Full Stack Developer with DevOps

**Role: Senior DevOps Engineer (Full\-Stack Exposure) — GCP, Kubernetes, Python/React** **Location: Menlo Park, CA** **Full Time** **Job Summary** We're looking for a Senior DevOps Engineer (6\+ years) who can own our GCP infrastructure and CI/CD delivery end\-to\-end, while also being comfortable working across the stack — supporting deployment, performance, and reliability of our Python backend services and React.js frontend. This is a DevOps\-first role with full\-stack fluency: you'll spend most of your time on infrastructure, automation, and platform reliability, and the rest partnering closely with engineering on service architecture, data pipelines, and deployment of application code. Key Responsibilities **Infrastructure \& Platform** * Design, deploy, and maintain GCP infrastructure using Terraform (IaC). * Manage, scale, and secure production workloads on Google Kubernetes Engine (GKE) using Docker and Helm. * Implement and tune autoscaling for backend services and data pipelines to ensure reliability under load. * Manage GCP IAM, access permissions, and secure infrastructure configuration. **CI/CD \& Delivery** * Build and optimize CI/CD pipelines (GitHub Actions, Jenkins) for microservices and React.js application deployments. * Drive GitOps\-style promotion flows, release automation, and deployment reliability across environments. **Data \& Application Layer** * Administer and optimize PostgreSQL and StarRocks (or similar OLAP databases) for performance at scale. * Manage RabbitMQ (or similar message brokers) for asynchronous, high\-throughput processing. * Develop and maintain containerized ETL pipelines for high\-volume data processing. * Collaborate on backend service architecture (Python) and support deployment/performance of React.js front\-end applications. **Observability \& Reliability** * Set up monitoring, alerting, and logging (Prometheus, Grafana, ELK/Loki, Datadog) to proactively catch production issues. * Automate routine oper