Description

You will engineer production-grade distributed systems and internal APIs, focusing on reliability and operational excellence.

Responsibilities

  • Contribute to the development and improvement of internal APIs.
  • Build and maintain automation for repository and fleet health, metric generation, and issue diagnosis.
  • Support deployment and operation of access APIs within Kubernetes environments using TLS mutual authentication and telemetry.
  • Collaborate on CLI and ChatOps tooling to surface operational insights to internal users.
  • Document architectural designs, conduct code experiments, and build prototypes for planetary scale systems.

Required Skills

  • 2+ years of experience in Software Engineering or a related technical discipline maintaining production software.
  • Proficiency in coding languages including Go, Ruby, or Python.
  • 1+ year of professional experience with distributed systems.
  • Experience running containerized applications in production environments.
  • Familiarity with Kubernetes/Docker, API design, and secure service communication (TLS mutual-auth).
  • Experience with REST and RPC APIs (Twirp).
  • Familiarity with tools like Datadog & Splunk, and Git.

Preferred Skills

  • Troubleshooting across network, caching, queuing, storage, and distributed service layers.
  • Experience with Go (Golang) and cloud-native architectures.

Key Skills
Education

Any Graduate

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