Calix provides the cloud, software platforms, systems and services required for communications service providers to simplify their businesses, excite their subscribers and grow their value.
This is a remote based position in US.
We, the Cloud Platform Engineering team at Calix are responsible for the Platforms, Tools, and CI/CD pipelines at Calix. Our mission is to enable Calix engineers to accelerate the delivery of world-class products while ensuring the high availability,
We are seeking a skilled and experienced GCP Cloud Platform Engineer to join Cloud Platform team. The ideal candidate will be responsible for managing, optimizing, and maintaining our Looker instance hosted on Google Cloud Platform (GCP). This role involves ensuring the smooth operation of Looker, supporting business intelligence (BI) initiatives, and enabling data-driven decision-making across the organization. The GCP Looker Administrator will work closely with data engineers, analysts, and business stakeholders to deliver scalable and efficient solutions.
We are looking for a GCP Cloud Platform Engineer to design, implement, and manage cloud infrastructure and data pipelines using Google Cloud Platform (GCP) services like DataStream, Dataflow, Apache Flink, Apache Spark, and Dataproc. The ideal candidate will have a strong background in DevOps practices, cloud infrastructure automation, and big data technologies. You will collaborate with data engineers, developers, and operations teams to ensure seamless deployment, monitoring, and optimization of data solutions.
Responsibilities:
- Design and implement cloud infrastructure using IaC – Terraform etc.
- Automate provisioning and management of Dataproc clusters, Dataflow jobs, and other GCP resources
- Build and maintain CD pipelines for deploying data pipelines, streaming applications, and cloud infrastructure.
- 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, DataStream, and Apache Flink.
- Ensure seamless integration of data pipelines with other GCP services like Big Query, Cloud Storage, and Kafka or Pub/Sub.
- Implement monitoring and alerting solutions using Cloud Monitoring, Cloud Logging, and Prometheus.
- 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.
Qualifications:
- 7+ years of overall experience in DevOps -cloud engineering, or data engineering.
- 3+ 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.
- Strong experience with Apache Spark and Apache Flink for distributed data processing.
- Knowledge of real-time data streaming technologies (e.g., Apache Kafka, Pub/Sub).
- Familiarity with data orchestration tools like Apache Airflow or Cloud Composer.
- Expertise in Infrastructure as Code (IaC) tools like Terraform or Cloud Deployment Manager.
- 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.
Compensation will vary based on geographical location (see below) within the United States. Individual pay is determined by the candidate's location of residence and multiple factors, including job-related skills, experience, and education.
For more information on our benefits click here.
There are different ranges applied to specific locations. The average base pay range (or OTE range for sales) in the U.S. for the position is listed below.
San Francisco Bay Area Only:
156,400.00 - 265,700.00 USD Annual
All Other Locations:
136,000.00 - 231,000.00 USD Annual
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