DevOps Engineer (AI Automation)

Quick Facts

• £400-£500 per day (Inside IR35)
• Initial 6-month engagement
• Hybrid: 2 days on site in London

Description

Join a fast-paced, collaborative engineering environment to support and scale a modern multi-cloud infrastructure across Azure and AWS. You will design, build, and maintain infrastructure-as-code solutions and automate deployment pipelines for efficient, reliable software delivery, working closely with backend, full stack, and data engineering teams (including Databricks).

Responsibilities

• Design, build, and maintain infrastructure-as-code solutions using Terraform
• Manage, optimise, and support cloud environments across Microsoft Azure and AWS
• Build, enhance, and maintain CI/CD pipelines that support multiple engineering teams
• Collaborate with backend, full stack, and Databricks engineers to ensure smooth deployments and effective environment management
• Drive automation initiatives and implement reliability improvements across the platform
• Monitor, troubleshoot, and continuously improve infrastructure performance, scalability, and security

Requirements

• Proven hands-on experience with Terraform (essential)
• Strong working knowledge of both Azure and AWS cloud platforms
• Experience designing and managing CI/CD pipelines and deployment automation
• Strong understanding of DevOps best practices and infrastructure management
• Ability to work effectively within a cross-functional, agile delivery environment
• Excellent problem-solving and communication skills
• Experience working alongside backend, full stack, or data engineering teams
• Exposure to Databricks environments
• Knowledge of scripting or automation languages such as Python or Bash
• Experience with additional cloud-native technologies and services

Benefits

• Hybrid working model with 2 days per week in the office
• Collaborative team structure with close interaction across engineering disciplines
• Fast-paced, delivery-focused culture with opportunities to influence platform strategy and automation practices