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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 stability
The 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 Responsibilities
Increase stability and velocity through process improvement and tooling
Reduce manual overhead involved in software releases by fully automating delivery pipelines that includes testing
Support 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-premise
Provide guidance on industry best practices for software deployment, development, and observability
Engineer tooling to implement those practices
Assist and architect where appropriate solutions using containerisation and serverless technologies
Drive automation for environment management, logging and monitoring
Engage 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 resources
To fulfil any additional / ad hoc duties as required to meet the needs of the business.
Experience / Competences
Deep and broad experience of AWS Cloud platform and services
DevOps and SRE principles
Very good working knowledge of incorporating testing into CI/CD pipelines
Understanding of various deployment patterns such as blue-green and canary
Platforms; Windows Server, Amazon Linux, RHEL, Ubuntu
Proficiency in at least one of the following scripting languages; Python, GO, PowerShell, Bash, Groovy
Developer tooling; Full stack CI/CD, GitLab, Jenkins, Sonatype Nexus
Knowledge and working experience of containerising application components including writing DockerFiles and deploying to Kubernetes
Deep understanding of pipelines as code
Observability concepts and tooling; Opensearch, Cribl, Grafana, Prometheus, CloudWatch
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