Sr DevOps Engineer

MetAntz

Menlo Park (CA)

On-site

USD 140,000 - 170,000

Full time

14 days+
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Job summary

MetAntz in Menlo Park, CA, seeks a seasoned DevOps Software Engineer with 4–6 years of experience to automate, scale, and secure our GCP infrastructure and delivery pipelines. You will bridge development and operations to ensure high availability, performance, and security for our microservices and data processing systems.

The role emphasizes IaC with Terraform, GKE-based containerization, and robust CI/CD practices using GitHub Actions or Jenkins, plus strong scripting in Python.

Qualifications

  • 4+ years in a DevOps, SRE, or infrastructure role.
  • Proven Google Cloud Platform (GCP) experience.
  • Strong Terraform and Kubernetes (GKE) expertise.
  • Proficiency with Docker and Helm for containerization.
  • Strong scripting in Python (Bash a plus).
  • Experience with PostgreSQL, StarRocks, and RabbitMQ.
  • Familiarity with CI/CD tools and monitoring (GitHub Actions, Jenkins; Datadog, Grafana).

Responsibilities

  • Automate, scale, and secure GCP infrastructure and pipelines.
  • Bridge development and operations for high availability and security.
  • Design and maintain IaC using Terraform.
  • Manage production apps on GKE; ensure performance and reliability.
  • Build and optimize CI/CD pipelines for microservices and React apps.
  • Implement autoscaling and monitor system performance.
  • Administer and tune PostgreSQL, StarRocks, and RabbitMQ.
  • Develop containerized ETL data pipelines.
  • Enforce security and IAM best practices; create automation scripts in Python.
  • Set up monitoring and logging with Prometheus, Grafana, and ELK.

Tools

GCP
Terraform
Kubernetes (GKE)
Docker
Helm
GitHub Actions
Jenkins
Python
Bash
PostgreSQL
StarRocks
RabbitMQ
Datadog
Grafana

Job description

Job Summary

We are looking for a seasoned DevOps Software Engineer with 4-6 years of experience to join our team. You will be responsible for automating, scaling, and securing our GCP infrastructure and application delivery pipelines. The ideal candidate will bridge the gap between development and operations, ensuring high availability, performance, and security for our microservices architecture and data processing pipelines.


Key Responsibilities


  • Infrastructure as Code (IaC): Design, deploy, and maintain GCP infrastructure using Terraform.

  • Kubernetes & Containerization: Manage, scale, and secure production applications on Google Kubernetes Engine (GKE) using Docker and Helm charts.

  • CI/CD Pipeline Automation: Create and optimize CI/CD pipelines (e.g., GitHub Actions, Jenkins) for seamless deployment of microservices and React.JS web applications.

  • AutoScaling & Performance: Implement and maintain autoscaling for backend services and data pipelines, ensuring reliability.

  • Database & Message Broker Management: Administer and optimize PostgreSQL, StarRocks, and RabbitMQ for high performance.

  • ETL Data Pipeline Management: Develop and maintain containerized ETL data pipelines to process high-volume data.

  • Security & IAM: Manage user access and permissions using GCP IAM, ensuring secure infrastructure configuration.

  • Scripting & Automation: Automate routine tasks and create integration scripts using Python.

  • Monitoring & Logging: Set up monitoring, alerting, and logging solutions (e.g., Prometheus, Grafana, ELK) to proactively identify production issues.


Required Qualifications


  • Experience: 4+ years in a DevOps, SRE, or Infrastructure Engineer role.

  • Cloud Platform: Proven experience with Google Cloud Platform (GCP).

  • Infrastructure: Strong expertise in Terraform and Kubernetes (GKE).

  • Containerization: Proficiency in Docker and Helm.

  • Languages: Strong scripting skills in Python (Bash is a plus).

  • Data Technologies: Experience with PostgreSQL, StarRocks (or similar OLAP databases), and RabbitMQ.

  • Tools: CI/CD tools (GitHub Actions, Jenkins) and monitoring tools (Datadog, Grafana).


Preferred Skills


  • Experience in optimizing React.JS application deployments.

  • Understanding of object storage lifecycle policies (GCS).

  • Experience with Infrastructure security audits.

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