Calix
Staff Software Engineer - Cloud Platform
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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 Staff Cloud Platform Engineer to join the Cloud Platform team. The Staff Cloud Platform Engineer will design, implement, and manage cloud infrastructure and data pipelines using Google Cloud Platform (GCP) services like DataStream, Dataflow, 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. This role also involves ensuring the smooth operation of Looker, supporting business intelligence (BI) initiatives, and enabling data-driven decision-making across the organization.
Responsibilities
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
Qualifications
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
The base pay range for this position varies based on the geographic location. More information about the pay range specific to candidate location and other factors will be shared during the recruitment process. Individual pay is determined based on location of residence and multiple factors, including job-related knowledge, skills and experience.
San Francisco Bay Area: 156,400 - 265,700 USD Annual
All Other US Locations: 136,000 - 231,000 USD Annual
As a part of the total compensation package, this role may be eligible for a bonus. For information on our benefits click here.
Seniority level Mid-Senior level
Employment type Full-time
Job function Engineering and Information Technology
Industries Computer Hardware Manufacturing, Computer Networking Products, and Software Development
Referrals increase your chances of interviewing at Calix by 2x.
Get notified about new Staff Software Engineer jobs in
San Jose, CA .
#J-18808-Ljbffr
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 Staff Cloud Platform Engineer to join the Cloud Platform team. The Staff Cloud Platform Engineer will design, implement, and manage cloud infrastructure and data pipelines using Google Cloud Platform (GCP) services like DataStream, Dataflow, 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. This role also involves ensuring the smooth operation of Looker, supporting business intelligence (BI) initiatives, and enabling data-driven decision-making across the organization.
Responsibilities
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
Qualifications
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
The base pay range for this position varies based on the geographic location. More information about the pay range specific to candidate location and other factors will be shared during the recruitment process. Individual pay is determined based on location of residence and multiple factors, including job-related knowledge, skills and experience.
San Francisco Bay Area: 156,400 - 265,700 USD Annual
All Other US Locations: 136,000 - 231,000 USD Annual
As a part of the total compensation package, this role may be eligible for a bonus. For information on our benefits click here.
Seniority level Mid-Senior level
Employment type Full-time
Job function Engineering and Information Technology
Industries Computer Hardware Manufacturing, Computer Networking Products, and Software Development
Referrals increase your chances of interviewing at Calix by 2x.
Get notified about new Staff Software Engineer jobs in
San Jose, CA .
#J-18808-Ljbffr