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Software Engineer - Cloud Platform

Job in Myrtle Point, Coos County, Oregon, 97458, USA
Listing for: Calix
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 265700 USD Yearly USD 265700.00 YEAR
Job Description & How to Apply Below
Position: Staff Software Engineer - Cloud Platform
Location: Myrtle Point

Employer Industry: Cloud Computing and Telecommunications

Why consider this job opportunity:
  • Salary up to $265,700 annually for the San Francisco Bay Area
  • Opportunity for bonuses as part of the total compensation package
  • Work remotely from anywhere in the U.S.
  • Collaborate with cross-functional teams and enhance your skills in cloud infrastructure and data engineering
  • Be part of a mission-driven team focused on enabling data-driven decision-making across the organization
  • Engage in a fast-paced, agile environment that encourages innovation and learning
What to Expect (Job Responsibilities):
  • Design and implement cloud infrastructure using Infrastructure as Code (IaC) tools like Terraform
  • Automate provisioning and management of GCP resources, including Dataproc clusters and Dataflow jobs
  • Deploy and manage real-time and batch data pipelines using Dataflow or Data Stream
  • Monitor performance, reliability, and cost of cloud infrastructure and data solutions
  • Collaborate with various teams to gather requirements and improve platform adoption through documentation and training
What is Required (Qualifications):
  • 10+ years of overall experience in Dev Ops cloud engineering or data engineering
  • 5+ years of experience specifically in Dev Ops, cloud engineering, or data engineering
  • Proficiency in Google Cloud Platform (GCP) services, including Dataflow, Data Stream, and Big Query
  • Strong experience with Infrastructure as Code (IaC) tools like Terraform
  • Excellent communication and collaboration skills
How to Stand Out (Preferred Qualifications):
  • Experience with Looker, Tableau, or Thought Spot administration
  • Knowledge of real-time data streaming technologies such as Apache Kafka or Pub/Sub
  • Familiarity with data orchestration tools like Apache Airflow or Cloud Composer
  • Strong scripting skills for automation using languages like Bash or Python
  • Experience with monitoring tools such as Cloud Monitoring, Prometheus, or Grafana
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