Calix

Staff Software Engineer – Cloud Platform

Calix

full-time

Posted on:

Location Type: Remote

Location: Remote • California • 🇺🇸 United States

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Salary

💰 $136,000 - $231,000 per year

Job Level

Lead

Tech Stack

AirflowApacheBigQueryCloudDockerGoogle Cloud PlatformGrafanaJenkinsKafkaKubernetesPrometheusPythonSQLTableauTerraform

About the role

  • Design and implement cloud infrastructure using IaC – Terraform
  • Automate provisioning and management of Dataproc clusters, Dataflow jobs, and other GCP resources
  • Integrate tools like GitLab CI/CD, or Cloud Build for automated testing and deployment.
  • Deploy and manage real-time and batch data pipelines using Dataflow or DataStream.
  • Ensure seamless integration of data pipelines with other GCP services like Big Query, Cloud Storage, and Kafka or Pub/Sub.
  • Monitor performance, reliability, and cost of Dataproc clusters, Dataflow jobs, and streaming applications.
  • Optimize cloud infrastructure and data pipelines for performance, scalability, and cost-efficiency.
  • Implement security best practices for GCP resources, including IAM policies, encryption, and network security.
  • Ensure Observability is an integral part of the infrastructure platforms and provides adequate visibility about their health, utilization, and cost.
  • Collaborate extensively with cross functional teams to understand their requirements; educate them through documentation/trainings and improve the adoption of the platforms/tools.

Requirements

  • 10+ years of overall experience in DevOps cloud engineering, or data engineering.
  • 5+ years of experience in DevOps, cloud engineering, or data engineering.
  • Proficiency in Google Cloud Platform (GCP) services, including Dataflow, DataStream, Dataproc, Big Query, and Cloud Storage.
  • Expertise in Infrastructure as Code (IaC) tools like Terraform or Cloud Deployment Manager.
  • Strong experience with Looker, Tableau, or ThoughtSpot administration.
  • Knowledge of real-time data streaming technologies (e.g., Apache Kafka, Pub/Sub).
  • Familiarity with data orchestration tools like Apache Airflow or Cloud Composer.
  • Strong proficiency in SQL query optimization.
  • Experience with CI/CD tools like Jenkins, GitLab CI/CD, or Cloud Build.
  • Knowledge of containerization and orchestration tools like Docker and Kubernetes.
  • Strong scripting skills for automation (e.g., Bash, Python).
  • Experience with monitoring tools like Cloud Monitoring, Prometheus, and Grafana.
  • Familiarity with logging tools like Cloud Logging or ELK Stack.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration abilities.
  • Ability to work in a fast-paced, agile environment.
Benefits
  • As a part of the total compensation package, this role may be eligible for a bonus.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
Infrastructure as CodeTerraformGoogle Cloud PlatformDataflowDataStreamDataprocBig QueryCloud StorageSQL query optimizationscripting
Soft skills
problem-solvinganalytical skillscommunicationcollaborationagile environment