Staff Software Engineer - Configuration Management

Pinterest’s Configuration Management Engineering team is seeking a staff software engineer to design and run our large-scale configuration systems. You’ll design build and maintain our service configuration management systems service mesh control plane service discovery zookeeper and other mission-critical infrastructure which delivers configuration updates safely and rapidly to all Pinterest machines.

What you’ll do:

• Develop platform features using workflow orchestration systems like Temporal.

• Develop end-to-end systems for dynamically injecting configuration into running services which are implemented in multiple languages.

• Establish best practices for configuration deployment validation.

• Design and implement service discovery in a hybrid (VMs and Pods) environment.

• Design build and maintain large-scale distributed systems.

• Support and enhance the feature flag system for Pinterest.

• Support the in-house control plane for distributing traffic configuration.

• Contribute to open source projects.

• Evaluate open source and vendor solutions and be involved in the build vs buy decision-making process.

What we’re looking for:

• 6+ years of experience in software engineering with a focus on building and maintaining infrastructure and/or distributed systems.

• Technical leadership experience devising multi-quarter technical strategies and driving them to success.

• Proficiency in multiple programming languages and a strong understanding of best practices in software development.

• Ability to drive cross-team projects; Ability to understand our internal customers (software engineers) their common usage patterns and pain points.

• Experience with Golang and Envoy Proxy is a plus.

• Bonus points for experience developing configuration management systems like Meta’s Configerator Uber’s Flipr CUE Puppet’s Hiera Netflix’s Eureka Hashicorp’s Consul.

Relocation Statement:

This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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