About the Role
We are looking for a powerhouse Senior Software Engineer to join our founding R&D.
You aren’t just a developer; you are a core architect of our vision. You will be responsible for building the infrastructure that secures the next generation of AI agents and SaaS ecosystems.
This is a high-impact role where you will own features from the initial “napkin sketch” through to production. You’ll be working with a massive data scale, complex security integrations, and a cutting-edge stack.
What You’ll Do
- End-to-End Ownership: Design, develop, and deploy mission-critical features across our entire stack (from React frontends to Spark data pipelines and K8s-orchestrated microservices).
- Scale for AI Security: Build and optimize high-performance data systems capable of processing vast amounts of security telemetry using Clickhouse, Iceberg, and Spark.
- Architect for Growth: Help define our system architecture as we scale from a small team to a large R&D organization.
- Collaborate & Mentor: Work closely with the product team, to translate business needs into technical reality, while mentoring future hires as the team grows.
What You Bring
- You have at least 5 years of experience, preferably in fast-paced startup environments.
- You are a “Swiss Army Knife.” While you might have a favorite language, you are highly proficient in Python, Go, or TypeScript and can pick up others as needed.
- Proven experience with AWS (Lambda, DynamoDB, RDS) and containerization (K8s, Docker).
- Experience with modern data lakehouse architectures (Iceberg/Spark) or high-performance databases (Clickhouse) is a significant advantage.
- You understand the fundamentals of SaaS security and are excited by the challenge of securing AI agents and LLM workflows.
- B.Sc. in Computer Science or Software Engineering from a leading university or equivalent experience from technological units.
- Solid understanding of system design, distributed systems, and cloud infrastructure.
- Team player with a “get things done” attitude, comfortable in a fast-paced startup culture.
- Experience with performance tuning, observability, and secure coding practices.