Jobs / Bui***
Principal Cloud Engineer - AI Platform
Bui*** · Omaha, NE, United States
Omaha, NE, United StatesExp: 10+ yrs175,000-250,000 USD/yearlyRemote
Remuneration
175,000-250,000 USD/yearly
Location
Omaha, NE, United States
Visa sponsorship
Sponsors visa
Job summary
Shape the cloud foundation and platform architecture for production AI agents that support customer workflows securely, reliably, and cost-effectively. Lead Google Cloud Platform networking and workload identity decisions, build reusable Terraform modules and CI/CD pipelines, and establish governed access to large language models. Guide critical incident response and blameless postmortems to improve platform security, resilience, and operational readiness.
Benefits
Medical, dental, and vision coverageLife insuranceShort- and long-term disability benefits401(k) with matching contributionsPaid time off11 paid holidaysPersonal daysParental leavePaid sabbaticalsVolunteer time offWellness programOnsite fitness centerTechnology reimbursementFree daily lunches at the headquarters officeMonthly team events
Qualifications
- 10 or more years architecting enterprise-grade GCP environments
- Advanced knowledge of GCP networking, including VPC Service Controls, Private Service Connect, IAM perimeters, and Workload Identity
- Previous experience at a B2B SaaS company
- Strong infrastructure-as-code practice
- Hands-on experience running production AI or ML workloads, such as model serving, agent runtimes, or inference gateways
- Practical expertise in workload identity and machine-to-machine authorization, including service accounts, short-lived credentials, certificate-based identity, and token delegation
- Track record owning production incidents and making deployment decisions under pressure
- Experience with agent development frameworks, agent runtime platforms, and related tooling
- Experience with automated secrets rotation, policy as code, and governance to limit unauthorized AI deployments
Responsibilities
- Design and maintain infrastructure for production AI agents, including workload identity, gateways, network isolation, and sensitive data redaction
- Lead GCP networking, private connectivity, zero-trust egress, and service perimeter decisions
- Develop reusable Terraform modules and CI/CD pipelines, including temporary validation environments
- Establish centralized LLM access with routing, virtual keys, provider onboarding, observability, and cost attribution
- Document platform and vendor decisions, costs, trade-offs, and open questions
- Coordinate with cloud and AI providers and validate roadmap commitments
- Command critical production incidents and communicate risks and status to technical leaders and executives
- Implement credential, secrets, and AI usage safeguards, including automated secrets rotation and policy-as-code controls
- Lead blameless postmortems and convert findings into measurable platform improvements
Skills
GCPIAMTerraformGitHub ActionsGitLab CIGrafanaOpen Policy AgentOpenAPIOpenTelemetryPrometheusSecrets ManagerVault
Industry
B2B SaaSResidential construction management
Relocation
No