Senior Backend Engineer

Data Idols
Charing Cross, United Kingdom
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 140K

Job location

Charing Cross, United Kingdom

Tech stack

Artificial Intelligence
Automation of Tests
Cloud Computing
Relational Databases
Python
PostgreSQL
Machine Learning
Data Processing
Delivery Pipeline
Backend
GIT
Kubernetes
REST
Docker
Microservices

Job description

Data Idols are working with a rapidly scaling software company who are looking for a Senior Backend Engineer to join their team. The product sits at the intersection of AI systems, complex data workflows, and enterprise-grade reliability, turning sophisticated technology into tools that can be trusted in production.

The Opportunity

This role is about building serious backend infrastructure for AI systems that operate in real-world, high-stakes environments.

You'll be responsible for designing and evolving the backend services that support large-scale data processing, AI model deployment, and secure enterprise workflows. Your work will ensure that complex AI functionality is delivered reliably, performs under load, and meets strict security and compliance expectations.

You'll collaborate closely with machine learning engineers, product managers, and infrastructure specialists to turn advanced AI capabilities into production-ready systems. Alongside hands-on delivery, you'll influence architectural decisions, guide technical standards, and help shape how backend engineering is done as the platform scales.

This is a role for someone who enjoys ownership, depth, and solving hard systems problems.

Requirements

  • Strong expertise in Python and modern backend frameworks
  • Deep knowledge of relational databases, particularly PostgreSQL
  • Strong understanding of RESTful API design and microservices patterns
  • Experience working with cloud platforms and containerised environments (Docker, Kubernetes)
  • Experience with CI/CD pipelines, automated testing, and Git-based workflows

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