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Job description
We seek a Senior Engineer in Observability to help define and build the next generation of AI powered observability for Snowflake’s global data platform. This role sits at the intersection of large scale distributed systems, telemetry pipelines, and machine intelligence.
Design and build large scale telemetry pipelines, architect AI driven observability systems, partner with Snowflake teams, define standards for instrumentation, tracing, and telemetry, build tools and platforms, optimize observability systems, mentor engineers, and stay at the forefront of industry trends.
Ideal candidate has 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, solid understanding of system performance, debugging, and reliability engineering principles, experience with cloud platforms, and proven ability to lead complex technical projects.
Company
Tech, Software & IT Services
Snowflake is a leading cloud data platform that powers the AI Data Cloud, enabling organizations to unify, secure, and share data at near-unlimited scale. The platform supports data warehousing, lakes, engineering, science, and application development, delivering seamless performance across multiple public clouds. Its unique architecture allows users to discover and govern data effortlessly, while its data exchange capabilities accelerate collaboration across partners and customers. As the official data collaboration provider for LA28 and Team USA, Snowflake demonstrates its commitment to high-profile, data-driven initiatives, setting it apart in the industry.
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