Staff Software Engineer (Cloud API)
Cyberhaven1 month ago
Base Salary
$220k - $260k/yr
Responsibilities
- Design and implement scalable, fault-tolerant solutions protecting enterprise data across public clouds, SaaS applications, and AI agents.
- Build security capabilities providing visibility into and control over AI-agent access to sensitive enterprise data.
- Analyze performance and troubleshoot real-world scaling problems in distributed systems.
- Develop robust, secure-by-design software that processes untrusted data and communicates with hundreds of thousands of internet endpoints.
- Design and implement APIs and microservices using the company’s evolving cloud software stack.
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 preferred.
- Extensive experience developing distributed applications for AWS, GCP, Azure, or SaaS applications.
- Experience integrating and ingesting large-scale data 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, Neo4j, or AWS Neptune is a plus.
- Expertise profiling and optimizing distributed code interacting with large databases and streaming platforms.
- Experience designing RESTful APIs with hands-on knowledge of microservices and Kubernetes.
- Excellent verbal and written English communication skills and comfort collaborating with distributed teams.
Tech Stack
Categories
About Cyberhaven
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.