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Distributed Systems Engineer, Analytical Database Platform

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: Linuxconfig
Full Time position
Listed on 2026-10-16
Job specializations:
  • Software Development
    Backend Developer
Salary/Wage Range or Industry Benchmark: 156000 - 215000 USD Yearly USD 156000.00 215000.00 YEAR
Job Description & How to Apply Below
Distributed Systems Engineer, Analytical Database Platform

Austin

Available Locations
  • Atlanta, US
  • Austin, US
  • Lisbon, Portugal
  • London, UK
  • Seattle, US
  • Washington DC, US

Applications will be accepted until November 23, 2026.

About the Role

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.

We are looking for systems-oriented backend engineers who enjoy solving distributed-systems problems at large scale. You will build primarily in Go, operate the systems you create, and work across the data lifecycle, from high-throughput ingestion and delivery to analytical storage and customer-facing retrieval.

Engineers in this role typically develop depth in one of two areas:

  • Analytical database systems:
    Building and operating our Click House-based analytical platform, improving database performance, reliability, and scalability.
  • Data delivery and retrieval:
    Building streaming pipelines, public APIs, log delivery integrations, and alerting systems that make customer data accessible and actionable.

We are looking for strong backend and systems fundamentals, production operational experience, and demonstrated depth in at least one of these areas.

What You’ll Do
  • 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 back pressure, 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.

Depending on your area of focus:

  • Build and operate large-scale Click House clusters and contribute improvements to the Click House 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.
What We’re Looking For
  • 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 at least one of the following areas:

  • Database systems: SQL, analytical databases, database internals, query optimisation, performance tuning, or…
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