Senior Software Engineer - Internal Observability

Responsibilities

• Design and build large scale telemetry pipelines that ingest, process, and analyze metrics, logs, and traces across Snowflake’s multi-cloud platform
• Architect AI-driven observability systems that leverage machine learning for anomaly detection, root cause analysis, and predictive insights
• Partner with Snowflake teams to embed observability deeply into all layers of the platform
• Define and drive standards for instrumentation, tracing, and telemetry across services
• Build tools and platforms that empower engineers with deep visibility into system behavior and performance
• Optimize observability systems for high scale, low latency, and cost efficiency
• Mentor engineers and provide technical leadership in distributed systems, observability, and AI-driven diagnostics
• Stay at the forefront of industry trends in observability, including OpenTelemetry and AI-based monitoring approaches

Requirements

• 7+ years of experience in software engineering with a strong focus on distributed systems
• Deep experience building and operating large scale cloud services
• Strong programming skills in languages such as Java, Scala, C++, or Python
• Solid understanding of system performance, debugging, and reliability engineering principles
• Experience with cloud platforms such as AWS, Azure, or GCP
• Proven ability to lead complex technical projects and influence architecture decisions
• Strong problem-solving skills and ability to work in a fast-paced environment

Nice-to-Haves

• Experience designing telemetry systems including metrics, logging, and distributed tracing