Staff Software Engineer - Cloud Platform

Reposted 16 Hours Ago
Hiring Remotely in USA
Remote
136K-266K Annually
Senior level
Big Data • Cloud • Software • Analytics
The Role
Design and implement cloud infrastructure and data pipelines using GCP services, optimize performance, and collaborate with teams for seamless integration and automation.
Summary Generated by Built In
The Calix platform enables Communication Service Providers (CSPs) of all sizes to transform and future-proof their businesses. Through real-time data, automation, and actionable insights delivered via Calix One — our cloud-first, AI-powered platform — CSPs can simplify operations, collapse cost, and accelerate innovation. Calix One brings together the automation of everything and the experience of one, empowering customers to deliver differentiated subscriber experiences while driving acquisition, loyalty, and revenue growth. This is the Calix mission: to enable CSPs of all sizes to simplify, innovate, and grow, strengthening both their businesses and the communities they serve.
We’re at the forefront of a once in a generational change in the broadband industry. Join us as we innovate, help our customers reach their potential, and connect underserved communities with unrivaled digital experiences.

This is a remote based position in US.  Please note that as part of the recruitment and hiring process, there is an in-person meeting that will take place.

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 KafkaDataflow, and Dataproc. The ideal candidate will have a strong background in DevOps practicescloud 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 clustersDataflow 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.

  • Ensure seamless integration of data pipelines with other GCP services like Big QueryCloud Storage, and Kafka or Pub/Sub.

  • Monitor performance, reliability, and cost of Dataproc clustersDataflow 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 DataflowPub/Sub, KafkaDataprocBig Query, and Cloud Storage.

  • Expertise in Infrastructure as Code (IaC) tools like Terraform or Cloud Deployment Manager.

  • Familiarity with data orchestration tools like Apache Airflow or Cloud Composer.

  • Strong proficiency in SQL query optimization

  • Experience with CI/CD tools like JenkinsGitLab CI/CD, or Cloud Build.

  • Knowledge of containerization and orchestration tools like Docker and Kubernetes.

  • Strong scripting skills for automation (e.g., BashPython).

  • Experience with monitoring tools like Cloud MonitoringPrometheus, 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.

#LI-Remote

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.

Top Skills

Apache Airflow
Apache Kafka
Bash
Big Query
Cloud Build
Cloud Logging
Cloud Monitoring
Cloud Storage
Dataflow
Dataproc
Datastream
Docker
Elk Stack
Gitlab Ci/Cd
Google Cloud Platform (Gcp)
Grafana
Kubernetes
Prometheus
Pub/Sub
Python
Terraform
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The Company
HQ: San Jose, CA
1,618 Employees
Year Founded: 1999

What We Do

Innovative communications service providers rely on Calix platforms to help them master and monetize the complex infrastructure between their subscribers and the cloud. Calix is the leading global provider of the cloud and software platforms, systems, and services required to deliver the unified access network and smart premises of tomorrow. Our platforms and services help our customers build next generation networks by embracing a DevOps operating model, optimize the subscriber experience by leveraging big data analytics, and turn the complexity of the smart home and business into new revenue streams.

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