Staff/Principal Software Engineer (AI Security)
Cyberhaven4 months ago
Remote, India +2 moreStaff+
Responsibilities
- Architect, extend, and optimize scalable, fault-tolerant systems processing billions of AI-related events with sub-second latency.
- Set technical direction for securing data flowing into and out of AI models, GenAI applications, and autonomous agents.
- Architect and implement end-to-end security features that protect customer data.
- Profile, troubleshoot, and optimize distributed code using large databases and streaming platforms.
- Build API-level connectors for enterprise SaaS and AI platforms.
- Develop hardened software that processes untrusted data and communicates with hundreds of thousands of internet-connected endpoints.
- Provide technical leadership through architecture reviews, mentorship, and engineering standards.
Requirements
- Strong track record building and architecturally extending large-scale backend systems.
- Deep hands-on experience developing applications in Go.
- Experience operating databases at very large scale.
- Experience profiling and optimizing distributed code using large databases and streaming platforms.
- Hands-on production experience with microservices and Kubernetes.
- Experience with GCP services such as BigTable, BigQuery, and Spanner is a plus.
- Experience building API-level connectors for enterprise SaaS or AI/LLM platforms is a plus.
- Strong English verbal and written communication skills and ability to work with distributed teams in Europe and the US.
- Customer-centric mindset and comfort working in fast-paced, ambiguous environments.
Benefits
- The role is based in India or the European Union.
- Cyberhaven provides advance notification and an opt-out option when AI-assisted interview note-taking is used.
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.