Remote Observability Platform Engineer for Scalable Systems

Whatnot Inc.

Kraków

Hybrid

PLN 240,000 - 360,000

Full time

4 days ago
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Job summary

Whatnot is building a world-class live commerce platform with a remote-first, globally distributed team. The Infrastructure Reliability Engineering group seeks seasoned engineers to rethink observability at scale—ensuring visibility into state, performance, and user experience across our complex software stack.

You will work closely with Core Infrastructure, Platform, and Developer Tools teams to design end-to-end observability—from data collection to normalization, routing, processing, and

Qualifications

  • 7+ years of experience designing and building large-scale distributed systems.
  • Experience in Python, Elixir, or Go is preferred.
  • Strong understanding of observability principles including metrics, logs, events, and traces.
  • Experience with cloud-native environments (AWS or GCP) and Kubernetes.
  • Familiarity with OpenTelemetry and modern data collection pipelines.

Responsibilities

  • Redesign and implement observability across the stack from data collection to visualization.
  • Collaborate with Core Infrastructure, Platform, and Developer Tools teams to scale observability.
  • Leverage analytics engines and vendors to predict incidents and enable rapid resolution.
  • Use AI-assisted troubleshooting to improve problem diagnosis and mean time to recovery.

Skills

Distributed systems design
Python
Go
Observability
Cloud-native (AWS/GCP)
Kubernetes
OpenTelemetry
Communication

Tools

OpenTelemetry

Job description

Whatnot is building a world-class live commerce platform with a remote-first, globally distributed team. The Infrastructure Reliability Engineering group seeks seasoned engineers to rethink observability at scale—ensuring visibility into state, performance, and user experience across our complex software stack.

You will work closely with Core Infrastructure, Platform, and Developer Tools teams to design end-to-end observability—from data collection to normalization, routing, processing, and

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