Software Engineering LMTS/SMTS - Big Data Infra (Spark/Kubernetes/Terraform/Helm))
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Role: Experienced Distributed Systems Software Engineer to lead our Big Data infrastructure projects.
Build scalable data processing and analytics services using Spark, Trino, Airflow, and Kafka for real-time and batch workflows.
Architect and operate resilient distributed systems across multiple data centers, ensuring scalability and high availability.
Own service reliability, performance, and technical debt while balancing live-site responsibilities and feature development.
Participate in on-call rotations and provide mentorship to junior engineers to foster growth and collaboration.
Work with cloud platforms (AWS/GCP/Azure), containers (Docker/Kubernetes), and IaC (Terraform/Ansible) to deploy and scale infrastructure.
Build scalable data processing and analytics services using Spark, Trino, Airflow, and Kafka for real-time and batch workflows.
Architect and operate resilient distributed systems across multiple data centers, ensuring scalability and high availability.
Own service reliability, performance, and technical debt while balancing live-site responsibilities and feature development.
Participate in on-call rotations and provide mentorship to junior engineers to foster growth and collaboration.
Work with cloud platforms (AWS/GCP/Azure), containers (Docker/Kubernetes), and IaC (Terraform/Ansible) to deploy and scale infrastructure.
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