Principal Cloud Engineer – AI Platform

Buildertrend

. Design and maintain infrastructure behind production AI agents .

Posted 10/12/2026full-timeOmaha • Nebraska • United StatesLead💰 $175,000 - $250,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in architecting enterprise-grade GCP environments, with a strong focus on GCP-native networking, infrastructure as code, and AI workload management. Capable of leading incident response, implementing security safeguards, and driving measurable improvements in operational readiness.

Highest-signal resume keywords

GCP NetworkingInfrastructure As CodeAI Workload ManagementAutomated Secrets RotationIncident Command

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

GCP ArchitectureTerraform DevelopmentCI/CD Pipeline DevelopmentIAM PerimetersWorkload IdentityModel ServingAgent Runtime ManagementPolicy As CodeMachine-To-Machine AuthorizationCredential Management

Soft Skills

Critical ThinkingOwnershipCommunication

Tools & Technologies

GCPTerraformCI/CD ToolsAgent Development FrameworksObservability Tools

Industry Keywords

B2B SaaSZero-Trust SecurityProduction AI AgentsService PerimeterBlameless Postmortems

Tech Stack

Tools & technologies

CloudGoogle Cloud PlatformTerraform

About the role

Key responsibilities & impact

Design and maintain infrastructure behind production AI agents
Lead GCP networking, private connectivity, zero-trust egress, and service perimeter decisions
Develop reusable Terraform modules and CI/CD pipelines
Enable product teams to deploy safely and independently, including temporary validation environments
Establish a centralized approved path for LLM access, including routing, virtual keys, provider onboarding, observability, and cost attribution
Document platform and vendor decisions, including total cost of ownership, trade-offs, barriers to entry, and open questions
Serve as technical counterpart to major cloud and AI providers
Escalate complex issues and validate roadmap commitments
Take incident command during critical production issues
Make go/no-go decisions under pressure and communicate risks and status to technical leaders and executives
Implement credential, secret, and AI-usage safeguards
Implement automated secrets rotation and policy-as-code controls
Lead blameless postmortems and convert findings into measurable improvements in security, resilience, and operational readiness
Use AI as a tool while applying critical thinking and owning final work quality

Requirements

What you’ll need

10+ years of experience architecting enterprise-grade GCP environments
Advanced knowledge of GCP-native networking, including VPC Service Controls and Private Service Connect
Knowledge of IAM perimeters and Workload Identity
Previous experience at a B2B SaaS company
Strong infrastructure as code practice
Hands-on experience running AI or ML workloads in production, such as model serving, agent runtimes, or inference gateways
Practical depth in workload identity and machine-to-machine authorization, including service accounts, short-lived credentials, certificate-based identity, token delegation, and on-behalf-of authorization flows
Track record owning production incidents, including calling deployments under pressure and updating executives during an outage
Experience with agent development frameworks, agent runtime platforms, and emerging tooling
Experience with automated secrets rotation, policy as code, and governance limiting unauthorized Shadow AI deployments
Ability to communicate directly, take ownership of platform outcomes, and turn lessons learned into practical improvements

Benefits

Comp & perks

Exceptional health packages, including medical, dental, and vision coverage
Life insurance
Short- and long-term disability benefits
401(k) plan with Buildertrend matching contributions
Generous paid time off
11 paid holidays
Personal days
Parental leave
Paid sabbaticals
Volunteer time off
Wellness program
Onsite fitness center
Hybrid or remote work opportunities
Technology reimbursement for home technology costs
Free daily lunches at HQ office
Monthly team events