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CloudflareCloudflare

Senior Distributed Systems Engineer

Build and operate distributed backend services enforcing geographic data residency boundaries on Cloudflare's global edge network. Requires 5+ years building production distributed systems with deep knowledge of consistency, failure modes, and compliance constraints; full-stack ownership in Go/Rust.

About the job

Role Responsibilities

  • Design, build, and operate backend services that enforce regional boundaries on where customer data is stored, processed, and decrypted, across a globally distributed edge network.
  • Contribute to end-to-end feature delivery — write technical designs and RFCs, implement services and libraries, add tests and observability, drive rollout, and own the resulting systems in production.
  • Partner with engineers on adjacent platforms, cryptography, networking, data, and product teams to integrate residency guarantees into new and existing surfaces without regressing performance or reliability for other customers.
  • Reason carefully about failure modes, consistency, and blast radius; design systems that fail closed for compliance while degrading gracefully for availability, and make these tradeoffs explicit in design docs.
  • Participate in on-call for your services, lead incident response and post-mortems, and continually invest in reliability, capacity planning, and cost.
  • Raise the engineering bar through code review, mentorship, and clear written communication; contribute to the team's engineering standards and tooling.

Role Requirements

  • 5+ years of professional experience designing, building, and operating production distributed systems at scale.
  • Strong proficiency in at least one system or backend language such as Go, Rust, or C/C++, and a willingness to work in others as the codebase demands.
  • Solid grasp of distributed systems fundamentals, including:
    • Consistency and consensus models (strong, sequential, eventual; Paxos / Raft at a conceptual level).
    • Replication, sharding, and partitioning strategies, and their tradeoffs against availability and latency.
    • Failure modes: partial failure, network partitions, split brain, clock skew, and how these show up in real systems.
    • Idempotency, retries, backpressure, timeouts, circuit breakers, and rate limiting as first-class design concerns.
    • Health checking, failure detection, leader election, and graceful degradation.
    • Observability: metrics, logs, and tracing as design inputs, not afterthoughts.
  • Practical experience with API design (REST or gRPC), relational databases, and asynchronous messaging or event streaming systems, with a clear understanding of transactional and consistency boundaries.
  • Comfortable with AI-assisted development tooling, with the judgment to use it to accelerate work while remaining accountable for correctness, security, and design quality.
  • Track record of production ownership: on-call, incident response, post-mortems, and continuous investment in reliability and performance.
  • Strong written and verbal communication skills; ability to write clear design documents and collaborate effectively across time zones.

Nice-to-Have Skills

  • Experience building compliance-driven, security-sensitive, or multi-region systems.
  • Familiarity with cryptography basics — envelope encryption, key management, HSMs, or PKI.
  • Exposure to edge, CDN, or L4/L7 proxy platforms, or to large-scale globally distributed storage or key-value systems.
  • Experience contributing to or driving multi-team, multi-quarter engineering programs with cross-functional dependencies across platform, security, and product teams.

Skills

Go, Rust, C/C++, Distributed Systems, Consensus, Paxos, Raft, Replication, Sharding, Partitioning, API Design, gRPC, Postgres, Kubernetes, Observability

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