Drimva

Cloudflare

Senior Customer Engineer, Majors - Pittsburgh, PA

Distributed +1 · Senior · Full-time · Posted Sep 3, 2026

Location
Distributed
Pittsburgh, PA
Experience
Customer-facing technical-role experience; years vary by Associate, Senior, Staff, or Principal leveling.
Education
Undergraduate or graduate degree in Computer Science, Engineering, or a related field.
Visa sponsorship
No visa sponsorship policy is stated. Offers may be conditioned on authorization to receive export-controlled software or technology without sponsorship for an export license.

About the job

Leads enterprise customers through technical validation, architecture, adoption, and account growth for Cloudflare’s platform, serving as a quota-carrying technical advisor throughout the customer lifecycle.

What you'll do

  • Partner with Account Executives to discover requirements, design Cloudflare solutions, and lead technical evaluations, presentations, and demonstrations.
  • Guide customer onboarding and adoption through migration blueprints, technical oversight, health monitoring, and executive business reviews.
  • Own commercial outcomes and account expansion while using AI tools and automation to streamline customer-facing workflows.

What they ask for

  • Experience in a customer-facing technical role; required years vary by level.
  • Ability to design and explain complex enterprise network and security architectures.
  • Strong communication and advisory skills, including translating technical concepts into business outcomes.
  • Proven experience in a quota-carrying or revenue-aligned environment; depth in at least four listed technical areas.

Nice to have

  • Experience creating technical enablement resources such as workshops, code samples, or documentation.
  • Experience with LLM orchestration, RAG architectures, and model-access controls; regulatory knowledge and hyperscaler or digital-native backgrounds are also valued.

Tools

DNS, CDN, Zero Trust, WAF, Python, JavaScript, Terraform, Pulumi

AI focus

Uses AI agents, LLMs, and internal platforms to automate routine workflows; applies AI-assisted scripting and log analysis, and advises customers on AI control layers.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 6, 2026 (UTC)