Calix
Staff Database Infrastructure Engineer – Cloud Platform
Remote, Full‑time, Corporate, US
We, the Cloud Platform Engineering team at Calix, enable Calix engineers to accelerate the delivery of world‑class products while ensuring high availability. We are seeking a skilled and experienced Staff Database Infrastructure Engineer – Cloud Platform with expertise in Google Cloud Platform (GCP). The ideal candidate will have a strong background in Database Administration, cloud infrastructure automation, and SQL Query optimization. This role will involve collaborating with development, data engineering, and operations teams to design, implement, and maintain scalable and reliable data pipelines and infrastructure.
Responsibilities
Design and rearchitect our infrastructure platform components to be highly available, scalable, reliable, and secure, focusing on database‑backed services.
Own and manage database infrastructure including BigQuery, Redis, AlloyDB, and Cassandra, ensuring high performance, availability, and cost‑efficiency.
Design, implement, and optimize BigQuery datasets, tables, and queries for large‑scale analytics.
Monitor and troubleshoot database performance and query optimization, including cost management and efficient data storage techniques.
Manage and monitor data ingestion pipelines using tools like Dataflow or Kafka.
Ensure data security, access control, and compliance for all managed database platforms, including IAM policies and encryption.
Manage schema changes and data migrations using automation tools such as Liquibase or similar.
Provide observability across database workloads, delivering adequate visibility into health, utilization, and cost.
Implement Infrastructure‑as‑Code using tools like Terraform/Terragrunt.
Build tools that predict saturations/failures and take preventive actions through automation.
Collaborate extensively with cross‑functional teams to understand data access patterns and infrastructure requirements; educate them through documentation and training, improving platform/tool adoption.
Qualifications
Bachelor’s degree in Computer Science or equivalent.
8+ years of experience building large‑scale distributed systems in an always‑available production environment.
5+ years of experience building Infrastructure Platforms and CI/CD pipelines in a major public cloud provider – GCP preferred; hands‑on expertise in commonly used cloud infrastructure/platform services.
Deep expertise in AlloyDB, BigQuery or similar database technologies.
Experience managing large‑scale data pipelines and stream processing systems using tools like Dataflow, Kafka, or Pub/Sub.
Strong programming skills in Python, Shell/Bash, or similar scripting languages.
Fast learner with the ability to troubleshoot complex scenarios while processing large volumes of data (terabytes and petabytes).
Hands‑on experience with observability platforms/tools like Grafana/Prometheus.
Experience coaching and mentoring junior engineers; strong verbal and written communication skills.
GCP certification is a plus.
Compensation Base pay for this position varies based on geographic location:
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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We, the Cloud Platform Engineering team at Calix, enable Calix engineers to accelerate the delivery of world‑class products while ensuring high availability. We are seeking a skilled and experienced Staff Database Infrastructure Engineer – Cloud Platform with expertise in Google Cloud Platform (GCP). The ideal candidate will have a strong background in Database Administration, cloud infrastructure automation, and SQL Query optimization. This role will involve collaborating with development, data engineering, and operations teams to design, implement, and maintain scalable and reliable data pipelines and infrastructure.
Responsibilities
Design and rearchitect our infrastructure platform components to be highly available, scalable, reliable, and secure, focusing on database‑backed services.
Own and manage database infrastructure including BigQuery, Redis, AlloyDB, and Cassandra, ensuring high performance, availability, and cost‑efficiency.
Design, implement, and optimize BigQuery datasets, tables, and queries for large‑scale analytics.
Monitor and troubleshoot database performance and query optimization, including cost management and efficient data storage techniques.
Manage and monitor data ingestion pipelines using tools like Dataflow or Kafka.
Ensure data security, access control, and compliance for all managed database platforms, including IAM policies and encryption.
Manage schema changes and data migrations using automation tools such as Liquibase or similar.
Provide observability across database workloads, delivering adequate visibility into health, utilization, and cost.
Implement Infrastructure‑as‑Code using tools like Terraform/Terragrunt.
Build tools that predict saturations/failures and take preventive actions through automation.
Collaborate extensively with cross‑functional teams to understand data access patterns and infrastructure requirements; educate them through documentation and training, improving platform/tool adoption.
Qualifications
Bachelor’s degree in Computer Science or equivalent.
8+ years of experience building large‑scale distributed systems in an always‑available production environment.
5+ years of experience building Infrastructure Platforms and CI/CD pipelines in a major public cloud provider – GCP preferred; hands‑on expertise in commonly used cloud infrastructure/platform services.
Deep expertise in AlloyDB, BigQuery or similar database technologies.
Experience managing large‑scale data pipelines and stream processing systems using tools like Dataflow, Kafka, or Pub/Sub.
Strong programming skills in Python, Shell/Bash, or similar scripting languages.
Fast learner with the ability to troubleshoot complex scenarios while processing large volumes of data (terabytes and petabytes).
Hands‑on experience with observability platforms/tools like Grafana/Prometheus.
Experience coaching and mentoring junior engineers; strong verbal and written communication skills.
GCP certification is a plus.
Compensation Base pay for this position varies based on geographic location:
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.
#J-18808-Ljbffr