Staff Software Engineer (Cloud API)

Cyberhaven•San Francisco, CA

2d•$220,000 - $260,000

About The Position

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! This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe.

Requirements

5-8 yrs of industry experience in building high-scale security products.
Experience building AI agents, agentic applications, or security solutions for AI agents.
Extensive experience developing distributed application software for public clouds (AWS, GCP, Azure) or SaaS applications.
Skilled in integrating and ingesting large-scale data from third-party SaaS, PaaS, or IaaS APIs.
Extensive experience developing enterprise-scale applications, preferably in Go. Alternatively, proficient in Python, Java, or Rust.
Expertise in profiling and optimizing distributed code that interacts with large databases and streaming platforms.
Experienced in designing and implementing RESTful APIs, with hands-on knowledge of microservices and Kubernetes.
Excellent verbal and written communication skills in English.
Comfortable collaborating frequently with distributed teams across Europe, India, and the US.

Nice To Haves

Experience in data security is highly preferred.
Familiarity with agent frameworks, tool calling, MCP, and securing agent access to enterprise data is highly preferred.
Familiarity with GCP Bigtable, BigQuery, or graph databases such as Neo4j or AWS Neptune is a plus.

Responsibilities

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.
Build security capabilities that provide visibility into and control over how AI agents discover, access, process, and share sensitive enterprise data.
Solve real-world scaling problems that require thorough performance analysis and troubleshooting skills.
Work with a modern and constantly evolving microservices-based software stack that includes Go, Kubernetes, Bigtable, BigQuery, Spanner, Redis, Docker, and more.
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.