Live opening · Posted 3 days ago
Site Reliability Engineer
bet365 · Manchester, England, United Kingdom
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At a glance
The key details from the original listing.
Companybet365
LocationManchester, England, United Kingdom
Job typeFull-time
Work modeHybrid
SkillsPython, JavaScript, Terraform
Source
Smartrecruiters
ListedPosted 3 days ago
About the role
Description supplied by the original job listing.
As a Site Reliability Engineer, you will shape the stability of the systems behind every click, query and live change.
Our Site Reliability team protects and improves the availability, performance and resilience of the systems that support our global product. This role combines software engineering, automation and incident response to reduce toil, sharpen observability and strengthen service health across a complex technical estate.
You will work with Open Telemetry, logging, telemetry and automation to surface issues faster and improve operational control. The role also includes using AI tools, LLM platforms and coding assistants to boost productivity, support autonomous operations and improve system insight.
Working across SRE, development and IT Operations, you will help embed reliability throughout the software development lifecycle, lead technical work and share knowledge that lifts standards across the wider engineering community.
This role is eligible for inclusion in the company’s hybrid work from home policy.
Software engineering background with Python, Golang, JavaScript or similar language.
Knowledge of modern development practices, including testing, source control and delivery lifecycles.
An understanding of SRE principles, including SLIs, SLOs, reliability measurement and incident management.
Hands-on experience with observability tools such as OpenTelemetry, Splunk, New Relic, Grafana or PagerDuty.
Proficiency in shell scripting for automation and system management.
Experience with Infrastructure as Code, including Terraform and Ansible.
Knowledge of Cloudflare or a comparable edge platform, including DNS, CDN, WAF, DDoS protection and traffic management.
Ability to troubleshoot distributed systems across edge, network, platform, application, dependency and origin layers.
Experience working in a large-scale, 24/7 enterprise where uptime, performance and stability are critical.
Practical experience using LLM platforms and coding assistants safely to improve productivity, quality and root-cause analysis.
Employment type
Full-time
Work arrangement
Hybrid
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