Customer Engineer III, Outcome, GCP, Google Cloud
Google · Boulder, CO
$152,000–$222,000from the description
Jul 15, 2026
Boulder, CO
Jul 21, 2026
What this job asks for AI summary
A technical customer-facing role focused on getting Google Cloud Platform workloads from signed agreements into active production use. The work centers on building and executing end-to-end deployment plans, removing technical blockers through hands-on coding and systems design, and tracking consumption ramp across customer, partner, and professional services teams. Suits someone with deep cloud architecture experience who can operate at both the engineering and executive stakeholder level.
Senior level · 10+ years · Seattle-Tacoma-Bellevue, WA · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 6 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
Why we read it this way (8)
This role is a hybrid of technical pre/post-sales customer engineering and hands-on deployment work. SOC 15-1211 (Computer Systems Analysts) is the best fit given the customer-facing deployment planning, technical project management, and stakeholder engagement focus; 15-1252 (Software Developers) is a plausible runner-up given the explicit coding/debugging/systems-design responsibilities.
The posting lists two locations (Seattle, WA and Boulder, CO); Seattle is listed first and is the basis for the Washington state compensation disclosure, so it is used as the primary CBSA. Boulder CBSA (14500) is also a valid work location.
The title 'III' maps to Senior in the advertised seniority. The 10-year minimum experience requirement and scope of the role also support a Senior classification.
The degree requirement is 'Bachelor's degree or equivalent practical experience,' which means equivalent experience is accepted — treated as no hard degree gate.
Compensation is stated as $152,000–$222,000/year plus a 42.86% bonus target and equity; only the base salary range is captured in the comp fields.
The multi-agent framework experience (A2A, LangGraph, CrewAI, AutoGen) and AI Studio/Vertex AI experience appear under Preferred qualifications only.
The 'programming languages' and 'systems design' skills are listed in the Minimum qualifications section but are stated broadly without naming a specific language as required; Python and Java are named only under Preferred qualifications.
Ignored 3 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): cloud native architecture, deployment planning, systems design.
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