Hire Python Developer

We drop proven Python engineers straight into your sprint backlog, ready to write production-grade code from day one. Each developer brings deep Django, FastAPI, and data-engineering expertise, plus solid DevOps habits—so your product gains new features, tighter performance, and cleaner architecture without resetting deadlines. From one-off API builds to long-term platform work, we plug into your toolkit, match your release rhythm, and keep the commits flowing.

Talk to a Python Lead
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What We Offer

API & Microservices
Data Engineering Pipelines
ML & AI Integration
Web Apps with Django / FastAPI
Automation & DevOps Scripting
Legacy Migration & Refactoring

API & Microservices

We design and ship REST and GraphQL endpoints with Django REST Framework or FastAPI, wrap them in unit tests, and containerize the whole stack so new features roll out without breaking legacy calls.

Data Engineering Pipelines

Our developers build Pandas- and PySpark-driven workflows that pull data from SaaS apps, clean it, and land it in warehouses like Snowflake or BigQuery on an hourly schedule—ready for analytics or machine-learning jobs.

ML & AI Integration

Need a recommendation engine, fraud-detection model, or computer-vision endpoint? We package PyTorch or TensorFlow models behind an API, wire up feature stores, and automate retraining so accuracy doesn’t drift.

Web Apps with Django / FastAPI

We spin up admin dashboards, customer portals, and B2B SaaS front ends, leaning on Django’s ORM for speed of delivery or FastAPI for raw throughput. CI/CD pipelines push every merge to staging in minutes.

Automation & DevOps Scripting

From infrastructure drift checks in Terraform to Slack bots that surface daily KPIs, we write Python scripts that cut manual toil and keep ops budgets lean.

Legacy Migration & Refactoring

Stuck on Python 2 or an aging monolith? We break large codebases into services, bump dependencies, and raise test coverage so you can ship faster and sleep better.

Business Gains & KPI Uplift

A seasoned Python hire adds velocity without ballooning payroll, turns stalled feature ideas into shipped code, and closes long-standing gaps in test coverage.

  • 1

    Faster Release Cycles

    Clean pull requests, high unit-test ratios, and airtight CI/CD scripts mean features reach staging days sooner, giving product teams quicker feedback loops.

  • 2

    Lower Technical Debt

    We refactor tangled views, split brittle monoliths, and raise coverage to 90 %+, so the codebase stops fighting every new requirement.

  • 3

    Scalable Architecture

    Event-driven patterns, async workers, and container orchestration keep response times flat even when monthly active users double.

  • 4

    Cost Control

    Right-sized cloud resources, optimized queries, and automated housekeeping jobs trim compute spend by up to 30 % without sacrificing uptime.

  • 5

    Security Built-In

    OWASP-aware coding habits, automated dependency checks, and infrastructure-as-code reviews block common exploits before they hit production.

  • 6

    Knowledge Transfer

    Pair programming and project-wide docs lift your in-house team’s Python proficiency, reducing future reliance on outside help.

Challenges We Unstick

Tough problems pile up when a codebase grows. We step in where momentum stalls and push features back into the mainline.

Spiking Response Times

We hunt down slow queries with query-plans and profilers, refactor hot paths into async FastAPI handlers, and bring P99 latency back under 200 ms.

Unreliable Data Jobs

Batch pipelines that miss their windows hurt dashboards and ML models. We redesign DAGs, add idempotent tasks, and run them on Airflow so every load hits its SLA.

Version Drift & Dependency Hell

Forgotten virtualenvs and Python 2 relics block new libraries. We pin and upgrade packages, swap abandoned ones, and raise test coverage before merging.

Scaling for Traffic Spikes

Promo campaigns and investor demos shouldn’t crash the stack. We add horizontal autoscaling, Redis or RabbitMQ queues, and metrics that alert long before users feel pain.

Security Gaps

Out-of-date dependencies and hard-coded secrets invite exploits. We wire up SCA scanners, move secrets to vaults, and add threat-model reviews to the pull-request checklist.

Thin Unit-Test Nets

A product built on hope breaks at the worst time. We build fixtures, parameterized tests, and coverage gates so every commit proves it won’t regress core flows.

Ready to clear your backlog?

Why Choose WiserBrand

A Python hire only helps if the rest of the delivery machine runs smoothly; ours does.

  • 1

    Deep Bench, Zero Guesswork

    Our Python roster spans Django veterans, data-pipeline architects, and ML engineers—so we slot the right skill mix into your sprint on day one and keep bench swaps painless when scope changes.

  • 2

    Fast Onboarding Playbook

    We show up with pre-built checklists for environment setup, coding standards, and release gates, turning the first week from hand-holding into merged pull requests.

  • 3

    DevOps Baked In

    Every developer writes Terraform, Helm, or Ansible alongside Python. Infrastructure and application changes ship in the same PR, cutting the lag that usually lives between code and cloud.

  • 4

    Proven Domain Fluency

    From fintech risk engines to retail demand-forecasting and healthcare data lakes, we’ve shipped production Python in highly regulated spaces—and we bring that compliance muscle to your audit trail.

  • 5

    Radical Transparency

    You get daily Slack threads, weekly burn-down snapshots, and open access to the repo—not just a polished demo every other Friday. Issues surface early, fixes land faster.

  • 6

    Time-Zone Friendly Collaboration

    Kyiv-based teams overlap a full workday with both EU mornings and US mornings, so stand-ups and reviews happen during your core hours, not at 2 a.m.

Engagement Models

A good contract flexes with product demands, so we keep agreements simple and swap-ready.

Dedicated Python Squad

Spin up a full-stack pod—engineers, QA, DevOps—who live inside your roadmap and own entire workstreams for as long as you need velocity.

Augmented Specialist

Drop one or two high-impact developers into your in-house team when a spike in tickets or a niche skill gap slows releases.

Fixed-Scope Build

For clearly framed features or MVPs, we quote a cap-price, sign off on acceptance criteria, and ship to production without budget creep.

Our Experts Team Up With Major Players

Partnering with forward-thinking companies, we deliver digital solutions that empower businesses to reach new heights.

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Delivery Playbook

Fast code is only useful if it lands predictably. Our five-step flow keeps work visible and shippable.

01

Requirement Mapping

We unpack epics, success metrics, and non-functional constraints with product and ops leaders, then translate them into tickets.

02

Team Match

A solutions architect hand-picks developers whose past commits mirror your tech stack and domain quirks.

03

Kickoff Sprint

Local dev environments, CI pipelines, and staging slots go live in week one, followed by the first feature demo—so momentum is tangible from day five.

04

Continuous Delivery

Short sprints, pull-request reviews, and automated tests keep master always releasable. Cloud resources scale by pipeline, not by guesswork.

05

Handoff & Support

When objectives are met, we leave descriptive docs, hand over IaC, and stay on retainer for monitoring or future feature waves.

Hire Python Developer FAQ

How quickly can a developer start?

Typical onboarding takes one week from the signed agreement to the first merged PR.

What time zones do you cover?

Kyiv-based engineers overlap with EU mornings and US mornings, so daily stand-ups hit your working hours.

Who owns the code?

You hold 100 % IP rights from the first commit; repos sit in your GitHub or GitLab org.

Can the team scale mid-project?

Yes. We keep vetted Python engineers on standby and can double headcount inside two weeks.

What project management tools do you use?

We adapt to your stack—Jira, Trello, Azure Boards—but always couple it with Slack and Git pull-request workflows for transparency.