Onectus

/ TEAMS · Senior Python Backend Engineering

Hire senior Python backend engineers for production systems.

Hire experienced Python engineers to own API platforms, asynchronous workflows, persistence, integrations and secure production releases—not broad scripting or introductory data-science roles.

2,000+ engineers in our active talent network · Regional recruiters

/ SYSTEM STACK

APPLICATION01

Python · FastAPI / Django

SERVICE02

REST · Validation · Auth

DATA03

PostgreSQL · ORM · Transactions

ASYNC04

asyncio · Celery · Queues

OPERATIONS05

Tracing · Tests · CI/CD

/ AVAILABLE TO HIRE

Specialist engineering profiles.

Profiles show the experience we can source. Individual candidate availability is confirmed after enquiry.

Mihai D.

PYTHON

Senior Python Backend Engineer — FastAPI / Django

Available

11+ years of experience · Romania

Senior Python Backend Engineer — FastAPI / Django with 11 years in production systems, focused on Senior Python Backend Engineer — FastAPI / Django and Production systems.

Senior Python Backend Engineer — FastAPI / DjangoProduction systemsTechnical delivery

Languages: Romanian, English B2+

Ioana R.

PYTHON

Senior Python Backend Engineer — FastAPI / Django

Available

14+ years of experience · Romania

Senior Python Backend Engineer — FastAPI / Django with 14 years in production systems, focused on Production systems and Technical delivery.

Production systemsTechnical deliverySenior Python Backend Engineer — FastAPI / Django

Languages: Romanian, English B2+

Pavel P.

PYTHON

Mid+ Senior Python Backend Engineer — FastAPI / Django

Inquire availability

5+ years of experience · Czechia

Senior Python Backend Engineer — FastAPI / Django with 5 years in production systems, focused on Technical delivery and Senior Python Backend Engineer — FastAPI / Django.

Technical deliverySenior Python Backend Engineer — FastAPI / DjangoProduction systems

Languages: Czech, English B2+

Ema S.

PYTHON

Senior Python Backend Engineer — FastAPI / Django

Inquire availability

12+ years of experience · Lithuania

Senior Python Backend Engineer — FastAPI / Django with 12 years in production systems, focused on Senior Python Backend Engineer — FastAPI / Django and Production systems.

Senior Python Backend Engineer — FastAPI / DjangoProduction systemsTechnical delivery

Languages: Lithuanian, English C1

/ Engineering teams

Production backend hiring, not generic Python keyword targeting.

Onectus builds production software and sources backend engineers for established product teams. For senior Python roles we focus on service ownership, API contracts, concurrency, database performance and operational behavior, and verify framework experience against the candidate's actual shipped systems.

/ Technical specializations

Senior Python skills that matter in operational backends.

The right engineer understands when to choose synchronous or asynchronous execution, how to preserve database consistency and how to ship Python services reliably.

01 / 06

FastAPI and Django services

Service boundaries, dependency design, request validation, Django ORM/DRF and maintainable APIs.

FastAPIDjangoREST
02 / 06

Async I/O and concurrency

asyncio, event-loop constraints, worker design, cancellation, timeouts and CPU-bound workloads.

asyncioASGIConcurrency
03 / 06

PostgreSQL and data correctness

SQLAlchemy/Django ORM, indexes, migrations, transactions, locks and query-plan analysis.

PostgreSQLORMSQL
04 / 06

Background jobs and messaging

Celery or equivalents, retries, idempotency, queues, task observability and safe failure recovery.

CeleryQueuesRetries
05 / 06

API security and integrations

OAuth2/OIDC, authentication, rate limiting, typed contracts, partner APIs and audit trails.

AuthIntegrationsSecurity
06 / 06

Production engineering

pytest, typing, dependency management, containers, OpenTelemetry, profiling and release automation.

pytestTypingCI/CD

/ Project scenarios

Production Python workloads suited to senior engineers.

01

Scale an API with complex I/O

Profile async scheduling, worker capacity, timeouts and connection-pool pressure.

02

Build reliable background processing

Prevent duplicate business events and make Celery failures visible and recoverable.

03

Modernize a Django platform

Improve query behavior, upgrade dependencies and preserve established API contracts.

04

Integrate a data-heavy business backend

Design schema changes, streaming interfaces, authorization and production observability.

/ Practical evaluation

Evaluate Python production depth, not general scripting.

We assess framework-specific ownership, concurrency tradeoffs, real incidents, database behavior and architecture decisions in deployed backend systems.

  1. 01

    Framework architecture

    Can they explain FastAPI/Django service boundaries, validation and middleware decisions?

  2. 02

    Concurrency and task semantics

    Where did asyncio, worker processes or Celery retries help or create problems?

  3. 03

    Data consistency

    How were SQL transactions, migrations, query plans, locks and ORM performance managed?

  4. 04

    Operational responsibility

    Which tests, monitoring, security changes, incidents and releases were personally owned?

/ Sourcing process

Find senior Python engineers for your application stack.

01 / 04

Describe the backend

Python version, FastAPI/Django, database, async model, queues, security and SLAs.

02 / 04

Activate targeted sourcing

Search experienced backend engineers rather than broad Python generalists.

03 / 04

Validate real delivery

Review shipped APIs, concurrency, data correctness, tests and incidents.

04 / 04

Agree working fit

Align seniority, interview process, timezone, onboarding and availability.

Profiles, availability and engagement terms are confirmed for each request.

/ Questions

Hiring senior Python backend engineers

01Do you source FastAPI and Django engineers separately?

Yes. State the framework, API contracts and production ownership, as Django ORM and FastAPI/ASGI patterns can require different experience.

02Can we prioritize asyncio and performance expertise?

Yes. Include I/O profiles, worker model, cancellation, connection pools and throughput requirements.

03Can Python engineers own Celery and PostgreSQL too?

Yes where the role requires background processing and transactional data; experience in both is checked through concrete examples.

04How is this different from hiring a generic Python developer?

We focus on backend architecture, operational reliability, security, concurrency and production data consistency rather than scripts or notebooks.

/ Onectus · TEAMS

Describe the systems you operate.

Tell us the technology, production responsibilities, experience level and working model. We'll activate the appropriate engineering sourcing channels.

Request engineers
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