В Snowflake предлагают понятную backend-роль в востребованном продукте для observability и AI, с заметной ответственностью и современным стеком; без информации о зарплате сложнее оценить общее предложение.
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Зарплата не указанаСовременный стекПонятные задачиAI и observabilityСильная продуктовая среда
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Software Engineer, Enterprise (Observability): Building and scaling core features, APIs, and business logic for a high-performance observability platform with an accent on distributed systems, enterprise reliability, and massive telemetry volumes. Focus on designing production-grade backend systems, diagnosing complex production issues with AI-assisted workflows, and influencing architecture through ownership and code review.
Location: Zurich, Switzerland; hybrid
Company
Snowflake's Observe platform is an AI-powered observability product built on the Snowflake AI Data Cloud for processing logs, metrics, traces, and events at enterprise scale.
What you will do
Design, build, and own core features, APIs, and business logic for the observability platform.
Lead systems from technical scoping and architecture through deployment, meeting enterprise reliability and performance standards.
Collaborate with product, infrastructure, data, SRE, and customer-facing teams to deliver actionable engineering insights.
Diagnose and resolve production issues using AI-assisted workflows and root-cause analysis.
Contribute through code reviews, mentorship, and architectural influence.
Requirements
2–5 years of professional software engineering experience focused on backend application systems or distributed platforms.
Experience designing and shipping production systems with high throughput, low latency, and enterprise reliability requirements.
Strong proficiency in one or more server-side languages, such as Go, Java, Scala, or Python.
Ability to independently own complex technical problems from scoping through delivery.
Experience collaborating across engineering, product, and infrastructure teams.
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 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
Startup-style ownership and velocity within Snowflake's global data platform.
AI-native, experimental approach to solving problems and improving how work gets done.
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