Infrastructure Engineer

Bet365; Hatfield; On-site; GBP 40,000 - 60,000; Full time

Job summary

A leading online gambling company in Hatfield is seeking an experienced Infrastructure Engineer to enhance their enterprise infrastructure services. The role involves Linux administration, applying AI-driven techniques for insights, and supporting projects across the department. Ideal candidates should have proficiency in scripting languages like Python or bash, solid understanding of version control, and effective problem-solving skills. This position may require occasional weekend presence for out-of-hours support.

Qualifications

• Fluency in one or more scripting languages such as Python, Go, bash, or PowerShell.
• Solid understanding of CI/CD principles.
• Experience with public cloud environments is advantageous.

Responsibilities

• Enhance system integration capability for efficient project delivery.
• Apply AI techniques for insights and observability improvement.
• Support architects with technical initiatives.

Skills

Linux administration

Python

Git

Problem solving

Time management

Tools

Splunk

Elastic

Job description

Overview

As an Infrastructure Engineer, you will use your skills in Linux administration to integrate, create and enhance enterprise infrastructure services.

Responsibilities

• Enhance system integration capability and support efficient delivery of projects across the department.
• Apply AI-driven techniques to generate insights and improve observability across our estate.
• Support architects with broader technical initiatives and upskill across these areas.
• Provide out-of-hours support on a rota basis, occasionally requiring in-office weekend presence.

Qualifications

• Linux (Red Hat or Ubuntu derivatives).
• Fluency in one or more of Python, Go, bash, PowerShell or Ansible.
• Solid understanding of Version Control (Git) and CI/CD principles.
• Experience working with public cloud is advantageous.
• Fundamental understanding of networking, load balancing, storage and virtualisation.
• Experience in collecting and visualising metric and log data, such as Splunk or Elastic.
• Effective time management, organisation and work prioritisation to meet deadlines while maintaining excellent attention to detail.
• Ability to apply a logical approach to problem solving while under pressure.