About this role
Salary: £44,000 - 76,000 per year
Requirements: We are looking for experienced engineers who are passionate about reliability engineering, cloud technologies and operational excellence.Significant experience improving the reliability, availability and supportability of production services.DevOps expertise, including automation, continuous integration, continuous delivery and collaborative software delivery practices.Strong experience working with public cloud platforms, particularly Google Cloud Platform (GCP), within operational or engineering environments.Strong scripting or programming capability using languages such as Python, PowerShell or Bash to automate operational activities and improve reliability outcomes.Experience implementing and maintaining Infrastructure as Code solutions and engineering platforms using tools such as Terraform.Problem solving and critical thinking skills, with experience diagnosing complex production incidents and driving effective remediation.Collaboration and impactful communication skills, with the ability to build strong working relationships and explain technical concepts to both technical and non-technical audiences.Experience with Google SecOps.Experience working in Site Reliability Engineering, Platform Engineering, Software Engineering or DevOps roles supporting complex production environments.Experience with monitoring and observability platforms such as Dynatrace.Experience using Terraform, GitHub, Kubernetes or similar engineering tooling.Experience working with Jira and Confluence within Agile delivery teams.Professional certifications in GCP or comparable cloud technologies.Experience coaching engineers, developing reusable engineering patterns and improving operational standards.Interest and passion in AI and the application of agentic solutions would be advantageous. Responsibilities: Lead the operation, reliability, scalability and performance improvement of cloud-hosted applications and services.Drive automation initiatives that reduce manual effort, improve consistency and strengthen service resilience.Partner with engineering, platform and product teams to deliver and continuously improve cloud solutions and security data platforms.Lead incident response, problem investigations and root cause analysis activities, ensuring learning is converted into measurable improvements.Develop and enhance observability, monitoring and alerting capabilities that provide actionable insight into service health and customer impact.Mentor engineers and contribute to engineering standards, patterns and communities of practice across the organisation. Technologies: AIBashCloudConfluenceDevOpsDynatraceGCPGitHubSupportJIRAKubernetesPowerShellPythonSecurityTerraform More:
We are Lloyds Banking Group, transforming how data and security are engineered across the business using data, automation and modern architectures to protect our customers at scale. Within the Chief Security Office, our Security Data & AI Lab is building intelligent, AI-driven security capabilities that detect, disrupt and deter threats at pace and scale. This is a senior, full-time hybrid role based in Edinburgh, Manchester or Leeds, with at least two days per week, or 40% of your time, spent at one of our office sites. We support flexible working and job share options, and we offer a wide-ranging benefits package including a generous pension contribution of up to 15%, an annual performance-related bonus, share schemes including free shares, adaptable benefits such as discounted shopping, 30 days holiday plus bank holidays, wellbeing initiatives and generous parental leave policies. We are committed to diversity, equity and inclusion, reasonable workplace adjustments, and creating an inclusive environment where our colleagues can learn, grow and thrive while helping Britain prosper.
last updated 36 week of 2026