Backend Python Engineer

Lorien; Greater London; On-site; GBP 70,000 - 100,000; Full time

Job summary

Lorien in London is recruiting a Backend Engineer with strong FastAPI/microservices experience and cloud-native background. You will own technical solutions, contribute to architecture, and mentor teammates in an Agile setting.

Applicants should be proficient with PostgreSQL, Docker, GitHub Actions, and modern backend practices, with exposure to AI/GenAI technologies and cloud-native tools like AWS, Kubernetes and Terraform.

Qualifications

• Experience with PostgreSQL, Docker, GitHub Actions and modern backend practices.
• Exposure to cloud-native development and GenAI technologies is highly desirable.
• Strong communication, problem-solving and stakeholder management.
• Ability to own technical solutions and mentor others in Agile teams.

Responsibilities

• Backend engineer responsibilities across architecture, deployment and coding.
• Own technical solutions and contribute to system architecture decisions.
• Mentor teammates and collaborate in Agile product teams.
• Work in cloud-native environments with modern backend practices.

Skills

PostgreSQL

Docker

Git & GitHub

GitHub Actions

Microservices

Cloud-native development

OpenTelemetry

AI/GenAI exposure

AWS

Kubernetes

Terraform

DevOps

OAuth/JWT

Tools

PostgreSQL

Docker

Kubernetes

Terraform

AWS

OpenTelemetry

Job description

• Location: London, Redman Place - onsite 3 days a week.

Job Description:

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 backend engineering practices is essential.

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