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Staff DevOps Engineer

ARM
Job LocationCambridge
EducationNot Mentioned
SalaryCompetitive salary
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent , full-time

Job Description

Job Overview:Arm’s machine learning for verification program is building solutions to key scalability issues facing the semiconductor industry. We use our deep understanding of computer systems to deliver intelligent tools that improve the efficiency of engineering processesused across our enterprise. We are building the tools and infrastructure that will deliver the processor designs of tomorrow, and we need your help!We are creative problem solvers, working together in small, inclusive, and autonomous teams. Together, we identify, prioritise, and address the challenges required to deliver our goals. As part of a distributed team you will work with colleagues around theworld to meet our objectives.Responsibilities:

  • Design, build, and deploy the automation required to securely deliver the software that will transform Arm’s production engineering processes.
  • Collaborate with software engineers, security engineers, and machine learning practitioners to deliver performant infrastructure which balances the needs of all three domains.
  • Contribute effective, performant, and scalable infrastructure for delivering validated software into production HPC (High Performance Computing) and Cloud environments.
  • Thoroughly document the delivered solutions.
Required Skills and Experience:
  • A preference for writing robust and maintainable software.
  • Tolerance for developing immature point solutions when required.
  • Familiarity with modern continuous delivery methodology.
  • Experience using bash or other shell scripting to automate routine work.
  • Experience with distributed systems.
  • Experience with real time monitoring of production systems.
  • Likes to work in an environment where you cooperate closely with a diverse team of colleagues, together striving to fulfil common targets.
  • A willingness to develop new proficiencies by collaborating with experts in other subject areas.
  • The ability to work independently when required.
Nice to have Skills and Experience:
  • Experience in using python for project automation.
  • Experience with cloud services such as AWS, Azure, or Google Cloud Platform (GCP).
  • Experience with containerisation technology such as Docker and Kubernetes.
  • Experience with Jenkins or other continuous integration systems.
  • Understanding of security considerations as related to the software development lifecycle.
  • Experience with Behavior Driven Design methodology
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