Dynamic Quest is a managed services and cybersecurity firm. Every managed service and project we sell starts as a solution that someone has to design correctly: right architecture, right bill of materials, right labor estimate, right price, delivered on the date we committed to the client. The Solution Design Engineer is that person.

You sit at the center of our quoting cycle. Sales brings the opportunity and the client’s requirements; you turn them into a solution that is technically sound, deliverable by our engineering teams, profitable for DQ, and competitive in the market. You work across four domains of managed infrastructure and you are expected to be credible in all of them, deep in at least two.

This is a design and estimating role, not a sales role and not a delivery role. You are measured on the quality, speed, and accuracy of the solutions you produce and on how well those solutions perform once they are sold.

Where you fit in the process

DQ runs a structured Opportunity-to-Proposal model. Opportunities are classified by client type, size, and service type, and each class carries a defined proposal artifact, review path, and Proposal Commit Date (PCD). The PCD is a commitment to the client, and Design Engineering owns hitting it.

Small and budgetary opportunities move fast: an AI-assisted budgetary estimate is produced within one to two business days and you review it for technical sanity before it goes out. Larger opportunities go through full design: requirements, architecture, environment plan, work breakdown, bill of materials, and pricing, validated at technical and profitability gates before proposal assembly.

You receive structured discovery inputs and you are expected to push back when they are incomplete. Designing on assumptions is how proposals lose money.

What you will do:

Design solutions

•    Translate client requirements and discovery data into complete, deliverable solutions across managed services (Quest Complete) and projects.

•    Produce the standard solution deliverables: work breakdown structure for project labor, environment plan, policy-to-configuration instructions for managed services onboarding, bill of materials, and pricing inputs.

•    Size hardware, software, licensing, and labor accurately. Select the right products and vendors from DQ’s standard catalog and justify exceptions.

•    Design to DQ standards so what you sell is what Engineering can build and Service Operations can run.

Own the quoting cycle

•    Review AI-assisted budgetary estimates for technical validity within the 24-hour target and 48-hour SLA.

•    Hit the Proposal Commit Date on every opportunity you own, and flag risk to the date early when discovery, vendor lead time, or scope threatens it.

•    Carry solutions through the Requirement, Technical, and Profitability validation gates, and present them for Deal Desk review when required.

•    Support Sales in client discovery and design sessions. Ask the questions that surface hidden scope before it becomes unbilled work.

Make the process better

•    Build and maintain reusable design patterns, reference architectures, and estimating templates for common opportunity types.

•    Feed lessons from delivery back into design: when a sold solution runs over on labor or under on scope, you own understanding why and fixing the pattern.

•    Contribute to the discovery intake and quote tooling so the inputs you receive get better over time.

•    Keep current on vendor roadmaps and licensing changes across the four domains and update standards accordingly.

•      You are expected to design competently across all four domains and to be the deep expert in at least two.