Cloudflare

Distributed Systems Engineer

Vaga remota de Engineering com fit claro de localização do candidato.

PublicadaAdicionada recentemente

Países elegíveis1 país aceito

Sinal de senioridadeNível aberto

Modelo de trabalhoRemoto

Locais aceitos para candidatos

Índia

Kubernetes PostgreSQL REST

Resumo da vaga

Distributed Systems Engineer

Requisitos e responsabilidades

Conteúdo da vaga extraído em seções para revisão mais rápida.

Responsibilities

3+ 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.

Details

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.

Responsibilities

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.

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