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Senior devops engineer

Belfast
TP ICAP
Engineer
Posted: 1 December
Offer description

Role Overview

TP ICAP has undertaken an ambitious program of modernization and Engineering maturity over the next three years. The program is global and across all divisions and applications. There is a desire to move towards faster, safer and more automated product delivery at scale. A key part of this program is to deliver automated CI/CD pipelines, increase developer productivity, shift left many of the traditional practices and deliver more change into production more reliably.

The candidate will be leading this uplift and modernization of engineering capabilities around automation of development, testing and production delivery for TP ICAPs platforms. The candidate will provide hands-on as well as thought leadership in designing this strategy as well as executing with a combination of internal and external teams over the next two years. The candidate is able to educate and influence application development teams globally to adopt new tools and practices, and also demonstrate measurable improvements in productivity, time to market and operational resiliency.

The role requires a business minded, highly collaborative, team-focussed experienced DevOps engineer with exceptional communication skills to work with developers and testers in DevOps principles.

Role Responsibilities

1. Design DevOps modernization and adoption strategy incorporating current industry practices and technologies

2. Engineer internal tooling to implement automation in software development, testing and production delivery

3. Reduce manual overhead involved in software releases by fully automating delivery pipelines that includes testing

4. Improve production stability and resiliency through process improvement and adoption of better observability tools

5. Support application teams in adopting a consistent set of tools, practices and technology to support an agile delivery model, including automation and incremental delivery of software in test and production environments running in the cloud and on-premise

6. In order to operate at scale, engage with vendors and service providers to bring best in class industry practices, speed up internal build as well as accelerate companywide adoption of new tools and practices

7. Assist and architect where appropriate solutions using containerisation and serverless technologies

8. Drive automation for environment management, logging and monitoring

9. To fulfil any additional / ad hoc duties as required to meet the needs of the business.

Experience / Competencies

Essential

10. Bachelors or Masters degree in Computer Science

11. 7-10 yrs experience in practicing and leading DevOps practice in leading Financial or Technology companies

12. Demonstrated experience leading and executing transformation programs involving significant uplift of DevOps and SDLC automation capabilities

13. Past experience delivering measurable process and productivity improvements via DevOps investments and driving a metrics driven practice of continuous improvement

14. Intimately familiar with modern DevOps and SRE principles

15. Deep and broad experience of AWS Cloud platform and services

16. Previous experience in automating and integrating Testing into CI/CD pipelines (unit, integration, smoke testing)

Desired

17. Previous experience working in development teams using Agile methodologies (e.g. SAFe) and practicing Lean Delivery principles

18. Knowledge of third-party automation tools and technologies with relative pros and cons for all stages of SDLC, CI/CD pipelines and observability

19. Platforms; Windows Server, Amazon Linux, RHEL, Ubuntu

20. Proficiency in at least one of the following scripting languages; Python, GO, PowerShell, Bash, Groovy

21. Programming language with a working knowledge in at least one of Java, C# (.NET Framework/Core), JavaScript (Node.js), Ruby, C++

22. Developer tooling; Full stack CI/CD, GitLab, Jenkins, Sonatype Nexus

23. Knowledge and working experience of containerising application components including writing DockerFiles and deploying to Kubernetes

24. Deep understanding of pipelines as code

25. Observability concepts and tooling; Opensearch, Cribl, Grafana, Prometheus, CloudWatch

#LI-ASO #LI-Hybrid

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