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Cyberhaven is building data security for the agentic enterprise. The company traces the full lifecycle of enterprise data, adapting protection to changing context as AI agents and workflows evolve. Backed by $250M from Khosla and Redpoint, the team includes leaders from CrowdStrike, Palo Alto Networks, Meta, and Google.
In this Staff Software Engineer role, you will design and implement highly scalable, fault-tolerant solutions to protect enterprise data across public clouds (AWS, GCP, Azure), SaaS applications, and AI agents. You'll build security capabilities that provide visibility into and control over how AI agents discover, access, process, and share sensitive data. This is an early-stage opportunity with substantial impact on product architecture.
Key responsibilities include:
- Designing and implementing scalable security solutions for cloud and SaaS environments
- Building visibility and control mechanisms for AI agent data access and sharing
- Solving real-world scaling problems with performance analysis and troubleshooting
- Working with a modern microservices stack: Go, Kubernetes, Bigtable, BigQuery, Spanner, Redis, Docker
- Writing secure-by-design software that withstands real-world attacks and processes untrusted data
- Collaborating with distributed teams across Europe, India, and the US
You'll be an early contributor shaping the future of data security in an AI-driven world, working on technically challenging problems at scale.
REQUIREMENTS:
- 5–8 years of industry experience building high-scale security products (data security highly preferred)
- Experience building AI agents, agentic applications, or security solutions for AI agents; familiarity with agent frameworks, tool calling, MCP, and securing agent access to enterprise data is highly preferred
- Extensive experience developing distributed applications for public clouds (AWS, GCP, Azure) or SaaS
- Skilled in integrating and ingesting large-scale data from third-party SaaS, PaaS, or IaaS APIs
- Extensive enterprise-scale application development experience, preferably in Go; alternatively proficient in Python, Java, or Rust
- Familiarity with GCP Bigtable, BigQuery, or graph databases (Neo4j, AWS Neptune) is a plus
- Expertise in profiling and optimizing distributed code interacting with large databases and streaming platforms
- Experienced in designing and implementing RESTful APIs with hands-on microservices and Kubernetes knowledge
- Excellent verbal and written English communication skills; comfortable collaborating with distributed teams
