Lead Site Reliability Engineer - Glasgow

Salary: £100,000 - 100,000 per year

Requirements

• Deep proficiency in reliability, scalability, performance, security, enterprise system architecture, toil reduction, and other site reliability best practices, with the ability to implement these practices within an application or platform
• Fluency in at least one programming language, such as Python, Java Spring Boot, or .NET
• Deep knowledge of software applications and technical processes with emerging depth in one or more technical disciplines
• Proficiency and hands-on experience in observability practices, including white and black box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, or Splunk
• Proficiency in continuous integration and continuous delivery tools such as Jenkins, GitLab, or Terraform
• Experience with container technologies and container orchestration platforms such as ECS, Kubernetes, or Docker
• Experience troubleshooting common networking technologies and issues
• Ability to identify and resolve problems related to complex data structures and algorithms
• Ability to collaborate and communicate effectively across different levels and stakeholder groups
• Experience mentoring or coaching engineers on site reliability practices and engineering standards
• Familiarity with cloud platforms and infrastructure-as-code practices in large-scale enterprise environments
• Experience contributing to or leading communities of practice, internal knowledge sharing, or engineering guilds
• Exposure to chaos engineering or fault injection methodologies to proactively test system resilience
• Ability to evaluate and introduce emerging technologies that improve platform reliability and reduce operational toil

Responsibilities

• Demonstrate and champion site reliability culture and practices, and exert technical influence throughout our team
• Lead initiatives to improve the reliability and stability of our teams applications and platforms using data-driven analytics to improve service levels
• Collaborate with team members to identify comprehensive service level indicators and establish reasonable service level objectives and error budgets with customers
• Demonstrate a high level of technical expertise within one or more technical domains and proactively identify and solve technology-related bottlenecks in our areas of expertise
• Act as the main point of contact during major incidents for our application and identify and solve issues quickly to avoid financial losses
• Document and share knowledge within our organization via internal forums and communities of practice
• Take the lead on resiliency design reviews
• Break up complex problems into digestible work for other engineers
• Act as a technical lead for medium to large-sized products
• Provide advice and mentoring to other engineers

Technologies

• Cloud
• Datadog
• Docker
• Dynatrace
• GitLab
• Grafana
• Java
• Jenkins
• Kubernetes
• Marketing
• Prometheus
• Python
• Security
• Splunk
• Spring
• Spring Boot
• Terraform
• ASP.NET
• DevOps

last updated 36 week of 2026