Linux Engineering Lead

Job summary

At Gra***, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.

Qualifications

• We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.
• THE TEAM
• You'll be joining a multi-disciplinary team with strong technical
• Establish standards, tooling and processes that enable systems to scale efficiently
• Improve observability, monitoring and operational visibility across the estate
• Help define the future direction of Linux platform engineering at Gra***
• CANDIDATE PROFILE
• Essential
• Significant experience administering Linux environments at scale
• Strong troubleshooting

Responsibilities

• You'll lead a small team of engineers while driving automation, reliability and operational excellence across the Linux infrastructure used by Gra***'s engineering organisation.
• You will be responsible for leading incident response, driving operational improvements, and setting standards for how Linux systems are managed and supported across the organization.
• While the role includes leadership
• it will initially require a hands-on approach, including direct involvement in troubleshooting, system support, and automation efforts, while building team capability and scaling processes.
• Collaborating intimately with engineering groups, platform engineers, and infrastructure experts, you will guarantee systems stay stable, efficient, and consistent with changing business and product delivery
• Lead and mentor a team of Linux engineers
• Own the reliability, performance and scalability of engineering Linux environments
• Drive adoption of Infrastructure-as-Code and GitOps practices
• Build automation that reduces operational overhead and improves consistency
• Lead major incident response and root cause analysis activities
• Partner with software, platform and infrastructure teams to support evolving engineering

Skills

Degrees

Industry