В Snowflake чётко описана senior backend-роль в продукте для наблюдаемости: есть серьёзная техническая ответственность и работа с распределёнными системами и AI-инструментами.
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Современные технологииAI для наблюдаемостиОтветственность за результатВысокий темп
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Senior Software Engineer, Enterprise (AI observability): Building core features, APIs, and business logic for a high-performance observability platform with an accent on distributed systems, enterprise reliability, and low-latency processing. Focus on designing scalable backend services, integrating AI-assisted workflows, and solving complex production issues through root-cause analysis and SRE collaboration.
Location: Zurich, Switzerland
Company
Snowflake develops Observe, an AI-powered observability platform built on the Snowflake AI Data Cloud for enterprise-scale telemetry analysis.
What you will do
Design, build, and own core features, APIs, and business logic for a high-performance observability platform serving enterprise customers.
Lead work from technical scoping and architecture through deployment, meeting enterprise reliability and performance standards.
Collaborate with product, infrastructure, and data teams to deliver actionable insights for engineering teams.
Partner with SREs and customer-facing teams to diagnose and resolve production issues using AI-assisted workflows.
Contribute through code reviews, mentorship, and architectural influence.
Requirements
5+ years of professional software engineering experience, focused on backend application systems or distributed platforms.
Experience designing and shipping production systems at scale with high throughput, low latency, and enterprise reliability requirements.
Strong proficiency in one or more server-side languages such as Go, Java, Scala, Python, or similar.
Ability to work independently and own complex technical problems from scoping through delivery.
Experience collaborating across engineering, product, and infrastructure teams in a fast-moving, high-ownership environment.
Strong analytical thinking and structured problem-solving skills, with a record of shipping impactful, customer-facing work.
BS/MS in Computer Science, Engineering, or equivalent experience.
Nice to have
Experience with observability platforms, telemetry pipelines, distributed tracing, or logging systems such as OpenTelemetry, Prometheus, or Jaeger.
Experience building or contributing to AI-assisted developer tools or LLM-integrated workflows.
Background in SRE practices, incident response automation, or root-cause analysis tooling.
Open-source contributions to observability, data infrastructure, or developer productivity projects.
Culture & Benefits
AI-native, experimental approach to solving problems and improving how work gets done.
Low-ego environment focused on ownership, innovation, and challenging ordinary thinking.
Startup-style ownership and velocity combined with the operational scale and ecosystem of Snowflake.
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