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