Python Services

Build fast, reliable, and scalable products with Python

From APIs and data pipelines to automation and AI/ML—our team ships production-grade Python systems with strong foundations: testing, observability, and performance.

Python code editor screenshot

What we deliver

Practical solutions with clean architecture and maintainable code, aligned with your product goals.

Backend APIs & Microservices

Fast, secure APIs with Django/FastAPI. Authentication, rate limiting, observability, and CI/CD baked in.

Data Engineering

Robust ETL/ELT pipelines, orchestration, and monitoring. Clean schemas and reliable transformations.

Automation & Integrations

Script complex workflows, integrate SaaS tools, and streamline operations with maintainable automation.

AI/ML Enablement

Feature engineering, model serving, and evaluation. MLOps patterns for scalable deployment.

Testing & Quality

Pytest-first approach, type hints, linters, and performance profiling to ensure reliability.

Cloud & DevOps

Containerization, serverless where it fits, infra-as-code, and secure secrets management.

Use cases we deliver

Practical, outcome-focused Python solutions mapped to your product and ops needs.

MVP APIs for SaaS

Design and ship a secure, documented REST/GraphQL API with auth, rate limiting, and observability.

Data Pipelines & ETL

Build reliable pipelines for ingestion, transformation, and serving analytics dashboards.

Internal Tools & Automation

Automate back-office workflows, integrations, and reporting to reduce manual effort.

AI/ML Prototyping

Rapidly test models and deploy inference endpoints with strong monitoring and guardrails.

Modern Python stack

We choose proven libraries and frameworks to move fast without sacrificing quality.

Python 3.12+
FastAPI / Django
Pydantic
SQLAlchemy
Celery
Airflow
Pandas / Polars
scikit-learn
PyTorch
System architecture diagram for Python services

How we work

01
Discovery

Define goals, constraints, and success metrics. Align stakeholders and timelines.

02
Architecture

Select frameworks, data models, and infra with a focus on performance and cost.

03
Build

Iterative delivery with short feedback loops. Tests, docs, and observability included.

04
Launch

Harden, scale, and deploy with monitoring dashboards and on-call readiness.

05
Grow

Roadmap, optimize costs, and expand capabilities based on real usage.

Related case studies

Explore how we’ve shipped Python-centric platforms in production.

Platform
Case study tag

See the architecture choices, delivery process, and measurable outcomes.

Fintech
Case study tag

See the architecture choices, delivery process, and measurable outcomes.

Integrations we support

We integrate Python services with the tools you already use—datastores, queues, analytics, payments, and more.

PostgreSQL
MySQL
MongoDB
Redis
Kafka
S3 / Blob
Stripe
Salesforce
Contentful
BigQuery
Snowflake
Elasticsearch

Security & compliance by default

Built-in security practices ensure your Python systems are resilient and compliant with your standards.

OWASP-aligned API design

We document controls, automate checks, and include them in CI so security isn’t an afterthought.

JWT/OAuth 2.0 authentication

We document controls, automate checks, and include them in CI so security isn’t an afterthought.

RBAC/ABAC authorization patterns

We document controls, automate checks, and include them in CI so security isn’t an afterthought.

Encrypted secrets management

We document controls, automate checks, and include them in CI so security isn’t an afterthought.

Input validation & schema enforcement

We document controls, automate checks, and include them in CI so security isn’t an afterthought.

Audit logging & traceability

We document controls, automate checks, and include them in CI so security isn’t an afterthought.

Static analysis & dependency scans

We document controls, automate checks, and include them in CI so security isn’t an afterthought.

PII handling and data retention policies

We document controls, automate checks, and include them in CI so security isn’t an afterthought.

Observability & SRE

Operable systems from day one—logs, metrics, and traces wired in with actionable dashboards and alerts.

  • Structured logging with correlation IDs
  • Metrics (p95 latency, error rate, throughput)
  • Tracing across services and queues
  • Health checks and readiness probes
  • Runbooks & SLOs for critical paths
Observability dashboards preview

Engagement models

Choose how you’d like to work with us—start small, embed a team, or bring us in for targeted reviews.

Sprint-based Delivery

Fixed-scope iterations to ship features quickly with clear acceptance criteria and demos.

Dedicated Team

Cross-functional pod embedded with your team for ongoing roadmap execution and support.

Advisory & Reviews

Architecture reviews, performance tuning, and security assessments on-demand.

Industries

Our Python projects span multiple industries—product platforms, regulated domains, and data-centric use cases.

SaaS
Fintech
EdTech
HealthTech
E-commerce
Ops & Back-office
Data Platforms

FAQs

Ready to ship your next Python project?

Let’s align on goals and timelines. We’ll propose the simplest path to value and grow from there.