Platform Engineer (AI)

TL;DR

Platform Engineer (AI): Scaling, securing, and monitoring infrastructure for a wildfire detection platform with an accent on GCP, Kubernetes, and MLOps. Focus on building mature operational processes, automating deployment pipelines, and improving the developer experience in a high-growth startup environment.

Location: Must be based in the US (Preference for Pacific/Mountain time zones). Hybrid in San Francisco or Remote.

Compensation: $146,000 – $220,000

Company

A growth-stage startup leveraging AI, hardware, and software to provide real-time wildfire intelligence and early detection.

What you will do

• Design, implement, and maintain scalable infrastructure using Infrastructure as Code principles.
• Optimize production systems and development workflows through robust CI/CD pipelines.
• Provide expertise in Google Cloud Platform (GCP) services and infrastructure.
• Troubleshoot and resolve complex technical issues in distributed systems.
• Create run-books, metrics, and dashboards to ensure system reliability.
• Participate in on-call rotations to triage and resolve production incidents.

Requirements

• 5+ years of professional experience in a SaaS environment.
• 3+ years of hands-on experience as a Platform, SRE, or DevOps Engineer.
• 3+ years of experience with cloud services (GCP, AWS, or Azure).
• Proficiency with containerization (Docker, Kubernetes) and IaC tools (Terraform, Pulumi).
• Must be based in the US with a preference for Pacific or Mountain time zones.
• Strong communication skills for cross-functional collaboration.

Nice to have

• Advanced knowledge of GCP services (GKE, GCS, IAM).
• Experience supporting AI/ML infrastructure and MLOps lifecycles.
• Strong software development skills in Python or Bash.
• Familiarity with security frameworks like SOC2 or ISO 27001.

Culture & Benefits

• Equity participation for all full-time employees.
• Comprehensive health coverage and retirement contributions.
• Collaborative, creative, and ownership-driven startup culture.
• Focus on professional growth and improving developer workflows.