> Markdown version of [/jobs/ext/2176037-site-reliability-engineer](https://www.wearedevelopers.com/jobs/ext/2176037-site-reliability-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Site Reliability Engineer - **Company:** ClearRoute - **Location:** London, UK - **Experience:** Expert - **Salary:** £65,531.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Automation of Tests, Cloud Computing, Cloud Engineering, Code Review, Continuous Delivery, Continuous Integration, Cursor (Graphical User Interface Elements), Apache Hadoop, IntelliJ IDEA, Pair Programming, Regression Testing, Reliability Engineering, Salesforce.Com, Software Engineering, Teradata SQL, Strategies of Testing, Visual Studio Online, Trunk-based Development, Model Validation, Deployment Automation - **Published:** August 22, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5851930942 ## About the Role * Trunk-based development * CI/CD and automated deployment * Feature flags and blue-green deployments * TDD and BDD * Pair programming and collaborative engineering * Automated testing and test strategy * Code review and engineering quality * Cloud-native engineering, ideally AWS * Containers and modern deployment practices * AI-assisted software development * Safely deploying AI-generated code into production We're particularly interested in people who can demonstrate that they've taken a broken, slow or overly manual engineering process and materially improved it at scale. Desirable Experience: * Salesforce testing and automation. * Financial services or other highly regulated environments. * Modernising legacy technology estates, including mainframe or Hadoop/Teradata environments. * Anthropic/Claude or other AI coding platforms. * Setting up developer experience platforms spanning IDE + AI model + agent/tooling. * Platform engineering across developer experience, cloud, automated testing and security. * Large-scale engineering transformation or developer productivity initiatives. ## Description We're looking for a senior, hands-on engineering leader to help a major financial services client transform the way its engineering teams build, test and deploy software. You'll have strong executive sponsorship and the authority to unblock teams, influence engineering strategy and drive change across multiple feature teams. The focus is simple: make engineering faster, safer and more effective - particularly around automated testing, CI/CD, developer experience and AI-assisted development. You'll be working at the intersection of engineering leadership, platform engineering and modern software delivery, with the opportunity to shape how teams work at scale., Drive the Engineering Health Plan * Assess, estimate and prioritise the engineering improvement backlog. * Break the work down across multiple feature teams. * Spend around 20% of your time directly driving the health plan and tracking progress. * Identify blockers and work with senior stakeholders to get them removed. * Influence engineering teams without relying on formal authority. Transform Testing * Take a large-scale Salesforce regression testing process from around three weeks of manual testing to a matter of hours through automation. * Identify and resolve bottlenecks in existing test suites. * Establish scalable approaches to automated testing and regression. * Help teams build testing into their development lifecycle rather than treating it as a final-stage activity. Enable Continuous Delivery * Help engineering teams move towards true automated deployment and CI/CD. * Enable engineers to safely deploy to production at the push of a button. * Champion trunk-based development, feature flags and blue-green deployment strategies. * Work across AWS, containers and modern cloud-native engineering practices. * Improve the overall developer experience and engineering flow. Shape AI-Assisted Engineering The engineering teams are already using Claude to support software development. You'll help review and evolve their approach, including: * How AI coding tools are integrated into the developer workflow. * IDE and tooling choices, including tools such as VS Code, IntelliJ, Cursor, Windsurf and Roo. * Model selection and usage patterns. * Agent/toolchain configuration. * Engineering controls required to safely take AI-generated code into production. ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Are Code Reviews Worth It? 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