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About the Role

Cloudflare’s Data Org builds systems for data ingestion, processing, storage, and retrieval, powering logs, analytics, and alerts for customer visibility. We seek systems-oriented backend engineers to solve distributed-systems problems at scale, primarily using Go, and operating the systems they create across the data lifecycle.

Responsibilities

Design, build, and operate reliable distributed systems that process very large volumes of data.
Develop and optimise backend services and data platform components, primarily in Go.
Improve data integrity, delivery latency, query performance, availability, and operational efficiency.
Build systems that handle failure safely through techniques such as backpressure, retries, idempotency, replication, and graceful degradation.
Define service-level objectives, monitor production health, plan capacity, and respond to incidents.
Diagnose performance bottlenecks across ingestion, processing, storage, and retrieval.
Build and operate large-scale ClickHouse clusters and contribute improvements to the ClickHouse ecosystem.
Develop data delivery pipelines that route data from Cloudflare’s global network to customer destinations.
Build and scale GraphQL APIs, log delivery integrations, and near real-time alerting products.
Collaborate with product and engineering teams to understand their data needs and design pragmatic solutions.
Evaluate technologies and contribute to the next generation of Cloudflare’s data platform.
Participate in an on-call rotation for the production systems owned by your team.

Requirements

At least three years of professional software engineering experience building backend, infrastructure, database, or distributed-data systems.
Strong Go programming skills, or substantial systems programming experience (Rust, C++) with the ability to become productive in Go quickly.
Experience building and operating production services, including deployment, monitoring, capacity planning, incident response, and debugging.
A solid understanding of distributed-systems concepts, including concurrency, consistency, fault tolerance, partitioning, and data integrity.
Experience with high-throughput or low-latency data processing.
Hands-on experience with observability tools such as Prometheus and Grafana, including monitoring high-cardinality workloads.
Strong analytical and troubleshooting skills, particularly for complex production problems.
Clear communication and an ability to collaborate across engineering and product teams.
Demonstrated depth in database systems: SQL, analytical databases, database internals, query optimisation, performance tuning, or operating large database clusters.
Demonstrated depth in data delivery and retrieval: Streaming systems, event-driven architectures, data pipelines, API development, or customer-facing data integrations.

Skills

Go
Rust
C++
Prometheus
Grafana
SQL
ClickHouse
Kafka
Flink
GraphQL
Terraform
Salt
Docker
Kubernetes

Location

Atlanta, US
Austin, US
Denver, US
Lisbon, Portugal
London, UK
Seattle, US
Washington DC, US

Work Type

Onsite
Remote
Hybrid

Experience Level

Mid-level

Salary/Compensations

€54,000 - €91,000 (Portugal)
$156,000 - $215,000 (Colorado)

Benefits

Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave

About the Company

Cloudflare’s Data Org builds the systems that ingest, process, store, and retrieve data generated across our global network. These systems power the logs, analytics, and alerts that give customers near real-time visibility into the security, reliability, and performance of their Internet properties.