Backend & API development
Production services in FastAPI, Django or Flask — authentication, background jobs, integrations and the observability to run them.
- REST and GraphQL APIs
- Async workers and queues
- Third-party integrations
Python software development
We build the Python systems your business runs on.
Voltaris LLC designs, builds and maintains backend services, data pipelines and automation in Python. Senior engineers, a scope you agreed to in writing, and code your own team can pick up on day one.
from fastapi import APIRouter, Depends
from .pipeline import normalize, publish
router = APIRouter(prefix="/ingest")
# 12k events/sec, p99 under 40ms
@router.post("/events")
async def ingest(batch: EventBatch, db=Depends(get_db)):
rows = [normalize(e) for e in batch.events]
await db.copy_records("events", rows)
await publish(rows)
return {"accepted": len(rows)}
- Focus
- Python only
- Typical engagement
- 6–16 weeks
- Test coverage target
- 85%+
- Handover
- Always
What we do
Four things, done properly, rather than a list of every technology in existence.
Data engineering
Pipelines that move, clean and reconcile data on a schedule you can trust — with alerting when a source goes quiet.
- ETL/ELT with Airflow or Prefect
- Warehouse modelling
- Reporting and analytics feeds
Automation & scripting
The manual process someone runs every Monday, turned into a scheduled job with logs, retries and a report nobody has to chase.
- Internal tooling and CLIs
- Document and report generation
- Scraping and data collection
Legacy rescue & ML integration
Untangling the Python 2 script nobody wants to touch, or putting a model behind an API that holds up under real traffic.
- Version and framework upgrades
- Test suites for untested code
- Model serving and inference APIs
How an engagement runs
No discovery phase that bills for three months before a line of code exists.
Scoping call
A 45-minute conversation about the problem, the constraints and the deadline. Free, and you leave with an honest read on whether we're the right fit.
Written proposal
Scope, milestones, price and assumptions in a document you can hold us to. Usually within three business days.
Build in the open
Work happens in your repository against real branches. Weekly demos, reviewable pull requests, no surprise reveal at the end.
Handover
Documentation, runbooks, a walkthrough with your team, and 30 days of support after the last commit.
The stack we work in
Boring, well-supported tools. We will happily justify every one of these choices to your CTO.
Core
- Python 3.12
- FastAPI
- Django
- Flask
- SQLAlchemy
- Pydantic
- Celery
- asyncio
Data
- PostgreSQL
- Redis
- pandas
- Polars
- Airflow
- dbt
- DuckDB
- Kafka
Infrastructure & quality
- Docker
- Kubernetes
- AWS
- Terraform
- GitHub Actions
- pytest
- mypy
- Ruff
Ways to work with us
Pick the shape that matches the problem. Rates are quoted per engagement after the scoping call.
| Model | Best for | Commitment |
|---|---|---|
| Project build | A defined system to deliver — an API, a pipeline, a migration. | Fixed scope, milestone billing |
| Embedded engineer | Your team is at capacity and needs senior Python hands in the sprint. | Monthly, 3-month minimum |
| Maintenance retainer | Keeping a live system patched, monitored and responsive to incidents. | Monthly, cancel with 30 days |
| Technical audit | A second opinion on an existing codebase before you invest further. | Fixed fee, 1–2 weeks |
Pricing, billing, minimum commitments and code ownership are answered in the FAQ.
Have a Python problem worth solving?
Tell us what's broken or what you're building. We'll tell you honestly whether we can help.