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.
Job Description
Responsibilities:
Design/rearchitect our infrastructure platform components to be highly available, scalable, reliable, and secure, with a strong focus on database-backed services.
Own and manage database infrastructure including BigQuery, Redis, AlloyDB, and Cassandra, ensuring high performance, availability, and cost-efficiency.
BigQuery Management: Design, implement, and optimize 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.
Ensure observability is an integral part of the infrastructure platforms, providing adequate visibility into health, utilization, and cost—especially across database workloads.
Implement IaC 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/trainings and improve the adoption of the platforms/tools.
Qualifications:
10+ years of experience in 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/platforms services.
Deep expertise in BigQuery and strong hands-on experience with database technologies such as Redis, AlloyDB, Cassandra, or Cloud Spanner.
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.
Bachelor’s degree in Computer Science or equivalent.
Location:
India – (Flexible hybrid work model - work from Bangalore office for 20 days in a quarter)