Senior Engineer, Platform Access
Arm · Cambridge, United Kingdom · United Kingdom
- Employer
- Arm
- Requisition id
- 2026-19435
- First posted (employer ATS)
- (4d ago)
- First seen by this site
- 2026-10-02T13:18:00Z
- Last verified live
- 2026-10-06T01:17:49Z
- Source
- Employer career portal (structured)
Job description
Job Overview: We seek an expert Engineer to join our team dedicated to services supporting Engineering Platform Access. The role involves building and maintaining a secure and scalable Linux VDI environment using Rocket Software’s Exceed TurboX. This environment allows global engineering teams to optimally access high-performance computing environments crucial for developing next-generation products. The ideal candidate will have extensive experience in Linux systems administration, DevOps, cloud platforms (public and private), networking, system monitoring, and support for operations. This role will be responsible for developing, deploying, and improving the infrastructure for VDI solution. Focus areas include availability, security, performance, and user experience. You will solve sophisticated infrastructure and application challenges, perform root cause analysis, lead post-incident reviews, automate to reduce operational workload, and continually improve platform dependability through enhanced monitoring, self-service, and engineering methods. Responsibilities: Experience supporting Linux VDI or remote visualization platforms such as OpenText/Rocket Exceed TurboX (ETX), Citrix, or similar technologies, with familiarity with ThinX, HDX, PCoIP, or related protocols. Experience managing distributed Linux environments across on-premises, HPC, hybrid-cloud, or multi-cloud infrastructure. Semiconductor, EDA, or engineering compute experience is helpful. Proficiency in automation using tools such as Terraform, Ansible, Python, Bash, GitLab CI/CD, and REST APIs, including Infrastructure-as-Code, configuration management, and automated deployment practices. Experience with cloud platforms such as AWS, GCP, Azure, or OpenStack, including secrets management, Vault, or serverless automation. Familiarity with HPC workload management tools, such as IBM Spectrum LSF or comparable schedulers, and enterprise engineering access platforms. Experience implementing monitoring, logging, and observability solutions using Dynatrace, Grafana, ELK/OpenSearch, Splunk, CloudWatch, or similar tools. Understanding of SRE and modern operations practices, including incident resolution, capacity management, AIOps, policy-based automation, self-healing services, and operational toil reduction. Contribute to the future evolution of engineering access services through self-service workflows, policy-aware automation, AI-assisted operations, improved observability, secure cloud access patterns, and scalable service operations. Required Skills & Experience: Strong experience supporting Linux systems in shared, distributed, production, HPC, engineering, or enterprise environments. Experience supporting Linux VDI or remote visualization platforms such as OpenText/Rocket Exceed TurboX (ETX), Citrix, or similar technologies, with familiarity with ThinX, HDX, PCoIP, or related protocols. Practical scripting or automation experience using Python, Bash, Ansible, or similar tools. Proficiency in automation using tools such as Terraform, Ansible, Python, Bash, GitLab CI/CD, and REST APIs, including Infrastructure-as-Code, configuration management, and automated deployment practices. Experience implementing monitoring, logging, and observability solutions using Dynatrace, Grafana, ELK/OpenSearch, Splunk, CloudWatch, or similar tools. Understanding of production support practices, including incident response, handling blocking issues, root-cause analysis, documentation, and continuous service improvement. Familiarity with HPC workload management tools, such as IBM Spectrum LSF or comparable schedulers, and enterprise engineering access platforms. 'Nice to have' Skills and Experience: Certifications in Linux System Administration, DevOps, AWS, GCP, Azure, and Kubernetes are greatly appreciated. Experience with large-scale infrastructure deployments and support in a multi-cloud environment. Familiarity with software development tools and practices, and exposure to cloud-nat
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