Software Engineering LMTS/SMTS - Big Data Infra (Spark/Kubernetes/Terraform/Helm))
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The role
We are seeking an experienced Distributed Systems Software Engineer to lead our Big Data infrastructure initiatives.
You will build scalable data processing and analytics services using Spark, Trino, Airflow, and Kafka to support real-time and batch workflows.
Architect resilient distributed systems that span thousands of compute nodes across multiple data centers, ensuring scalability, reliability, and performance.
Own the full service lifecycle - reliability, feature delivery, technical debt retirement - and participate in on-call rotations to keep critical workloads available.
Mentor junior engineers and drive knowledge sharing, collaboration, and best practices across the team.
Bring 8+ years of experience with cloud platforms, containers (Docker/Kubernetes), and infrastructure-as-code, plus deep knowledge of distributed computing.
You will build scalable data processing and analytics services using Spark, Trino, Airflow, and Kafka to support real-time and batch workflows.
Architect resilient distributed systems that span thousands of compute nodes across multiple data centers, ensuring scalability, reliability, and performance.
Own the full service lifecycle - reliability, feature delivery, technical debt retirement - and participate in on-call rotations to keep critical workloads available.
Mentor junior engineers and drive knowledge sharing, collaboration, and best practices across the team.
Bring 8+ years of experience with cloud platforms, containers (Docker/Kubernetes), and infrastructure-as-code, plus deep knowledge of distributed computing.
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