Backend Engineer

Calyptus

Bristol, United Kingdom

2 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Bristol, United Kingdom

API

Artificial Intelligence

Amazon Web Services (AWS)

Azure

Databases

Cursor (Graphical User Interface Elements)

Python

PostgreSQL

Machine Learning

React

Large Language Models

Prompt Engineering

Reliability of Systems

Backend

FastAPI

Build Management

Containerization

Kubernetes

Front End Software Development

Data Pipelines

Docker

Microservices

Partner with the Machine Learning team to design and implement scalable solutions that meet customer-specific requirements
Work directly with clients to gather requirements, provide technical guidance, and serve as the post-go-live ML point of contact
Develop custom APIs and backend services to enable seamless integration with customer environments
Troubleshoot and resolve complex technical issues, acting as the technical liaison between customers and the engineering team
Deliver small, targeted features to unblock high-priority edge cases and resolve customer tickets
Partner closely with the ML team on inference/data pipeline issues, adding validation and guardrails where needed
Collaborate with Product, Engineering, Customer Success, and Sales to refine features, improve customer experience, and produce clean documentation for smooth handover
Contribute to continuous improvement of backend architecture and services, incorporating customer feedback and industry trends
Build and maintain self-service tooling to enable non-engineers to diagnose and resolve common issues

Proven experience in Python-based backend development; exposure to frontend technologies (particularly React) is desirable
Skilled in troubleshooting complex production issues, ensuring rapid resolution and system reliability
Track record of delivering technical solutions and providing expert guidance to clients in professional services or consulting settings
Ability to design and build scalable, cloud-based systems and APIs that integrate with client systems
Experience with database technologies (preferably PostgreSQL) and backend frameworks such as FastAPI
Knowledge of modern AI tools such as Cursor
Hands-on experience working with LLMs and prompt engineering
Strong communication skills, able to convey complex technical concepts to both technical and non-technical stakeholders
Problem-solving mindset with a passion for customer satisfaction and delivering quality solutions
Experience with containerization and deployment practices (Docker, Kubernetes, AWS/Azure/GCP) is a plus
Demonstrated ability to balance technical excellence with business requirements and time constraints