We're hiring a Backend engineer to help take a deep tech product from MVP to enterprise-ready POC + community launch.
This is a short, high-impact build sprint working directly with founders. LeoTrace is building a security intelligence system for AI-generated code — not a point tool, but a continuously learning layer that captures how developers and AI agents reason about risk, and enforces that intelligence directly inside coding workflows.
What you'll do
- Ship core backend systems required for enterprise POC readiness
- Build and harden event pipelines, data capture, and processing layers
- Implement API endpoints and integrations with developer tooling / CI workflows
- Own reliability, performance, and production readiness of core services
- Work quick, make decisions, and ship without hand-holding
What we're looking for
- Strong backend experience
- Experience building data pipelines, event-driven systems, or developer tooling
- Comfortable with early-stage ambiguity + speed over process
- Able to design clean systems without overengineering
- Bias to action you ship, not just plan
Nice to have
- Experience with security, dev tooling, or CI/CD systems
- Experience working with AI/LLM-integrated products
- Previous startup / zero-to-one experience
Why this matters
You'll be helping take a product from working MVP to enterprise deployable system, including:
- Production-grade data handling
- POC delivery into large organisations
Foundations for a developer-facing product launch
📌 Full Stack Engineer (India)
🏢 Sprint cast
📍 India
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