About the team Roku runs one of the largest data lakes in the world. We store over 70 PB of data, run 10M queries per month, scan over 100 PB of data per month. Our Big Data team is responsible for building, running, and supporting the platform that makes this possible. We provide all the tools needed to acquire, generate, process, monitor, validate and access the data in the lake for both streaming data and batch. We are also responsible for generating the foundational data. The systems we provide include Scribe, Kafka, Hive, Presto, Spark, Flink, Pinot, and others. The team is actively involved in the Open Source, and we are planning to increase our engagement over time. About the Role Roku is in the process of modernizing its Big Data Platform. We are working on defining the new architecture to improve user experience, minimize the cost and increase efficiency. Are you interested in helping us build this state-of-the-art big data platform? Are you an expert with Big Data Technologies? Have you looked under the hood of these systems? Are you interested in Open Source? If you answered "Yes" to these questions, this role is for you What you will be doing Create Dockerfiles to containerize applications and push images to Artifactory. Implement CI/CD pipelines in GitLab for automated builds, testing, and deployments. Deploy applications to Kubernetes Cluster (GKE) using Helm or Kubernetes manifests. Set up monitoring dashboards and alerts using Prometheus and Grafana. Implement alerting mechanisms to detect failures, performance issues, and resource utilization. Document migration steps, CI/CD workflows, troubleshooting methods, and best practices. Participate in team meetings, contribute ideas, and work together to ensure smooth migration process. We are excited if you have Currently enrolled in a full-time degree-seeking program and in the process of obtaining a Bachelor's or Masters degree in Computer Science or a related field. Due to graduate in December 2025 or later. Basic understanding of Docker, Kubernetes and managing containerized applications Exposure to cloud computing, Google Cloud or any other platform Familiarity with CI/CD tools, GitLab CI/CD or similar tools to automate builds and deployments Enthusiasm for automation, scripting, and DevOps best practices Willingness to learn, collaborate, and contribute to a team environment. LI-TP1