Senior Software Engineer (AI Security
Cyberhaven1 month ago
Bengaluru, IndiaSenior
Responsibilities
- Design, extend, and optimize large-scale fault-tolerant backend systems processing billions of real-time events.
- Build and ship production backend services using Go.
- Develop security capabilities that protect sensitive customer data flowing into and out of LLMs, GenAI applications, AI tools, and agents.
- Contribute to the architecture and evolution of Cyberhaven’s AI Security platform.
- Profile, troubleshoot, and optimize distributed applications, event streams, and large databases.
- Build API-level integrations and connectors for enterprise SaaS and AI platforms.
- Write secure-by-design, hardened software that processes untrusted data and communicates with large numbers of endpoints.
- Collaborate with engineers, product teams, customers, and distributed teams across India, Europe, and the US.
Requirements
- At least 4 years of software engineering experience building backend systems used at scale.
- Strong hands-on Go experience and production experience building and shipping backend services in Go.
- Production experience building and operating distributed systems, microservices, and Kubernetes-based applications.
- Experience working with databases at significant scale.
- Experience profiling, troubleshooting, and optimizing distributed applications using large databases, event streams, or streaming platforms.
- Strong understanding of reliability, performance, and security for systems processing sensitive or untrusted data.
- Experience with GCP services such as BigTable, BigQuery, or Spanner is preferred.
- Experience building API integrations or connectors with enterprise SaaS applications is preferred, particularly AI/LLM platforms.
- Excellent verbal and written English communication skills and comfort collaborating with distributed teams.
- Applicants must be based in Bangalore.
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.