Principal Software Engineer - Observability at Snowflake · LumiJobs

Responsibilities

AS A PRINCIPAL SOFTWARE ENGINEER AT SNOWFLAKE YOU WILL:
Architect and build distributed infrastructure. Design scalable pipelines and services for ingesting, storing, and querying logs, metrics, traces, and events at very high volume, with predictable cost, low query latency, fault isolation, and clear data-freshness guarantees.
Ship observability products to customers. Partner with product management and design to define and deliver customer-facing capabilities, from telemetry collection and alerting to dashboards and diagnostics, that work natively within Snowflake. Turn customer feedback and usage data into product decisions, and own outcomes through launch and adoption.
Build AI-driven detection and diagnosis. Develop agentic workflows that correlate signals across the stack, surface anomalies, explain likely root causes, and recommend or take remediation steps. Ground these capabilities in high-quality telemetry and rigorous evaluation so customers and engineers can trust them.
Build and work AI-first. Make AI integral to how you design, implement, test, and operate software. Establish rigorous evaluation, security, and reliability standards for AI-powered capabilities, and drive adoption of AI-first practices across the team.
Lead from architecture through adoption. Translate ambiguous customer and developer needs into practical designs and milestones. Deliver intuitive APIs, SDKs, and self-service experiences built on open standards such as OpenTelemetry, and guide incremental migrations from existing tooling.
Raise the engineering bar. Write and review production code, diagnose complex failures, own operational outcomes, and mentor engineers. Influence across teams through technical depth, clear communication, and sound judgment.
OUR IDEAL PRINCIPAL SOFTWARE ENGINEER WILL HAVE:
12+ years of software engineering experience, including technical leadership of complex backend, infrastructure, or data-platform initiatives spanning multiple teams.
Deep experience designing, building, and operating large-scale distributed systems, with strong understanding of concurrency, consistency, caching, failure recovery, storage and query efficiency, and performance.
Strong computer science fundamentals and hands-on proficiency in Java, Go, C++, or a comparable backend language, plus experience with AWS, Azure, or Google Cloud.
An AI-first engineering practice: you actively use AI throughout the software lifecycle and can demonstrate how it improves your execution, problem-solving, and quality. You are ready to build AI-powered platform capabilities and help others adopt this approach.

Principal Software Engineer - Observability

Responsibilities

Company

Snowflake

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