Overview
Staff Software Engineer on Cyberhaven's Cloud API team, helping drive and evolve the data and AI security product as an early contributor with substantial architectural impact.
What you'll do
- Design and implement highly scalable and fault-tolerant solutions to protect enterprise data across public clouds (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.
- Work with a modern, constantly evolving microservices-based stack that includes Go, Kubernetes, Bigtable, BigQuery, Spanner, Redis, Docker, and more.
- 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.
What you'll need
- 5-8 years of industry experience building high-scale security products.
- 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, and comfortable collaborating frequently with distributed teams across Europe, India, and the US.
Nice to have
- Experience in data security (highly preferred).
- Experience building AI agents, agentic applications, or security solutions for AI agents, with familiarity with agent frameworks, tool calling, MCP, and securing agent access to enterprise data (highly preferred).
- Familiarity with GCP Bigtable, BigQuery, or graph databases such as Neo4j or AWS Neptune.
Details
- Location: Bangalore (Bengaluru), India.
Read the full description and apply on the company’s own careers page.