Backend Python Engineer

Lorien
London, UK
25 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Compensation
£104,000.0 - £117,000.0
Working hours
Regular working hours

Tech stack

Agile Methodology Artificial Intelligence Amazon Web Services Cloud Computing DevOps Github Python (Programming Language) PostgreSQL NumPy OAuth Tensorflow SQLAlchemy
+8 more
Backend Fastapi Pandas Pytest Kubernetes Terraform Docker Microservices

Requirements

Backend Engineer with strong FastAPI and microservices experience, ideally gained in cloud-native environments. Exposure to AI/GenAI products is highly desirable. Candidates should be comfortable owning technical solutions, contributing to architecture, mentoring others, and working within Agile product teams. Experience with PostgreSQL, Docker, GitHub Actions, and modern Back End engineering practices is essential.

Essential Skills

  • Strong Python development experience (FastAPI, Pydantic, SQLAlchemy, Pytest).
  • Experience with PostgreSQL, Docker, Git/GitHub, GitHub Actions, and microservices.
  • Knowledge of Pandas, NumPy, OpenTelemetry, and cloud-native development.
  • Strong communication, problem-solving, and stakeholder management skills.
  • Ability to take ownership and thrive in a fast-moving environment.

Desirable

  • AWS, Terraform, Kubernetes, and DevOps experience.
  • Exposure to AI/ML and GenAI technologies.
  • Knowledge of OAuth/JWT and modern ML frameworks.

About the company

Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

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Maximizing execution memory effectively via python numpy broadcasting

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Adopting OAuth best practices and removing outdated grants

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Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · World Congress 2025

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Prerequisites for building backends with FastAPI

Ashmi Banerjee · World Congress 2022

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Replacing NumPy with cuPy for straightforward GPU acceleration

Paul Graham Paul Graham · World Congress 2025

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