Job Description:
We are building a central AI control plane to support the safe, scalable, and efficient use of AI across Arm’s engineering teams.
This hands-on platform engineering role will help deliver and own the runtime platforms that make AI services reliable, secure, observable and supportable at Arm scale. You will work across Kubernetes, cloud, identity, secrets, networking, telemetry, incident management and automation to provide the production foundation for Arm’s AI platform.
You will initially contribute in three key areas:
Production AI runtime platforms:
• Build/deploy and operate the infrastructure for centrally hosted AI platform services, including MCP server infrastructure, model gateway services and supporting control-plane components.
• Design runtime patterns for isolation, scalability, secure execution, capacity management and cost-aware operation.
• Automate provisioning, configuration, upgrades and lifecycle management using infrastructure-as-code and GitOps patterns.
Reliability, observability and support:
• Define and implement service-level indicators, service-level objectives, alerting, dashboards, runbooks and support workflows.
• Incident response, post-incident review and vendor outage handling for AI services embedded in engineering workflows.
• Build telemetry that helps Arm understand AI platform health, usage, performance, cost and operational risk.
Secure operations by default:
• Ensure platform components meet production readiness, security and compliance expectations.
• Help make secure AI usage the default by providing reliable paved paths rather than manual or fragmented infrastructure.
Responsibilities:
• Build, operate and continuously improve the production infrastructure for Arm’s AI platform services, using both custom and third party solutions.
• Own reliability, scalability, monitoring, alerting, incident response, runbooks and operational readiness for AI platform components.
• Develop automation for provisioning, deployment, configuration, backup, recovery, patching, upgrades and lifecycle management.
• Implement secure runtime patterns, including workload isolation, secrets management, identity integration, network controls and auditability.
• Participate in production support and our paid on-call rota for high impact incident response.
Required Skills and Experience:
• Familiarity with AI platform concepts such as model routing, MCP servers, agentic workflows, RAG systems or LLM observability.
• Strong experience deploying and operating production infrastructure or platform services in a Linux-based environment using Kubernetes, containers, cloud or private-cloud platforms, infrastructure-as-code and CI/CD/GitOps tooling.
• Strong automation and scripting skills, for example Terraform, Go, Python or similar.
• Experience with incident management, problem management, demand forecasting, and production readiness practices.
• Good understanding of security fundamentals for production platforms, including identity, secrets, access control, network segmentation, vulnerability management and audit logging.
“Nice To Have” Skills and Experience :
• Experience operating internal developer platforms, AI platforms, model gateways, MCP infrastructure or other shared engineering platforms.
• Experience with service mesh, policy-as-code, workload identity, sandboxing, secure runtime environments or multi-tenant platform designs.
• Experience with regulated or security-sensitive engineering environments.
• Solid understanding of Open AI tools, products and APIs.
In Return:
Joining Arm means being part of a world-class team that is high-reaching and determined to achieve outstanding results. You will collaborate with industry leaders and innovators, contributing to flawless service builds that improve our global operations. We provide an encouraging and inclusive environment that encourages continuous learning and professional growth. Your success is our success, and together we can build services that compete on the world stage!
Salary Range:
$161,500-$218,500 per year We value people as individuals and our dedication is to reward people competitively and equitably for the work they do and the skills and experience they bring to Arm. Salary is only one component of Arm's offering. The total reward package will be shared with candidates during the recruitment and selection process.
Our 10x Mindset
At Arm, we believe progress happens when people are empowered to think bigger and push beyond what seems possible. Our 10x mindset is about curiosity, ambition and creating impact that will be used by millions. We learn fast, prioritise collaboration and turn bold ideas into real technology. We look for people who are inspired by this way of working and want to grow in an environment where bold ideas are welcomed. Discover how the 10x mindset shapes life at Arm: careers.arm.com
Use of AI in Your Application
At Arm, we embrace the benefits AI can bring, including in recruitment. You may use AI to support your preparation, such as improving the clarity of written responses, practicing interview questions, or learning more about our industry. However, your application and interview responses must reflect your own thinking, experience, and abilities. We want to understand your authentic perspective, creativity, and approach to problem solving. As such, you may not use AI to complete assigned tasks as part of any assessments. If you plan to use AI-supported or assistive technologies as part of a reasonable adjustment, please contact accommodations@arm.com so we can support you.
Recruitment Adjustments and Accommodations
At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.
Hybrid Working
Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.
Equal Opportunities
Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Requirements
Must-haves
We are building a central AI control plane to support the safe, scalable, and efficient use of AI across Arm’s engineering teams.
You will initially contribute in three key areas:
Build/deploy and operate the infrastructure for centrally hosted AI platform services, including MCP server infrastructure, model gateway services and supporting control-plane components.
Design runtime patterns for isolation, scalability, secure execution, capacity management and cost-aware operation.
Automate provisioning, configuration, upgrades and lifecycle management using infrastructure-as-code and GitOps patterns.
Define and implement service-level indicators, service-level objectives, alerting, dashboards, runbooks and support workflows.
Incident response, post-incident review and vendor outage handling for AI services embedded in engineering workflows.
Build telemetry that helps Arm understand AI platform health, usage, performance, cost and operational risk.
Ensure platform components meet production readiness, security and compliance expectations.
Help make secure AI usage the default by providing reliable paved paths rather than manual or fragmented infrastructure.
Build, operate and continuously improve the production infrastructure for Arm’s AI platform services, using both custom and third party solutions.
Own reliability, scalability, monitoring, alerting, incident response, runbooks and operational readiness for AI platform components.
Develop automation for provisioning, deployment, configuration, backup, recovery, patching, upgrades and lifecycle management.
Implement secure runtime patterns, including workload isolation, secrets management, identity integration, network controls and auditability.
Participate in production support and our paid on-call rota for high impact incident response.
Familiarity with AI platform concepts such as model routing, MCP servers, agentic workflows, RAG systems or LLM observability.
Strong automation and scripting skills, for example Terraform, Go, Python or similar.
Experience with incident management, problem management, demand forecasting, and production readiness practices.
Good understanding of security fundamentals for production platforms, including identity, secrets, access control, network segmentation, vulnerability management and audit logging.
Experience operating internal developer platforms, AI platforms, model gateways, MCP infrastructure or other shared engineering platforms.
Experience with service mesh, policy-as-code, workload identity, sandboxing, secure runtime environments or multi-tenant platform designs.
Experience with regulated or security-sensitive engineering environments.
Solid understanding of Open AI tools, products and APIs.
Nice-to-haves
“Nice To Have” Skills and Experience :
Application prep
Use the role’s language and application details while tailoring your materials.