SRE, Staff AI Infrastructure Engineer
Arm · Posted Oct 29
Semiconductor IP, energy-efficient CPU architecture, and high-performance compute platforms
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About the role
Arm is building a central AI control plane to support safe, scalable and efficient use of AI across its engineering teams. The team delivers and owns runtime platforms spanning Kubernetes, cloud, identity, secrets, networking, telemetry and incident management so that AI services are reliable, secure, observable and supportable at Arm scale. This hands-on staff platform engineering role covers production AI runtime platforms (MCP server infrastructure, model gateways, control-plane components), reliability and observability engineering, and secure-by-default operations.
What you will do
- 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.
Skills used in this role
What the employer is looking for
- Experience Required : Minimum 10 years, preferably up to 15 years
- 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.
Preferred qualifications
- 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!
Benefits and support
- Paid on-call rota
About Arm
Arm architects, develops, and licenses high-performance, energy-efficient CPU products and related semiconductor intellectual property. Its technology powers over 99% of the world's smartphones as well as a vast array of devices ranging from tiny sensors and wearables to cloud-scale AI supercomputers.
- Industry
- Semiconductors
- Company size
- 8000+ employees
- Founded
- 1990
- Location
- Cambridge, United Kingdom
- Funding stage
- Public Company
Funding
Public Company
- 2023-09-14IPO$5.23B
Leadership
Chief Executive Officer, Board Member
Executive Vice President and Chief Financial Officer
Executive Vice President, Chief Legal Officer and Head of Corporate Development
Executive Vice President and Chief Commercial Officer
Executive Vice President and Chief Architect
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