Software Engineer, SRE

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

Job summary

bet365 is hiring a Site Reliability Engineer in Manchester to enhance reliability, observability and performance across our platforms. You will treat reliability as a software problem, building instrumentation and automating toil away with AI-assisted tooling.

You'll collaborate with Platform Engineering and IT Operations, using OpenTelemetry, Grafana, Splunk and New Relic to improve service health and incident response. Hybrid working is supported.

Qualifications

• 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 SLI's and 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

• Enhance reliability, observability and performance with engineering best practices.
• Assist with incident resolution and post-mortem analyses to reduce toil.
• Implement solutions that enhance reliability, including service instrumentation with OpenTelemetry and improved logging practices.
• Leverage AI tools and LLM platforms to automate operations and optimise system health.
• Collaborate across multiple functions to embed reliability and observability across the SDLC.
• Build sophisticated dashboards using telemetry data and tools like Grafana, Splunk, and New Relic.
• Mentor colleagues in new technologies and practices.
• Work with IT Operations to support critical tooling and value delivery to the business.

Skills

Python

Golang

JavaScript

SRE principles

SLIs & SLOs

Observability tools

Shell scripting

IaC

Ansible

Terraform

LLM tools

AI-assisted telemetry

Tools

Splunk

New Relic

Grafana

PagerDuty

Ansible

Terraform

Job description

Company Description

We're one of the world’s leading online gambling companies, revolutionising the industry since 2000. Founded by Denise Coates CBE, we now employ over 10,000 people and serve over 120 million customers in 26 languages.

We empower our employees to push boundaries and explore new ideas, cultivating a culture that celebrates and rewards creativity. This offers employees a wealth of growth opportunities, giving them the opportunity to make a real impact in the world of online gambling. As a forward-thinking company, we're breaking new ground in software innovation too, redefining what's possible for our global worldwide.

Our focus on In-Play betting has solidified our market-leading position, featuring more than 1.38 million In-Play sporting events a year. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe (750,000), we handle over 6 million HTTP requests daily and process more than 1.5 million bets per hour at peak.

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.

Qualifications

• 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.

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 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.

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.

Job Details

• Workplace Type: Hybrid
• Department: Platform Engineering
• Full Time/Part Time: Full Time
• Shift Pattern: Days
• 2nd Office Location: UK - Manchester
• Job Type: Standard