As a Solutions Engineer, you will serve as the advanced technical lynchpin through the entire sales cycle, orchestrating complex enterprise-grade engagements across both pre
and post-sales phases.
You will act as an authoritative trusted advisor and technical customer advocate within Cloudflare, working closely with Account Executives, Product Management, Engineering, and Customer Success.
Your mission is to find best-fit architectures for high-value prospects, guide major enterprises to their 'time to first value,' and design custom validation approaches for unvalidated complex scenarios.
You will work closely with our Enterprise prospects and customers to educate, empower, and ensure their success on the Cloudflare platform.
Requirements
Minimum 3+ years of experience in a customer-facing sales engineering, consulting, or systems engineering role within enterprise segments.
Knowledge in executing MEDDPICC validation and BANT qualifications.
Production-grade expertise across all layers of the OSI Model, explicitly covering BGP routing protocols, GRE tunneling, TCP/UDP transport mechanics, authoritative and recursive DNS structures, HTTP(S) delivery, and SSL/TLS cryptographic handshakes.
Deep technical knowledge of cloud security and performance portfolios.
Proven experience with multi-cloud/hybrid environments (AWS, GCP, Azure), reverse-proxy topologies, SASE/SSE frameworks, Zero-Trust network access (ZTNA), secure web gateways (SWG), CASB, DLP, and L3/L4/L7 DDoS mitigation architectures.
Demonstrated proficiency with a scripting or programming language (e.g., Python, JavaScript, Bash, Lua, Go) to build custom edge logic, utilize RESTful APIs, or manage Infrastructure-as-Code (IaC) via tools like the Cloudflare Terraform provider.
Polished communication and high emotional intelligence (EQ) with a proven track record of building long-term, trusted-advisor relationships from front-end developers up to senior C-level executives (CIOs, CISOs, CTOs).
Strong ownership to manage projects, meet deadlines, prioritize competing demands, and focus on both quality and execution efficiency.
Proficient in adoption and utilization of AI tools to leverage and expand role capabilities.