Site Reliability Engineer

Description

Your job is to keep the platforms that handle every click, query and live update stable and fast as a Site Reliability Engineer.

The Site Reliability team looks after uptime, speed and resilience for the systems that run the global product. The work mixes software engineering, automation and incident response to cut manual toil, improve monitoring and keep services healthy across a large, complicated estate.

You will use OpenTelemetry, logging, telemetry and automation to find problems sooner and gain tighter operational control. The role also involves applying AI tools, LLM platforms and coding assistants to raise productivity, support autonomous operations and deepen system insight.

You will work across SRE, development and IT Operations to build reliability into the development lifecycle, lead technical efforts and share knowledge across engineering.

The company is one of the world's largest online gambling businesses, operating since 2000 with over 10,000 employees and more than 120 million customers in 26 languages. Its In-Play focus covers over 1.38 million sporting events a year, with more than 750 concurrent fixtures at peak.

The platform handles over 6 million HTTP requests a day and more than 1.5 million bets an hour at peak, and streams 750,000 live sports, more than anyone else in Europe.

Responsibilities

• Build and maintain resilient tooling, operational APIs and automation.
• Use orchestration and scripts to remove manual work, cut toil and make operations more consistent.
• Write code, telemetry and instrumentation that improve reliability and observability.
• Create dashboards and operational views from Grafana, Splunk, New Relic and related platforms.
• Configure and run Cloudflare edge services through Infrastructure as Code, and connect edge telemetry to observability platforms.
• Investigate incidents end to end, tracing problems from the edge to origin systems and driving remediation.
• Take part in live incident response, post-mortems and root-cause analysis to stop issues from recurring.
• Run monitoring, alerting, APM and analytics tools, including PagerDuty workflows.
• Lead initiatives that improve reliability, observability, performance and continuous improvement across teams.
• Mentor colleagues, share knowledge, and work with IT Operations on tooling that adds business value.

Requirements

• Background in software engineering with Python, Golang, JavaScript or a similar language.
• Familiar with modern practices such as testing, source control and software delivery lifecycles.
• Understanding of SRE concepts, including SLIs, SLOs, reliability measurement and incident management.
• Hands-on experience with observability tools such as OpenTelemetry, Splunk, New Relic, Grafana or PagerDuty.
• Skilled 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, covering DNS, CDN, WAF, DDoS protection and traffic management.
• Able to troubleshoot distributed systems across edge, network, platform, application, dependency and origin layers.
• Experience in a large, 24/7 enterprise where uptime, performance and stability are critical.
• Practical, safe use of LLM platforms and coding assistants to improve productivity, quality and root-cause analysis.

Conditions

This role is eligible for inclusion in the company's hybrid work from home policy.

Everyone is welcome regardless of background; if you need adjustments during recruitment, you can ask for them at application or interview.