Distributed Systems Engineer

Available Locations: Bengaluru, India

About the role

We are looking for a talented Distributed Systems Engineer to join the Data Localization team. The team builds the infrastructure that enforces where customer data is stored, processed, and decrypted across one of the largest globally distributed edge networks in the world. The problem is not simply building fast, resilient distributed systems; it is building them with provable geographic boundaries that hold under failure, at the scale and reliability Cloudflare's customers depend on.

You will work across the full stack in Go and Rust, from low-level policy enforcement and cryptographic key routing at the edge to customer-facing APIs and dashboards, on top of Cloudflare's existing infrastructure: the edge fleet, globally distributed key-value storage, Workers and Durable Objects, PostgreSQL, Kubernetes, and regional ClickHouse. Features ship end-to-end: you will own the design, implementation, rollout, and production operation of the systems you build.

This is a good fit if you are drawn to problems where compliance correctness is a hard constraint and not just a quality goal, and where the failure modes you reason about have real consequences for customers operating under regulatory scrutiny.

What you'll do

At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.

Responsibilities

 (Must-Have Skills)

• 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