Distributed Systems Engineer, Analytical Database Platform

Cloudflare Events
Austin, TX
RemoteCareer-pivot friendly

Who this role is best for

Strong fit for backend engineers with distributed systems experience who can operate and optimize analytical databases or data delivery pipelines, particularly those with Go proficiency and a background in production systems.

Best fit for

  • Candidates with Go expertise and experience in large-scale database operations or data delivery pipelines
    — “Develop and optimise backend services and data platform components, primarily in Go.”
  • Individuals who have worked on high-throughput data systems and have production operational experience
    — “Experience building and operating production services, including deployment, monitoring, capacity planning, incident response, and debugging.”
  • Professionals with a background in distributed systems concepts and fault-tolerant design
    — “A solid understanding of distributed-systems concepts, including concurrency, consistency, fault tolerance, partitioning, and data integrity.”

Things to consider

  • On-call rotation is expected, which may require availability outside standard working hours
    — “Participate in an on-call rotation for the production systems owned by your team.”
  • Compensation varies significantly by location, which may affect salary expectations
    — “Compensation may be adjusted depending on work location.”

How to stand out

  • Highlight experience with ClickHouse or similar analytical databases in your resume and interviews
    — “Build and operate our ClickHouse-based analytical platform.”
  • Emphasize your hands-on work with observability tools like Prometheus and Grafana
    — “Hands-on experience with observability tools such as Prometheus and Grafana.”
  • Showcase your ability to optimize query performance and improve data integrity
    — “Improve data integrity, delivery latency, query performance, availability, and operational efficiency.”
  • Demonstrate your experience with large-scale distributed systems and failure handling techniques
    — “Build systems that handle failure safely through techniques such as backpressure, retries, idempotency, replication, and graceful degradation.”
  • Include examples of working with streaming technologies like Kafka or Flink
    — “Kafka, Flink, or similar streaming technologies.”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • design and build reliable distributed systems
  • improve data integrity and performance
  • operate production systems
Typical background
backend engineeringdistributed systemsproduction operations

Skills & requirements

Required

Distributed SystemsGo ProgrammingProduction OperationsObservability

Preferred

ClickhouseGraphQL

Stack & domain

GoClickhouseGraphQLPrometheusGrafanaProblem SolvingTeam CollaborationAnalytical ThinkingDistributed SystemsData ProcessingDatabase Systems

About the role

Original posting from Cloudflare Events via Greenhouse

Available Locations

Atlanta, US

Austin, US

Denver, 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 ClickHouse-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 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.

Depending on your area of focus:

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.

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 operating large database clusters.

Data delivery and retrieval: Streaming systems, event-driven architectures, data pipelines, API development, or customer-facing data integrations.

Helpful Experience

ClickHouse or another large-scale analytical database.

Kafka, Flink, or similar streaming technologies.

GraphQL or other high-volume API technologies.

Terraform, Salt, or other Infrastructure as Code tooling.

Docker, Kubernetes, or Linux container technologies.

Contributions to open-source database or distributed-systems projects.

If you enjoy building efficient systems, understanding how they behave in production, and solving data problems at global scale, we would like to hear from you.

Compensation

Compensation may be adjusted depending on work location.

For Portugal based hires: Estimated annual salary is between €54,000 - €91,000.

For Colorado based hires: Estimated annual salary of $156,000 - $215,000

Equity

This role is eligible to participate in Cloudflare's equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare 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

Financial Benefits

Short and Long Term Disability Insurance

Life & Accident Insurance

401(k) Retirement Savings Plan

Employee Stock Participation Plan

Time Off

Flexible paid time off covering vacation and sick leave

Leave programs, including parental, pregnancy health, medical, and bereavement leave

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Source: Cloudflare Events careers (Greenhouse)

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