SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Cyberhaven is building data security solutions for the agentic enterprise, protecting how AI agents and humans discover, access, process, and share sensitive data across clouds and SaaS applications. The company is backed by $250M from Khosla and Redpoint, with leadership 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 AWS, GCP, Azure, SaaS applications, and AI agents. You'll build security capabilities that provide visibility into and control over how AI agents interact with sensitive enterprise data, solve real-world scaling problems requiring deep performance analysis, and work with a modern microservices stack including Go, Kubernetes, Bigtable, BigQuery, Spanner, Redis, and Docker.
You'll write robust, secure-by-design software that withstands real-world attacks while processing untrusted data and communicating with hundreds of thousands of endpoints over the internet. This is an early-stage opportunity with substantial impact on product architecture and technical direction. You'll collaborate frequently with distributed teams across Europe, India, and the US.
REQUIREMENTS:
- 5–8 years of industry experience building high-scale security products; data security experience 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 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, preferably in Go; proficiency in Python, Java, or Rust acceptable
- Familiarity with GCP Bigtable, BigQuery, or graph databases (Neo4j, AWS Neptune) 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 with distributed collaboration
