Data security for the agentic enterprise. Cyberhaven traces data's full lifecycle and adapts protection as context changes, everywhere work happens. Backed by Redpoint.
About the role
We are looking for an experienced software engineer to design, build, and evolve scalable, reliable backend infrastructure that powers Cyberhaven's data security platform. You will work on technically challenging problems involving distributed systems, asynchronous processing, high-throughput data pipelines, storage systems, and cloud-native infrastructure. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Strong software engineering experience designing, building, and operating complex production backend systems
- Deep understanding of distributed systems fundamentals, concurrency, asynchronous processing, consistency, and fault tolerance
- Strong proficiency in Go, or comparable backend programming experience with the ability to become productive in Go
- Experience designing and operating systems using messaging technologies such as Kafka, Google Cloud Pub/Sub, or AWS SQS
More about this role
We are looking for an experienced software engineer to design, build, and evolve scalable, reliable backend infrastructure that powers Cyberhaven's data security platform.
You will work on technically challenging problems involving distributed systems, asynchronous processing, high-throughput data pipelines, storage systems, and cloud-native infrastructure.
Our team builds and operates core platform services that process large volumes of data across distributed environments. We focus on scalability, reliability, performance, and efficient resource utilization while continuously evolving our architecture to support new capabilities and growing workloads.
This is a hands-on engineering role with significant architectural ownership and opportunities to influence technical direction across the platform. We value engineers who understand how complex systems behave under load, reason about failure scenarios, and make pragmatic engineering trade-offs.
Design, build, and evolve scalable distributed backend systems and high-throughput data processing pipelines.
Develop reliable, high-performance services with a strong focus on concurrency, efficiency, and fault tolerance.
Design and...
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