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  4. Senior Python Developer

Senior Python Developer

Full-time
PostgreSQL Celery Python

Software company was built from the ground up to specialize in new product development and R&D, tackling the most difficult problems in the tech sphere. Now we've expanded to offer early-stage innovation and ideation plus digital transformation business consulting. Our superpower is to deliver all of this under one roof on a global scale. So let's get started and build a better future together.


Responsibilities

  • Own the system architecture: from choosing frameworks and database structures to designing scalable APIs and services
  • Take a hands-on role in development: build core components, POCs, and critical modules
  • Define and document architectural decisions, patterns, and best practices
  • Lead technical discussions and decisions within the team and with stakeholders
  • Help the team stay unblocked, productive, and aligned with technical direction
  • Review code, guide implementation, and ensure high technical quality across the project
  • Collaborate with DevOps and QA to ensure stability, observability, and smooth deployments


Requirements

5+ years of experience in backend development with Python

  • Proven experience as a Solution Architect, Tech Lead, or Senior Backend Engineer
  • Deep knowledge of Python frameworks (FastAPI, Django, Flask)
  • Strong understanding of:

- microservices architecture

- API design and service boundaries

- data modelling and relational databases (PostgreSQL)

- async programming and queues (e.g., Celery, RabbitMQ)

  • Experience designing systems for scalability, fault tolerance, and maintainability
  • Comfort working with Linux environments, containers (Docker), Git workflows
  • Excellent communication skills and ability to justify architectural decisions
  • Very good English language skills, both written and verbal (min. B2)


Preferred Skills

  • Experience with Azure DevOps, GitHub Actions, or other CI/CD platforms
  • Familiarity with cloud platforms (Azure, AWS, GCP)
  • Experience with system monitoring, logging, and performance profiling
  • Bonus: exposure to AI/ML integration, vector databases (e.g., Qdrant, Pinecone)


Locations: Vilnius, Lithuania (hybrid/remote) or Mexico - Guadalajara (hybrid/remote), EU country (fully remote)

Format: Long-term engagement