Systems Engineer - Global Resource Management (Data Residency)

Cloudflare is a company on a mission to help build a better Internet, operating one of the world’s largest networks. They are seeking a Systems Engineer for their Global Resource Management team to build and operate microservices and REST APIs that enhance resource management across the platform.

Responsibilities:

• Your primary focus is building and operating the microservices and REST APIs that power the tag-api platform
• You'll design and implement API endpoints, define data models, write migrations, and build the service-layer logic that handles validation, quota enforcement, and concurrency control
• A significant part of the role is scaling the platform to support new resource types and higher-throughput use cases
• This includes building bulk operations APIs that handle thousands of resources per request while considering consistency, latency, and failure-mode tradeoffs
• The services you build are consumed by teams across Cloudflare — Workers, Zero Trust, DNS, Access, Billing — and you'll work with those teams to onboard their resources, integrate with their APIs, and ensure the platform scales with their needs

Requirements:

• 3+ years of professional software engineering experience building production systems at scale
• Proficiency in Go
• Experience designing and building REST APIs. You understand routing, authentication, request lifecycle, and how to design APIs that other teams integrate with at scale
• Comfort with PostgreSQL in production including: schema design, migrations, query optimization, and understanding replication patterns
• Ability to navigate ambiguity, communicate technical tradeoffs clearly, and drive alignment with engineers you don't share a standup with
• Comfort with distributed systems tradeoffs; consistency models, eventual consistency, event-driven replication, and the operational implications of propagating state across multiple databases and edge infrastructure
• Experience building platform infrastructure or internal developer platforms (ie: systems that other engineering teams build on top of)
• Familiarity with Kubernetes for service deployment and operations
• Experience with event-driven architectures, outbox patterns, or message-based replication (e.g., Watermill, Kafka, or similar)
• Familiarity with edge computing platforms such as Cloudflare Workers or similar serverless/edge-native runtimes