Cyberhaven

Staff Software Engineer (Cloud API)

Cyberhaven
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1 day ago

Base Salary

$220k - $260k/yr

Responsibilities

  • Design and implement highly scalable and fault-tolerant solutions protecting enterprise data across public clouds, SaaS applications, and AI agents.
  • Build security capabilities that provide visibility into and control over AI agents’ discovery, access, processing, and sharing of sensitive enterprise data.
  • Analyze and troubleshoot performance and scaling issues in distributed systems.
  • Develop enterprise-scale software, APIs, and microservices that process untrusted data and communicate with hundreds of thousands of internet endpoints.
  • Write robust, secure-by-design software and contribute substantially to the product architecture.

Requirements

  • 5–8 years of industry experience building high-scale security products; data security experience is 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 or SaaS applications, including large-scale data integration from third-party SaaS, PaaS, or IaaS APIs.
  • Extensive enterprise application development experience, preferably in Go, or proficiency in Python, Java, or Rust.
  • Familiarity with Bigtable, BigQuery, or graph databases such as Neo4j or AWS Neptune is a plus.
  • Expertise profiling and optimizing distributed code interacting with large databases and streaming platforms.
  • Experience designing and implementing RESTful APIs, with hands-on knowledge of microservices and Kubernetes.
  • Excellent verbal and written English communication skills and comfort collaborating with distributed teams across Europe, India, and the US.
Cyberhaven

About Cyberhaven

201-500 employees

Cyberhaven builds an enterprise data security platform that traces data lineage and enforces policy to prevent loss and insider risk across endpoints, SaaS, and cloud. It sells software and SaaS subscriptions to security teams to replace or augment DLP and DSPM with real-time protection that adapts to workflow context, including human and AI agent activity. Founded in 2016 and headquartered in Palo Alto, California, the company is privately held.

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