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’re looking for an experienced software engineer to help drive and evolve our data and AI security product. Our technology is new and rapidly evolving: you’ll be an early contributor with a substantial impact on the architecture and be solving multiple exciting technical challenges! You'll design and implement highly scalable and fault-tolerant solutions to protect enterprise data across public clouds (e.g., AWS, GCP, Azure), SaaS applications, and AI agents. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Proven Expertise : You have 5-8 yrs of industry experience in building high-scale security products. Experience in data security is highly preferred
- AI Agents and Agentic Security : You have 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
- Cloud and SaaS Development : You have extensive experience developing distributed application software for public clouds (AWS, GCP, Azure) or SaaS applications
- Data Integration at Scale : You are skilled in integrating and ingesting large-scale data from third-party SaaS, PaaS, or IaaS APIs
- Programming Skills : You have extensive experience developing enterprise-scale applications, preferably in Go. Alternatively, you are proficient in Python, Java, or Rust
- Database Proficiency : Familiarity with GCP Bigtable, BigQuery, or graph databases such as Neo4j or AWS Neptune is a plus
More about this role
We’re looking for an experienced software engineer to help drive and evolve our data and AI security product. Our technology is new and rapidly evolving: you’ll be an early contributor with a substantial impact on the architecture and be solving multiple exciting technical challenges!
You'll design and implement highly scalable and fault-tolerant solutions to protect enterprise data across public clouds (e.g., 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 enterprise data.
You'll solve real-world scaling problems that require thorough performance analysis and troubleshooting skills.
You'll work with a modern and constantly evolving microservices-based software stack that includes Go, Kubernetes, Bigtable, BigQuery, Spanner, Redis, Docker, and more.
You'll write robust, secure-by-design software that must withstand real-world attacks while processing untrusted data and communicating with hundreds of thousands of endpoints over the internet.
Proven Expertise : You have 5-8 yrs of industry experience in building high-scale security...
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