Software Engineer, SRE

Bet3651; Manchester; Hybrid; GBP 90,000 - 120,000; Full time

Job summary

bet365 is seeking a Site Reliability Engineer to enhance reliability, observability, and performance across critical systems. You will treat reliability as a software problem, instrument services with OpenTelemetry, and implement AI-assisted tooling to reduce toil and improve health.

The role emphasizes strong programming in Python, Golang, and JavaScript, with IaC experience (Ansible, Terraform) and expert use of Splunk, New Relic, Grafana, and PagerDuty.

Qualifications

• Proficient in Python, Golang and JavaScript.
• Strong understanding of SRE principles, SLIs/SLOs and reliability.
• Experience with automation and IaC tooling (Ansible, Terraform).
• Proficient in shell scripting for automation and management.

Responsibilities

• Develop tools to improve system reliability and operability.
• Automate manual tasks to reduce toil via automation/orchestration platforms.
• Write code that enhances telemetry and observability across services.
• Build dashboards using Grafana, Splunk, and New Relic for system health.
• Participate in live incident response and post-mortems with remediation actions.
• Mentor colleagues in new technologies and practices.

Skills

Python

Golang

JavaScript

SRE principles

Shell scripting

AI-native engineering

Tools

Splunk

New Relic

Grafana

PagerDuty

Ansible

Terraform

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 OpenTelemetry 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.

Requirements

• Excellent knowledge of programming languages including Python, Golang and JavaScript.
• 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 PagerDuty.
• Proficiency in shell scripting for automation and system management tasks.
• Experience with Infrastructure as Code (IaC), 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.

Responsibilities

• 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 dash boarding 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.

Company Culture

At bet365, we're committed to creating an environment where everyone feels welcome, respected and valued. Where all individuals can grow and develop, regardless of their background. We're Never Ordinary, and we're always striving to be better. If you need any adjustments or accommodations to the recruitment process, at either application or interview, please don't hesitate to reach out.