To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.
Embark on a transformative journey as a SRE Engineer At Barclays, our vision is clear –To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.
The location of your role will be Glasgow/Knutsford.
Some other highly valued skills may include: * Bachelor’s degree in computer science or related field with depth in systems engineering, networking, and distributed systems design. * Experience with Kubernetes, service mesh technologies, and microservices reliability patterns in production environments. * Knowledge of compliance requirements, and experience working with audit/regulatory frameworks.
You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.
To be successful as a SRE Engineer, you should have experience with: * Good SRE experience with experience implementing reliability practices, defining SLOs/error budgets, uptime and supporting incident response for multi-layered distributed systems. * Proficient in cross region cloud platforms (AWS/Azure/GCP), observability tools (Prometheus, CloudWatch), and automation frameworks with experience of reducing toil. * Solid infrastructure as code skills (Terraform, CloudFormation) with experience building self-service platforms, tooling, and deployment pipelines for engineering teams. * Demonstrated ability in capacity planning, performance tuning, and cost optimisation with experience managing production systems at significant scale. * Experience in observability and monitoring, metrics collection, logging, distributed tracing and dashboard creation * Security experience including encryption, secrets management, authentication and authorisation standards including OAuth, SAML and API Key Management * Programming and/or scripting experience with Python for automation and monitoring. * Experience with modern testing approaches including chaos and performance testing. * Understanding of Large Language Models and Agentic frameworks * Self-starter with leadership experience mentoring SREs, running post-mortems, and driving reliability improvements across engineering teams with good collaboration skills.
