Site Reliability Engineer
As a Site Reliability Engineer, the role is to enhance system reliability, observability and performance through a strong engineering approach and assist with incident resolution and best practices. The successful candidate 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 critical systems.
Using engineering expertise, the role will implement solutions that enhance reliability, including service instrumentation with OpenTelemetry and improved logging practices. The role will leverage AI tools and LLM platforms in 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. Contributions will ensure systems meet user demands and foster a culture of continuous improvement.
- Developing and maintaining tools that facilitate effective management of 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.
- Excellent knowledge of programming languages including Python, Golang and JavaScript (required).
- Knowledge and experience of modern software development techniques and lifecycles (required).
- 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 (required).
- Knowledge of contemporary observability tools, techniques and best practice including Splunk, New Relic, Grafana and PagerDuty (required).
- Proficiency in shell scripting for automation and system management tasks (required).
- Experience with Infrastructure as Code (IaC), automation and orchestration tools such as Ansible and Terraform (required).
- Prior experience working in a large scale, 24/7 enterprise where system uptime and stability is of paramount importance to the business (required).
- An AI-native engineering approach, with hands-on experience using LLM platforms and coding assistants to improve productivity and quality (required).
- Ability to integrate AI-driven telemetry for advanced observability, predictive insights and root-cause analysis (required).
bet365 is one of the world's leading online gambling companies, founded in 2000 by Denise Coates CBE. The company employs over 9,000 people and serves more than 100 million customers in 27 languages, with a market-leading position built on its In-Play betting product. It offers betting across 96 sports and hundreds of thousands of streaming events, handling millions of requests and bets at peak times. Headquartered in Stoke-on-Trent, England, bet365 is known for its software innovation and continues to develop its online betting and gaming platform.