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This DevOps engineer will be leading the implementation of automated software delivery for TP ICAPs platforms, with an emphasis on incorporating testing into the CI/CD process, to deliver change at pace whilst maintaining stabilityThe role requires a business minded, highly collaborative, team-focussed DevOps engineer with exceptional communication skills to work with developers and testers in DevOps principles.Role ResponsibilitiesIncrease stability and velocity through process improvement and toolingReduce manual overhead involved in software releases by fully automating delivery pipelines that includes testingSupport the business in adopting processes and techniques to support an agile delivery model Work with architects, developers, testers and operations to automate builds, deployment and release of applications running in the cloud and on-premiseProvide guidance on industry best practices for software deployment, development, and observabilityEngineer tooling to implement those practicesAssist and architect where appropriate solutions using containerisation and serverless technologiesDrive automation for environment management, logging and monitoringEngage with vendors and service providers to build strong relationships that can be leveraged by directly influencing products and services in the interest of the company, enabling the negotiation of favourable terms and extracting the best possible use of external resourcesTo fulfil any additional / ad hoc duties as required to meet the needs of the business.Experience / CompetencesDeep and broad experience of AWS Cloud platform and servicesDevOps and SRE principlesVery good working knowledge of incorporating testing into CI/CD pipelinesUnderstanding of various deployment patterns such as blue-green and canaryPlatforms; Windows Server, Amazon Linux, RHEL, UbuntuProficiency in at least one of the following scripting languages; Python, GO, PowerShell, Bash, GroovyDeveloper tooling; Full stack CI/CD, GitLab, Jenkins, Sonatype NexusKnowledge and working experience of containerising application components including writing DockerFiles and deploying to KubernetesDeep understanding of pipelines as codeObservability concepts and tooling; Opensearch, Cribl, Grafana, Prometheus, CloudWatch#J-18808-Ljbffr