Job Description
📋 Description Build Scalable Data Platform: Design and build the Data platform for Batch and Streaming use cases. Real-Time data platform at Scale: Deploy low-latency services to pipe data for streaming or near Data Platform Ops: Deploy, monitor, and CI/CD for Data pipelines. Enable complete observability and 🎯 Requirements 3+ years of experience in Platform Engineering, deploying and maintaining scalable data platforms Proficient in streaming architectures (Kafka/Flink/PubSub) and building low-latency services for Proficient with Containerization (Docker, Kubernetes) and cluster-level management. Deep experience building a platform for managing the full Data lifecycle, including data Expert in Python and Go. Strong cloud experience, preferably GCP (BigQuery, Cloud Functions, GKE) Excellent communication, stakeholder management, and problem-solving skills. 🎁 Benefits Company-subsidized medical, dental, & vision plans 401(k) with company match Annual bonus Flexible PTO (2 weeks strongly encouraged) Generous parental leave and disability benefits Workplace flexibility and modern schedules
