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Staff Software Engineer - Cloud Platform

Calix

Staff Software Engineer - Cloud Platform

Calix

Remote - USA

·

Remote

·

Full-time

·

1w ago

Compensation

$136,000 - $265,700

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:

  • 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 Data Stream.

  • 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,Data Stream,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 Thought Spot 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.

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About Calix

Calix

Calix

Public

Specializes 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