cyberhaven - Senior/Staff Software Engineer (Content Processing)
Requirements
• 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. • Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe. • AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking.
Responsibilities
• 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 improve event-driven architectures, asynchronous workflows, and distributed coordination mechanisms. • Solve complex engineering challenges involving consistency, retries, idempotency, deduplication, backpressure, and failure recovery. • Make architectural decisions involving distributed storage, messaging systems, and data processing strategies. • Identify and eliminate performance bottlenecks, improving throughput, latency, resource utilization, and infrastructure cost efficiency. • Drive architectural improvements and modernization of existing systems while maintaining production stability. • Own critical services end-to-end, from technical design and implementation to deployment, monitoring, and production operations. • Lead technical design discussions, evaluate architectural trade-offs, and establish engineering best practices. • Collaborate across engineering teams to define technical direction, develop platform capabilities, and solve complex cross-service challenges.
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