Senior Software Engineer, Enterprise Team

About the role

Snowflake is hiring a Senior Software Engineer for its Enterprise team within Observe by Snowflake, an AI-powered observability platform built on the Snowflake AI Data Cloud. Observe ingests and stores logs, metrics, traces and events on a scalable data lakehouse and provides a Context Graph and chat-based AI SRE to speed up root-cause analysis. The role suits engineers who treat AI as a trusted collaborator and who enjoy fast-moving, experimental work.

Key responsibilities

• Design, build and own core features, APIs and business logic of a high-performance observability platform for enterprise customers.
• Take end-to-end ownership from technical scoping and architecture through deployment, meeting enterprise reliability and performance standards.
• Work with product, infrastructure and data teams to deliver solutions that give engineering teams fast, actionable insights.
• Partner with SREs and customer-facing teams to diagnose and resolve production issues, using AI-assisted workflows to speed root-cause analysis.
• Contribute to high engineering standards through code review, mentorship and architectural influence.

Required profile

• 5+ years of professional software engineering experience focused on backend application systems or distributed platforms.
• Demonstrated experience shipping production systems at scale with high throughput, low latency and enterprise reliability.
• Ability to work independently and take ownership of complex technical problems from scoping through delivery.
• Experience collaborating across engineering, product and infrastructure teams in a fast-moving, high-ownership environment.
• BS/MS in Computer Science, Engineering or equivalent experience.

Required skills

• Strong proficiency in one or more server-side languages such as Go, Java, Scala or Python.
• Bonus points: observability platforms, telemetry pipelines or distributed tracing and logging (e.g. OpenTelemetry, Prometheus, Jaeger); AI-assisted developer tools or LLM-integrated workflows; SRE practices, incident response automation or root-cause analysis tooling; open-source contributions to observability or developer productivity projects.