Solutions Architect

About This Role

This customer-facing technical pre-sales role involves driving customer success through solution architecture, focusing on cloud technologies, DevOps, platform engineering, and AI-driven automation. You will work with the Sales organization from initial technical conversations through proof of concept, deal conversion, and hand-off to onboarding teams. The core of the role is understanding a prospect's current operations and demonstrating how DuploCloud addresses their pain points.

Responsibilities

• Lead technical discovery conversations with prospects' DevOps, platform engineering, SRE, and engineering leadership to deeply understand their current ops workflows, including environment provisioning, release management, Terraform and Kubernetes management, incident response, and security and compliance enforcement
• Map the prospect's workflows onto DuploCloud's 70/30 model, identifying platform-covered parts and custom, organization-specific pieces that need to be built
• Design and build a custom agent tailored to the prospect's specific use case, using the DuploCloud Coding Assistant and DevKit to define the policy model, write skills, and generate the workflow UX
• Deliver compelling live demos and scoped proofs of concept (PoC/PoV), on a laptop or in the prospect's cloud, to prove value on a real workflow and create a clear path to a technical win
• Perform detailed infrastructure assessments of prospects' existing environments and produce cost calculators, business ROI plans, and migration and implementation project plans
• Own technical objection handling, architecture and security reviews, and build-vs-buy conversations with both technical audiences and executives
• Partner closely with the Onboarding and Forward Deployed Engineering teams for a successful hand-off, carrying forward the context and custom agents designed during the pre-sales cycle
• Feed field learnings back to Product and Engineering, and contribute reusable Agents, skills, and demo assets to our Agent library

Requirements

• 5+ years of demonstrated experience as a solutions architect, cloud architect, DevOps/platform engineer, or SRE, including time spent working with both customers and internal teams in a pre-sales, consulting, or delivery capacity
• Strong hands-on knowledge of public cloud platforms (AWS, Azure, GCP); on-prem infrastructure experience is a plus
• Strong knowledge of Kubernetes, ECS, and similar container orchestration technologies
• Strong knowledge of Terraform and similar IaC technologies, and of CI/CD systems (e.g., GitHub Actions, GitLab CI, Jenkins, Argo CD)
• Hands-on experience with AI coding assistants and agentic tooling (e.g., Claude Code, Cursor, or similar), and a working understanding of MCP, skills/prompt design, and LLM trade-offs such as model selection, token cost, and human-in-the-loop controls