Platform Engineering Lead

Innovative clean energy software company seeking a Platform Engineering Lead to own and scale the cloud infrastructure behind a battery energy management platform. This leader will drive platform strategy, DevOps, SRE, security, AI-enabled engineering operations, and eventually build and lead a platform engineering team.

Responsibilities

• Own and evolve cloud infrastructure on Google Cloud Platform (GCP)
• Lead platform architecture, reliability, observability, security, and infrastructure automation
• Drive CI/CD maturity, release automation, deployment standards, and engineering enablement
• Strengthen edge-to-cloud communications supporting connected energy assets
• Establish IAM, access controls, secrets management, and operational security best practices
• Implement and govern AI-powered engineering agents supporting deployments, reviews, incident management, documentation, and troubleshooting
• Build platform standards and eventually lead a growing Platform Engineering function

Requirements

• 8+ years in Platform Engineering, DevOps, SRE, Infrastructure Engineering, or Cloud Architecture, with experience supporting large-scale production environments
• Strong expertise in Google Cloud Platform (GCP), including cloud-native infrastructure, Kubernetes/GKE, Cloud Run, Cloud SQL, IAM, networking, and platform operations
• Hands-on experience with Terraform and Infrastructure as Code, along with ownership of CI/CD pipelines, deployment automation, and release management
• Deep understanding of distributed systems, reliability engineering, observability, monitoring, and incident response in mission-critical production environments
• Strong background in cloud security, including IAM, access controls, secrets management, and operational risk management
• Proven technical leadership experience with strong Python/scripting skills and exposure to AI-powered engineering tools, AI agents, or AIOps initiatives

Preferred Qualifications

• Energy, IoT, Industrial Automation, SCADA, or Operational Technology environments
• Protocols such as DNP3, Modbus, or ICCP
• Experience with Agentic AI, AI Ops, AI governance, or AI-enabled operations
• GCP certifications
• Experience building or leading platform engineering teams

Benefits

• Health, Dental, Vision
• 401(k) with Match
• PTO
• Warrants

Pay

$150,000 - $165,000

Discretionary bonus

Schedule

Hybrid (Onsite approx. once every 2 weeks)

Minimal travel