Tech Stack

Description

You will lead architectural design and technical strategy for high-performance data pipeline systems that process massive telemetry volumes, driving ML-driven optimization to reduce customer data costs while preserving critical insights. This role requires partial on-site presence in Mountain View, CA.

Requirements

• 10+ years software engineering in distributed systems or ML infrastructure
• Expert-level proficiency in Go, Rust, or Java
• Extensive cloud and container orchestration experience (AWS, GCP, Kubernetes)
• Proven experience with streaming frameworks (Kafka, Spark, Flink)
• Deep expertise in SQL/NoSQL databases and data modeling

Responsibilities

• Lead architectural design for petabyte-scale data processing pipelines
• Drive ML-driven data routing and filtering to reduce volumes by 80%+
• Architect real-time analytics and anomaly detection with ML/LLMs
• Design cloud-native microservices integrating with Splunk, Elastic, etc.
• Provide technical leadership and mentorship to engineering teams