No 3 AM standups for anyone.
Compliance-fluent delivery
GDPR DPAs, SOC 2 Type I/II readiness, HIPAA controls for US healthtech, CCPA notices, EU AI Act for AI features. The compliance work is built into the sprint, not bolted on at audit time.
For regulated workloads we work directly with your auditor or fund's technical advisor and prepare evidence to the standard the reviewer expects — not the standard a generalist consultant assumes.
Frequently asked questions
Why pick Django in 2026 over a Node.js / Go / Rails stack?
Django wins on three axes: a mature ORM that handles complex schemas without leaking to raw SQL too often, the Django Admin which is operationally indispensable for B2B SaaS and internal-ops products, and an ecosystem (django-allauth, django-tenants, django-filter, DRF, Wagtail) that covers 80% of common SaaS needs without you reinventing them. Pick FastAPI for pure-async high-concurrency services. Pick Go for CPU-bound binaries. Pick Rails only if you already have Ruby expertise on the team — the gap to Django is small but the talent pool in EU and US in 2026 strongly favours Python.
Which Django, Python and DRF versions do you standardise on?
Django 5.1 LTS is the default for new builds (LTS through April 2028), with Django 4.2 LTS for legacy migration targets. Python 3.12 default, 3.13 once ecosystem catches up (Q3 2026 for our shop). DRF 3.15+ with Spectacular for OpenAPI 3.1. mypy 1.11+ in strict mode with django-stubs. We use uv for dependency management and ruff for linting and formatting — both have replaced pip-tools, black and flake8 in our toolchain since 2025.
Do you handle EU data residency, GDPR and SOC 2 for Django apps?
Yes. Default deployment is AWS eu-central-1 / eu-west-1, GCP europe-west3 / europe-west1, Azure germany-westcentral on request. PII at rest is encrypted with django-cryptography or pgcrypto, with KMS keys held in the customer account. We sign GDPR Article 28 DPAs, run DPIAs for high-risk processing, and maintain Article 30 records. For SOC 2 Type I/II we ship the controls evidence pack: access reviews, change management via PRs, encrypted backups, audit logs, vendor management. For US clients we mirror in us-east-1 / us-west-2 with CCPA and (where relevant) HIPAA controls.
How do you handle Celery at scale — thousands of tasks per second?
Past ~500 tasks/sec on a single Redis broker, we shard Celery queues by workload type, move heavy fan-out to Dramatiq or Temporal, and adopt Redis Cluster or RabbitMQ with proper prefetch tuning. We monitor with Flower plus Sentry Cron and Datadog APM. For exactly-once semantics we use the outbox pattern on Postgres rather than relying on broker delivery guarantees. The largest pipeline we operate currently runs 8M Celery tasks per day on a 12-worker EKS deployment with p95 latency under 1.2 seconds.
Can you migrate a legacy Django 2.x / Python 3.7 monolith without downtime?
Yes, this is one of our most common engagements. We run incremental upgrades: 2.2 LTS → 3.2 LTS → 4.2 LTS → 5.1 LTS, with the test suite green at every step. Python upgrades 3.7 → 3.8 → 3.10 → 3.12 in parallel. We add django-stubs and mypy strict per app, not globally. The strangler-fig pattern peels off bounded contexts into FastAPI or Django Ninja services where async or independent scaling earns it. Typical 100k-LOC monolith takes 5 to 8 months with no customer-visible downtime.
What does pricing look like for a Django / Python dedicated team or sprint?
Dedicated teams start at 12,000 EUR/month for a 2-engineer pod (typically 1 senior + 1 mid plus fractional tech lead and DevOps). Standard squads are 4–6 engineers at 28,000–42,000 EUR/month with QA, DevOps and PM. Fixed-scope project sprints (discovery + MVP + first production release) start at 25,000 EUR. All engagements include CET workday with 9 AM–1 PM ET overlap for US clients, NDA + DPA + IP assignment signed before kickoff, three-month minimum, then month-to-month with 30 days notice.