[Remote] Platform Engineer

Note: The job is a remote job and is open to candidates in USA. NeuBird AI is scaling rapidly and is seeking a Platform Engineer to build internal tools and infrastructure that enhance engineering productivity. The role involves creating self-service platforms, streamlining developer workflows, and implementing solutions that promote efficient code deployment and debugging.

Responsibilities

• Build and maintain internal platforms that power engineering productivity at NeuBird
• Design developer tools and self-service systems that let engineers deploy code, provision infrastructure, and debug issues without waiting for platform team intervention
• Build CLI tools, internal APIs, automation frameworks, and abstractions that hide complexity while maintaining flexibility
• Work on our Kubernetes platform, creating deployment patterns and guardrails that make it easy to do the right thing and hard to break production
• Implement infrastructure as code patterns, build CI/CD improvements that speed up feedback loops, and create observability tooling that helps engineers understand their services in production
• Maintain our developer documentation, run internal workshops on platform capabilities, and gather feedback to prioritize platform improvements
• Understand what slows engineers down and build solutions that scale across the engineering organization
• Partner with SRE on reliability requirements, work with security on compliance needs, and ensure platform changes don't break existing workflows

Skills

• 3-5 years building internal platforms or infrastructure tooling, ideally at a company with multiple engineering teams sharing common infrastructure
• Deeply experienced with Kubernetes (building platforms on top of it, not just using it)
• Infrastructure as code (Terraform, Helm, Kustomize)
• CI/CD systems
• Understanding of AWS and Azure services
• Experience building APIs and CLI tools
• Ability to design abstractions that are both simple to use and flexible enough for diverse use cases
• Experience with Docker
• Understanding of container orchestration
• Ability to debug when deployments fail
• Comfortable with at least one programming language for building tooling (Python, Go, or similar)
• Ability to write clear documentation that actually helps people
• Understanding of GitOps principles
• Understanding of observability fundamentals
• Ability to balance developer experience with security and reliability requirements
• Focused on enabling others
• Ability to gather requirements from engineering teams
• Ability to prioritize platform work based on impact
• Ability to know when to build versus adopt existing tools

Company Overview

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