Senior Named Customer Engineer (UKI)
- United Kingdom
- Senior Level
- Bachelor's degree
- Posted
Skills
Required
- Internet
- TLS
- Coding / Scripting
- Internet properties
- C-suite
- RESTful/GraphQL APIs
- SDKs
- Terraform
- Python
- JavaScript
- Bash
- Lua
- Go
Preferred
- prompt engineering
- AI-assisted scripting
- log analysis
- LLM utilization
- workflow automation
- Applied AI
- LLM orchestration
- Retrieval-Augmented Generation RAG
- model-access controls
Cloudflare as a Senior Named Customer Engineer in the UKI region. In this role, you will be the primary technical advisor for enterprise clients, guiding them through the entire customer journey from pre-sales technical validation to onboarding, deployment architecture, and full lifecycle expansion. You will work closely with Account Executives, provide oversight to technical onboarding and implementation, and carry a variable quota tied to new business acquisition and ongoing account growth. Additionally, you will act as a trusted technical advisor throughout the customer lifecycle and leverage AI to automate routine tasks.
Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure to fit-for-purpose Cloudflare architectures.
Responsibilities
- Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer.
- Carry a variable quota tied directly to new business acquisition and/or ongoing account growth, and be commercially accountable for ensuring deep platform adoption.
Requirements
- Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy
- Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments
- Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS
- Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions
- Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly
- Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least three of the technical areas below:
- Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles
- Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3
- Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives
- Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts
- Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling)
- Undergraduate or graduate degree in Computer Science, Engineering, or a related field
- Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2
Preferred
- AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows
- Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms
- Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls
- Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth
