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Staff Software Engineer - Cloud Platform

Staff Software Engineer - Cloud Platform

CalixBengaluru, Karnataka, India
9 hours ago
Job description

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.

The Cloud Platform Engineering team is responsible for the Platforms, Tools, and CI / CD pipelines at Calix.

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.

Education and Experience :

  • 10+ 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.
  • Location :

  • India – (Flexible hybrid work model - work from Bangalore office for 20 days in a quarter)
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