> Markdown version of [/jobs/ext/4714986-cloud-infrastructure-engineering-manager](https://www.wearedevelopers.com/jobs/ext/4714986-cloud-infrastructure-engineering-manager). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cloud Infrastructure Engineering Manager - **Company:** LevelTen Energy - **Location:** Bothell, WA, United States (Remote available) - **Experience:** Experienced - **Salary:** $185,000 - $225,000 - **Contract:** Permanent contract - **Skills:** Bash Shell, Software as a Service, Cloud Computing, Cloud Computing Security, Cyber Security, Continuous Integration, DevOps, Identity and Access Management, Python (Programming Language), Network Security, Reliability Engineering, Software Vulnerability Management, Datadog, Data Logging, Scripting, Google Cloud, Cloud Monitoring, Grafana, Technical Debt, Amazon Virtual Private Cloud (VPC), Claude, Virtual Agents, Google Gemini, Terraform, Docker - **Published:** November 14, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=96d64072cc96a704 ## About the Role Required: * 5+ years in cloud infrastructure, DevOps or site reliability engineering, including 2+ years managing or leading engineers * Deep hands-on experience with Google Cloud: Cloud Run, GKE, Cloud SQL, VPC networking, IAM and Cloud Monitoring/Logging * Infrastructure-as-code experience with Terraform or similar * Experience building and running CI/CD pipelines and container-based deployments (Docker, CloudRun) * A track record of running production systems: incident management, on-call, SLOs and capacity planning * Working knowledge of cloud security practices and experience partnering with security teams * Experience managing cloud budgets and driving cost optimization * Clear communication with engineers, InfoSec, product and leadership Preferred: * Google Cloud Professional Cloud Architect or Professional Cloud DevOps Engineer certification * Experience with security tools like Wiz, Security Command Center, AlertLogic * Experience with AI Agent platforms, like Gemini or Claude * Experience with FinOps practices and tools for cloud cost visibility * Familiarity with compliance frameworks such as SOC 2 or ISO 27001 * Experience with observability tools such as Datadog * Scripting or programming in Python, Go or Bash * Experience in the energy or data-intensive SaaS sector ## Description LevelTen Energy is hiring a Cloud Infrastructure Engineering Manager to lead a team of engineers who run our Google Cloud Platform (GCP) product infrastructure. You'll own the day-to-day health of our GCP environments while shaping where the platform goes next. This is a player-coach role. You'll lead and develop the team while staying close to the technical work: partnering with lead engineers to design and build new infrastructure, working with InfoSec to keep our systems secure, and managing the reliability and performance of the platform our product runs on., * Lead the team. Manage, mentor, and grow a small team of cloud infrastructure engineers. Run hiring, 1:1s, performance reviews, and career development. * Run day-to-day operations. Own the reliability and operations of our GCP environments, including on-call, incident response, and postmortems, and partner with our program management team on change management. * Build new infrastructure. Work hands-on with lead engineers to design and deliver new infrastructure, from architecture reviews through rollout. * Own infrastructure security. Partner with Engineering on hardening and vulnerability management, and with InfoSec on IAM, network security, compliance, and audit readiness. * Own the roadmap. Build and maintain the infrastructure roadmap, balancing new capabilities, security, scale, and technical debt against product and engineering priorities. * Improve tooling and deployment. Improve our tooling, infrastructure-as-code, and CI/CD processes so software ships faster and more safely. * Track system performance. Define and monitor SLOs, observability, and capacity, and act on what the data shows. * Manage cloud spend. Track GCP costs, forecast budgets, report to leadership, and drive cost optimization.