Full Stack Developer with DevOps
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**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 operational tasks and build integration tooling in Python.
Required Qualifications
* 4\+ years in DevOps, SRE, Infrastructure, or Full\-Stack Engineering roles, with strong DevOps/platform ownership. * Proven hands\-on experience with Google Cloud Platform (GCP); AWS experience is a strong plus given transferable Kubernetes/IaC patterns. * Strong expertise in Terraform and Kubernetes (GKE or equivalent, e.g., EKS). * Proficiency with Docker and Helm. * Strong Python scripting/automation skills (Bash a plus). * Experience with PostgreSQL and at least one OLAP/analytical database (StarRocks, ClickHouse, or similar). * Experience with RabbitMQ or a comparable message broker. * Working experience with CI/CD tooling (GitHub Actions, Jenkins) and monitoring stacks (Prometheus/Grafana, Datadog). * Comfort working alongside or directly on React.js/TypeScript application deployments (deep frontend authorship not required — deployment, performance, and integration fluency is).
Preferred Qualifications
* Experience optimizing or deploying React.js applications in production. * Understanding of GCS object storage lifecycle policies. * Experience leading infrastructure security audits or reviews. * Exposure to multi\-cloud environments (GCP \+ AWS/Azure). * Experience mentoring engineers or driving technical standards across a team.
Pay: $150,000\.00 \- $200,000\.00 per year
Experience:
* Founding Engineer: 5 years (Required)
Location:
* Menlo Park, CA 94025 (Required)
Work Location: In person
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