Cirrus
1 month ago
Director, Engineering IT Operations
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Company information
- Company
- Cirrus
- Location
- Edinburgh, Scotland Germany
- Posted
- 1 month ago
Job description
In this role, your will oversee the platforms and services that are essential to chip development, including high-performance compute environments, EDA tool infrastructure, job scheduling systems, revision control platforms, enterprise storage, automation, and engineering productivity tooling. The ideal candidate combines deep technical expertise with strong organizational leadership and a proven ability to deliver highly available, secure, and scalable infrastructure for mission-critical engineering workflows.
Key responsibilities
Who you are
Linux Infrastructure
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Extensive experience architecting, deploying, and supporting Linux platforms used for complex engineering applications
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Demonstrated experience administering large-scale Linux environments
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Strong expertise with RHEL, CentOS, or other Linux variants
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Deep knowledge of:
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NFS
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LDAP and Active Directory integration
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DNS and DHCP
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SSH, PAM, and security hardening
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Filesystem permissions, ACLs, groups, and identity management
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Deep expertise in enterprise storage infrastructure, including:
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NAS and SAN topologies
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Management of tens or hundreds of petabytes of storage
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Data backup, disaster recovery, and business continuity strategies for large volumes of engineering data
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Experience supporting:
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5,000+ servers or equivalent compute scale
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Multi-site or global engineering environments
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High-availability infrastructure
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Extensive experience operating and scaling distributed compute environments that support semiconductor design workloads
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Strong working knowledge of IBM Spectrum LSF, including:
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Job scheduling and prioritization
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Queue architecture
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Resource allocation policies
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Fair-share scheduling
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Compute farm optimization
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Regression infrastructure
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EDA workload tuning
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Distributed job execution
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License-aware scheduling
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Experience with:
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Millions of jobs per day preferred
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CPU and memory optimization
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Farm utilization analytics
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Capacity forecasting
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Strong understanding of semiconductor engineering workflows and their infrastructure dependencies
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Familiarity with:
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RTL-to-GDSII flows
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Verification regressions
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Simulation farms
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Synthesis and place-and-route infrastructure
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EDA license management
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Cadence, Synopsys, and Mentor environments
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Tapeout-critical infrastructure reliability
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Clear understanding of:
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The impact of downtime on tapeout schedules
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The importance of deterministic engineering environments
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Reproducibility requirements
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Common performance bottlenecks in EDA workflows
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Deep operational knowledge of Perforce administration at enterprise scale, including:
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Perforce database management and optimization
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Backup and recovery strategies
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Replication and edge servers
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Large binary repository performance
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Access controls and permissions
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Additional experience preferred with:
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Git, GitLab, Gerrit, and GitHub
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CI/CD for hardware development flows
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Artifact management systems
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Application and AI tooling strategy and direction
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Strong background in infrastructure automation, platform engineering, and observability
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Experience with technologies such as:
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Puppet
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Python
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Shell scripting
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Ansible
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Terraform
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Kubernetes preferred
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Experience with monitoring and observability platforms such as:
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Prometheus
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Grafana
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Splunk
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ELK
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Strong understanding of:
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Infrastructure as Code
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Automated provisioning
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Configuration management
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Self-service engineering platforms
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Automation and Infrastructure Engineering
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Revision Control and Data Management
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Semiconductor and EDA Environment Knowledge
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HPC and Compute Farm Administration
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Leadership Qualifications
Organizational Leadership
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Demonstrable experience leading infrastructure or platform engineering teams
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Experience managing senior technical teams, including:
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Senior Linux administrators
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HPC engineers
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Storage engineers
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DevOps or platform teams
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Proven ability to build and scale organizations that support 1,000+ engineers in demanding technical environments
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Demonstrated success leading:
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24x7 production operations
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Incident management and escalation processes
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Root cause analysis and corrective action planning
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Change management programs
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SLA and SLO ownership
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Disaster recovery planning
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Security and compliance initiatives
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Strong ability to work effectively across:
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Silicon engineering
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CAD and EDA teams
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IT and security
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Program management
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Executive leadership
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Proven ability to translate:
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Engineering pain points into infrastructure strategy
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Business priorities into operational execution
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A leadership style that balances strategic vision with operational rigor
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Strong communication skills and the ability to influence across technical and executive audiences
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A hands-on mindset with the judgment to prioritize reliability, scale, and engineer productivity in a fast-paced semiconductor environment
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Cross-Functional Collaboration
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Operational Excellence
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Required skills
- gitlab
- it
- ci/cd
- operational excellence
- communication skills
- security
- incident response
- reliability
- github
- python
- kubernetes
- automation
- git
- collaboration
- devops
- terraform
- prometheus
- grafana
- ansible
- active directory
- dns
- data backup
- change management
- infrastructure as code
- shell scripting
- observability
- influencing
- root cause analysis
- disaster recovery
- incident management
- strategic vision
- dhcp
- cross-functional collaboration
- scalability
- splunk
- sla
- director
- pam
- configuration management
- identity management
- ldap
- program management
- centos
- puppet
- acls
- platform engineering
- business continuity
- synthesis
- san
- nas
- nfs
- mentor
- gerrit
- hpc
- security hardening
- perforce
- rhel
- semiconductor
- elk
- ssh
- executive leadership
- cadence
- synopsys
- distributed compute
- organizational leadership
- eda tools
- petabytes
- security and compliance
- ai tooling
- artifact management
- platform engineering teams
- memory optimization
- revision control
- engineering productivity
- enterprise storage
- operational rigor
- slo
- tapeout
- silicon engineering
- rtl-to-gdsii
- infrastructure strategy
- place-and-route
- self-service platforms
- cpu optimization
- job scheduling systems
- automated provisioning
- linux infrastructure
- capacity forecasting
- high-performance compute
- engineering it operations
- mixed-signal processing
- compute farms
- 24x7 production environments
- cad/eda teams
- filesystem permissions
- ibm spectrum lsf
- farm utilization analytics
- verification regressions
- simulation farms
- eda license management
- senior technical teams
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