CL

Distributed Systems Engineer - Data Platform (Delivery, Database, Retrieval)

cloudflare· 25 open roles

Location TBD On-siteFull-time3 days ago
Salaryest.
$140,000 - $220,000
Experience
Mid
Job Type
Full-time
Posted
3 days ago
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About This Role

Cloudflare is seeking a Distributed Systems Engineer to join their Data Org and help build the future of data at the company. The engineer will work on complex distributed systems challenges across different parts of the data stack, including data delivery, analytical database platform, and data retrieval. The role requires experience in software development, distributed systems, and databases, as well as strong programming skills and a deep understanding of software development best practices. The ideal candidate will have a strong foundation in computer science, including algorithms, data structures, distributed systems, and concurrency, and be able to work collaboratively in a team environment. The role requires flexibility to be on-call outside of standard working hours to address technical issues as needed.

Key ResponsibilitiesAI-extracted

  • 1
    Design, develop, and maintain scalable and reliable distributed systems across the entire data lifecycle.
  • 2
    Build and optimize key components of the high-throughput data delivery platform to ensure data integrity and low-latency delivery.
  • 3
    Develop new and improve existing components for the Cloudflare Analytical Platform to extend functionality and performance.
  • 4
    Scale, monitor, and maintain the performance of large-scale database clusters to accommodate the growing volume of data.
  • 5
    Develop and enhance customer-facing GraphQL APIs, log delivery, and alerting solutions, focusing on performance, reliability, and user experience.

RequirementsAI-extracted

  • 3+ years of experience working in software development covering distributed systems and databases.
  • Strong programming skills, preferably in Golang, as well as a deep understanding of software development best practices and principles.
  • Hands-on experience with modern observability stacks, including Prometheus, Grafana, and a strong understanding of handling high-cardinality metrics at scale.
  • Strong knowledge of SQL and database internals, including experience with database design, optimization, and performance tuning.
  • A solid foundation in computer science, including algorithms, data structures, distributed systems, and concurrency.

Perks & BenefitsAI-extracted

Typically: health coverage
Typically: paid time off
Typically: opportunities for professional growth and development
Typically: flexible working hours and remote work options
Typically: access to cutting-edge technologies and tools

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