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Senior Cloud Engineer

About Gridware

Job Full source details
Gridware San Francisco, San Francisco, CA Source published Sep 20, 2026 Verified 8 hours ago
✓ 100% verification score · Source: Gridware (lever) · Always confirm final requirements on the original source.
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EmploymentFull-Time

Overview

About Gridware

Full job description

About Gridware Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware’s advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit www.Gridware.io.

Role Description We’re scaling the deployment of critical infrastructure monitoring devices to detect real-world fault events that lead to wildfires. The platform you’ll build and operate ingests millions of events per day from devices in the field, powers customer-facing dashboards and alerting, and supports the data science work that turns raw signals into grid intelligence.

You will own AWS infrastructure, Kubernetes (EKS), CI/CD, and observability end-to-end, partnering with our Cloud Security team to keep the platform safe and compliant, and with backend, firmware, and data teams to keep them shipping fast. As an early member of the DevOps team, you’ll have a direct hand in shaping how Gridware builds, deploys, and runs production systems for years to come.

Design, build, and operate scalable, secure, and highly available cloud infrastructure across AWS.

Own and evolve our Kubernetes platform, enabling reliable application deployment and operations through GitOps best practices.

Build and maintain CI/CD systems that improve developer velocity, release quality, and operational reliability.

Manage and optimize event-driven infrastructure powering high-volume telemetry and device data pipelines.

Define and maintain Infrastructure as Code standards, ensuring consistency, repeatability, and scalability across environments.

Develop and enhance observability, monitoring, and incident response capabilities to support reliable production operations.

Partner closely with Security and Engineering teams to strengthen platform security, access management, and operational resilience.

Troubleshoot complex production issues, drive root cause analysis, and turn lessons learned into automation, tooling, and operational improvements.

5+ years of experience in DevOps, SRE, or Platform Engineering operating production AWS environments

Deep expertise with Kubernetes (EKS preferred), GitOps workflows (Argo CD/Flux), and Infrastructure as Code (Terraform)

Strong experience building and maintaining CI/CD pipelines, ideally with GitHub Actions

Hands-on experience operating distributed systems and cloud-native platforms (e.g., Kafka/MSK)

Solid understanding of networking, DNS, TLS, identity/access management, and cloud security best practices

Experience with observability, monitoring, and logging tools such as Grafana, Prometheus, Loki, or similar

Strong Linux, scripting, and troubleshooting skills with the ability to debug complex production issues end-to-end

Experience operating Apollo Router / GraphQL federation gateways in production.

Experience operating Argo Workflows or similar Kubernetes-native job / pipeline runners in production.

Familiarity with Databricks or ML Ops pipelines for data and model deployment.

Experience designing, operating, and exercising Disaster Recovery (DR) environments, including cross-region replication, backups, and tested failover runbooks.

Experience with Tailscale or other zero-trust networking tools.

Experience supporting IoT / embedded fleets at scale, including secure device-to-cloud connectivity.

Experience in high-growth startup environments where you must wear many hats.

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