Principal Software Engineer (AI Security)
Remote
Job Summary
Architect, extend, and optimize a large-scale, fault-tolerant system processing billions of AI-related events from hundreds of thousands of endpoints in real time with sub-second latency. Set technical direction for securing data flowing into and out of AI models, GenAI applications, and agents by shaping architecture decisions that define this product line. Implement security features protecting customer data end-to-end while writing secure-by-design, hardened software that withstands real-world attacks on untrusted data. Solve real-world scaling problems requiring thorough performance analysis and troubleshooting using a modern microservices stack including Go, Kubernetes, BigTable, BigQuery, Spanner, Redis, Docker, and Etcd. Design and build API-level connectors integrating with SaaS and AI platforms like ChatGPT and Copilot. Raise the technical bar through architecture reviews, mentorship of senior engineers, and establishing patterns others follow.
Required Qualifications
- Strong track record building backends that are actively used at scale
- Significant contribution to and extension of backend architecture
- Deep, hands-on experience developing large applications in Go
- Experience operating databases at very large scale
- Experience profiling and optimizing distributed code that uses large databases and streaming platforms
- Hands-on production experience with microservices and Kubernetes
- Excellent verbal and written communication skills in English
- Ability to frequently communicate with distributed teams in Europe and the US
- Based in India or the EU
Desired Qualifications
- Knowledge of GCP services (BigTable, BigQuery, Spanner)
- Experience building connectors that integrate at the API level with SaaS applications commonly used in the enterprise
- Experience building connectors that integrate at the API level with AI/LLM platforms
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