{"schemaVersion":"jobsearcher.job.v1","id":"91bb47c816e8cd0de91b6cf0","url":"https://jobsearcher.com/jobs/91bb47c816e8cd0de91b6cf0","canonicalUrl":"https://jobsearcher.com/jobs/91bb47c816e8cd0de91b6cf0","title":"Full Stack Developer with DevOps","description":"Role: Senior DevOps Engineer (Full-Stack Exposure) — GCP, Kubernetes, Python/React\nLocation: Menlo Park, CA\nFull Time\nJob Summary\nWe'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.\nKey Responsibilities\nInfrastructure & Platform\nDesign, deploy, and maintain GCP infrastructure using Terraform (IaC).\nManage, scale, and secure production workloads on Google Kubernetes Engine (GKE) using Docker and Helm.\nImplement and tune autoscaling for backend services and data pipelines to ensure reliability under load.\nManage GCP IAM, access permissions, and secure infrastructure configuration.\nCI/CD & Delivery\nBuild and optimize CI/CD pipelines (GitHub Actions, Jenkins) for microservices and React.js application deployments.\nDrive GitOps-style promotion flows, release automation, and deployment reliability across environments.\nData & Application Layer\nAdminister and optimize PostgreSQL and StarRocks (or similar OLAP databases) for performance at scale.\nManage RabbitMQ (or similar message brokers) for asynchronous, high-throughput processing.\nDevelop and maintain containerized ETL pipelines for high-volume data processing.\nCollaborate on backend service architecture (Python) and support deployment/performance of React.js front-end applications.\nObservability & Reliability\nSet up monitoring, alerting, and logging (Prometheus, Grafana, ELK/Loki, Datadog) to proactively catch production issues.\nAutomate routine operational tasks and build integration tooling in Python.\nRequired Qualifications\n4+ years in DevOps, SRE, Infrastructure, or Full-Stack Engineering roles, with strong DevOps/platform ownership.\nProven hands-on experience with Google Cloud Platform (GCP); AWS experience is a strong plus given transferable Kubernetes/IaC patterns.\nStrong expertise in Terraform and Kubernetes (GKE or equivalent, e.g., EKS).\nProficiency with Docker and Helm.\nStrong Python scripting/automation skills (Bash a plus).\nExperience with PostgreSQL and at least one OLAP/analytical database (StarRocks, ClickHouse, or similar).\nExperience with RabbitMQ or a comparable message broker.\nWorking experience with CI/CD tooling (GitHub Actions, Jenkins) and monitoring stacks (Prometheus/Grafana, Datadog).\nComfort working alongside or directly on React.js/TypeScript application deployments (deep frontend authorship not required — deployment, performance, and integration fluency is).\nPreferred Qualifications\nExperience optimizing or deploying React.js applications in production.\nUnderstanding of GCS object storage lifecycle policies.\nExperience leading infrastructure security audits or reviews.\nExposure to multi-cloud environments (GCP + AWS/Azure).\nExperience mentoring engineers or driving technical standards across a team.\nPay: $150,000.00 - $200,000.00 per year\nExperience:\nFounding Engineer: 5 years (Required)\nLocation:\nMenlo Park, CA 94025 (Required)\nWork Location: In person","company":"Metantz","rawCompany":"metantz","city":"Menlo Park","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-03T19:35:15.784Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Full Stack Developer with DevOps","description":"Role: Senior DevOps Engineer (Full-Stack Exposure) — GCP, Kubernetes, Python/React\nLocation: Menlo Park, CA\nFull Time\nJob Summary\nWe'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.\nKey Responsibilities\nInfrastructure & Platform\nDesign, deploy, and maintain GCP infrastructure using Terraform (IaC).\nManage, scale, and secure production workloads on Google Kubernetes Engine (GKE) using Docker and Helm.\nImplement and tune autoscaling for backend services and data pipelines to ensure reliability under load.\nManage GCP IAM, access permissions, and secure infrastructure configuration.\nCI/CD & Delivery\nBuild and optimize CI/CD pipelines (GitHub Actions, Jenkins) for microservices and React.js application deployments.\nDrive GitOps-style promotion flows, release automation, and deployment reliability across environments.\nData & Application Layer\nAdminister and optimize PostgreSQL and StarRocks (or similar OLAP databases) for performance at scale.\nManage RabbitMQ (or similar message brokers) for asynchronous, high-throughput processing.\nDevelop and maintain containerized ETL pipelines for high-volume data processing.\nCollaborate on backend service architecture (Python) and support deployment/performance of React.js front-end applications.\nObservability & Reliability\nSet up monitoring, alerting, and logging (Prometheus, Grafana, ELK/Loki, Datadog) to proactively catch production issues.\nAutomate routine operational tasks and build integration tooling in Python.\nRequired Qualifications\n4+ years in DevOps, SRE, Infrastructure, or Full-Stack Engineering roles, with strong DevOps/platform ownership.\nProven hands-on experience with Google Cloud Platform (GCP); AWS experience is a strong plus given transferable Kubernetes/IaC patterns.\nStrong expertise in Terraform and Kubernetes (GKE or equivalent, e.g., EKS).\nProficiency with Docker and Helm.\nStrong Python scripting/automation skills (Bash a plus).\nExperience with PostgreSQL and at least one OLAP/analytical database (StarRocks, ClickHouse, or similar).\nExperience with RabbitMQ or a comparable message broker.\nWorking experience with CI/CD tooling (GitHub Actions, Jenkins) and monitoring stacks (Prometheus/Grafana, Datadog).\nComfort working alongside or directly on React.js/TypeScript application deployments (deep frontend authorship not required — deployment, performance, and integration fluency is).\nPreferred Qualifications\nExperience optimizing or deploying React.js applications in production.\nUnderstanding of GCS object storage lifecycle policies.\nExperience leading infrastructure security audits or reviews.\nExposure to multi-cloud environments (GCP + AWS/Azure).\nExperience mentoring engineers or driving technical standards across a team.\nPay: $150,000.00 - $200,000.00 per year\nExperience:\nFounding Engineer: 5 years (Required)\nLocation:\nMenlo Park, CA 94025 (Required)\nWork Location: In person","datePosted":"2026-08-03T19:35:15.784Z","dateModified":"2026-08-03T19:35:15.784Z","hiringOrganization":{"@type":"Organization","name":"Metantz","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menlo Park","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"91bb47c816e8cd0de91b6cf0"},"url":"https://jobsearcher.com/jobs/91bb47c816e8cd0de91b6cf0"}}