Cloud-Native Software Engineer — Data & AI (London, Hybrid)

bp; Greater London; Hybrid; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Hybrid London working

12-month contract

Exposure to data and AI technology

Cloud-native engineering

Work with advanced AI systems

Job summary

bp in London is seeking a Software Engineer to help deliver data and AI solutions for front-office users. You will design cloud-native platforms, develop Python services, and build REST APIs while working with Docker, Kubernetes, and cloud providers like Azure or AWS.

The role offers a hybrid London work arrangement, exposure to advanced AI systems, and collaboration with data scientists and ML engineers. The contract spans 12 months with opportunities to impact trading technology.

Qualifications

• Software engineering experience.
• Proficiency in Python.
• Experience with REST APIs.
• Knowledge of Docker and Kubernetes.
• Experience with Azure or AWS.
• Understanding of CI/CD.
• Knowledge of infrastructure as code.
• Understanding of authentication and security.
• Experience with AI/ML systems is beneficial.

Responsibilities

• Design cloud-native software platforms.
• Build and scale chatbot solutions.
• Develop Python-based services.
• Build REST APIs.
• Work with Docker and Kubernetes.
• Deploy solutions using Azure and AWS.
• Implement CI/CD pipelines.
• Develop infrastructure-as-code solutions.
• Implement authentication and security controls.
• Build monitoring and operational tooling.
• Collaborate with data scientists and ML engineers.
• Integrate LLM-backed services into production systems.

Skills

Python

REST APIs

Docker

Kubernetes

Azure

AWS

CI/CD

Infrastructure as code

Security

AI/ML

Tools

Cloud platforms

Job description

bp in London is seeking a Software Engineer to help deliver data and AI solutions for front-office users. You will design cloud-native platforms, develop Python services, and build REST APIs while working with Docker, Kubernetes, and cloud providers like Azure or AWS.

The role offers a hybrid London work arrangement, exposure to advanced AI systems, and collaboration with data scientists and ML engineers. The contract spans 12 months with opportunities to impact trading technology.