채용
Benefits & Perks
•Bonus
•Remote Work
•Remote Work
Required Skills
DevOps
Cloud Engineering
Terraform
GCP
Dataflow
SQL
Python
Bash
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 Cloud Platform team. The Staff Cloud Platform Engineer to design, implement, and manage cloud infrastructure and data pipelines using **Google Cloud Platform (GCP)**services like Data Stream,**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:
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Design and implement cloud infrastructure using IaC – Terraform
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Automate provisioning and management of Dataproc clusters,Dataflow jobs, and other GCP resources
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Integrate tools like GitLab CI/CD, or Cloud Build for automated testing and deployment.
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Deploy and manage real-time and batch data pipelines using Dataflow or Data Stream.
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Ensure seamless integration of data pipelines with other GCP services like Big Query,Cloud Storage, and Kafka or Pub/Sub.
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Monitor performance, reliability, and cost of Dataproc clusters,Dataflow jobs, and streaming applications.
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Optimize cloud infrastructure and data pipelines for performance, scalability, and cost-efficiency.
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Implement security best practices for GCP resources, including IAM policies, encryption, and network security.
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Ensure Observability is an integral part of the infrastructure platforms and provides adequate visibility about their health, utilization, and cost.
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Collaborate extensively with cross functional teams to understand their requirements; educate them through documentation/trainings and improve the adoption of the platforms/tools.
Qualifications:
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10+ years of overall experience in DevOps cloud engineering, or data engineering.
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5+ years of experience in DevOps, cloud engineering, or data engineering.
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Proficiency in **Google Cloud Platform (GCP)**services, including Dataflow,Data Stream,Dataproc,Big Query, and Cloud Storage.
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Expertise in **Infrastructure as Code (IaC)**tools like Terraform or Cloud Deployment Manager.
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Strong experience with Looker, Tableau, or Thought Spot administration
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Knowledge of real-time data streaming technologies (e.g., Apache Kafka,Pub/Sub).
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Familiarity with data orchestration tools like Apache Airflow or Cloud Composer.
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Strong proficiency in SQL query optimization
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Experience with CI/CD tools like Jenkins,GitLab CI/CD, or Cloud Build.
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Knowledge of containerization and orchestration tools like Docker and Kubernetes.
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Strong scripting skills for automation (e.g., Bash,Python).
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Experience with monitoring tools like Cloud Monitoring,Prometheus, and Grafana.
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Familiarity with logging tools like Cloud Logging or ELK Stack.
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Strong problem-solving and analytical skills.
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Excellent communication and collaboration abilities.
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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.
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About Calix

Calix
PublicSpecializes in providing software platforms, systems, and services to support the delivery of broadband services.
1,001-5,000
Employees
San Jose
Headquarters
Reviews
4.2
16 reviews
Work Life Balance
3.8
Compensation
3.5
Culture
3.7
Career
3.6
Management
3.2
70%
Recommend to a Friend
Pros
Active hiring and referral opportunities
Competitive compensation packages
Remote work flexibility
Cons
Lack of transparency in compensation discussions
Recruiters not providing detailed information
Questions about authenticity of ratings
Salary Ranges
275 data points
Senior/L5
Senior/L5 · Data Analytics Product Owner
1 reports
$147,168
total / year
Base
$127,754
Stock
-
Bonus
-
$147,168
$147,168
Interview Experience
3 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer Rate
33%
Experience
Positive 33%
Neutral 67%
Negative 0%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
News & Buzz
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