Site Reliability Engineer in Stoke-on-Trent

Job Description

As a Site Reliability Engineer, you will enhance system reliability, observability and performance through a strong engineering approach and assist with incident resolution and best practices.

You will have strong software engineering skills, approaching system reliability and observability as a software problem — protecting, providing for, and progressing the performance and availability of our critical systems.

Using your engineering expertise, you will implement solutions that enhance reliability, including service instrumentation with Open Telemetry and improved logging practices.

You will leverage AI tools and LLM platforms in your daily work to reduce toil, drive autonomous operations, and optimise system health, while engineering automation and tooling for effective service management.

Collaboration is key, working across multiple functions to embed reliability and observability best practices throughout the software development life cycle.

Your contributions will ensure our systems meet user demands and foster a culture of continuous improvement.

This role is eligible for inclusion in the Company's hybrid working from home policy.

Qualifications

• Excellent knowledge of programming languages including Python, Golang and Java Script.
• Knowledge and experience of modern software development techniques and lifecycles.
• Excellent knowledge of Site Reliability Engineering (SRE) principles, including the creation and management of effective Service Level Indicators (SLI's) and Service Level Objectives (SLO's) for reliability and customer satisfaction.
• Knowledge of contemporary observability tools, techniques and best practice including Splunk, New Relic, Grafana and Pager Duty.
• Proficiency in shell scripting for automation and system management tasks.
• Experience with Infrastructure as Code (Ia C), automation and orchestration tools such as Ansible and Terraform.
• Prior experience working in a large scale, 24/7 enterprise where system uptime and stability is of paramount importance to the business.
• An AI-native engineering approach, with hands‑on experience using LLM platforms and coding assistants to improve productivity and quality, and the ability to integrate AI-driven telemetry for advanced observability, predictive insights and root‑cause analysis.
• Additional Information
• Developing and maintaining tools that facilitate effective management of our systems, ensuring they are operationally efficient and resilient.
• Working with automation and orchestration platforms to automate manual activity and reduce toil.
• Writing and contributing to code that enhances the reliability and observability of services, including telemetry, operational APIs and tooling.
• Building sophisticated dashboards using a range of telemetry data and dashboarding technologies like Grafana, Splunk and New Relic.
• Actively participating in live incident resolution and post‑mortem analysis, providing effective remediation strategies to improve overall system health and prevent future issues.
• Driving initiatives to enhance system reliability and observability, contributing to a culture of continuous improvement.
• Maintaining and administering existing monitoring and analytic toolsets.
• Mentoring colleagues in use of new technologies or practices.
• Working with IT Operations to provide and support the use of critical tooling that will enable increasing levels of value to the Business.

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