Software Engineer, Enterprise Team

About the role

Observe by Snowflake is an AI-powered observability platform built on the Snowflake AI Data Cloud, ingesting and storing logs, metrics, traces and events on an open, scalable data lakehouse. It uses a dynamic Context Graph and chat-based AI SRE to help teams move from detection to root cause of production issues faster. The Software Engineer, Enterprise joins the Enterprise Engineering team to build and scale core features, APIs and business logic of a high-performance observability platform that handles massive volumes of telemetry for enterprise customers.

Key responsibilities

• Design, build and own core features, APIs and business logic for the observability platform
• 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 fast, actionable insights for engineering teams worldwide
• 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

• 2 to 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 to 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)
• Bonus points: AI-assisted developer tools or LLM-integrated workflows, SRE practices and incident response automation, open-source contributions