Senior Software Engineer

Terra Security provides agentic AI-powered continuous penetration testing aligned to code changes and evolving attack surfaces, combining a swarm of trained AI agents with human supervision for safety and control. Fortune 500 organizations trust Terra to ensure every attack surface is covered across the web, AI, internal apps, APIs, mobile, networks, and the cloud.

Terra is on track to become the next breakout cybersecurity company with $38 million raised to date, including a $30 million Series A led by Felicis Ventures with participation from Dell Technologies Capital, Silicon Valley CISO Investments (SVCI), SYN Ventures, LAMA Partners, Underscore VC, and Capital One Ventures.

Summary

As a Senior AI Engineer, you will be a key architect of the systems that power our AI-driven security swarm. We are looking for a high-impact engineer who can build production-grade systems that are as robust as they are innovative. You will work at the intersection of cybersecurity and generative AI, turning complex security logic into a seamless, scalable product.

What You’ll Do

• Partner with security researchers and AI engineers to turn cutting-edge findings into automated product features
• Design and ship AI-native features - agents, tool calling, RAG, and eval loops - from idea through production, monitoring, and iteration
• Turn ambiguous product problems into working solutions; learn fast from real usage and feedback
• Work closely with product and engineering to ship together efficiently

Requirements

• 6+ years backend engineering; owns and ships production systems end-to-end
• Deep hands-on experience with TypeScript, Node.js, and React
• Builds AI-native features - agents, tool calling, RAG, and eval loops
• Self-starter who thrives in ambiguity; takes problems from idea to production with little oversight
• Creative problem solver who moves fast without sacrificing quality
• Collaborative teammate who partners closely across functions and helps the team move faster together

Advantage

• A background in cybersecurity, application security, or red/blue teaming.
• Hands-on experience with cloud environments (AWS/GCP), including Docker, Kubernetes, MongoDB, and scaling distributed systems.
• Experience working with Large Language Models (LLMs) and generative AI workflows.
• Prior experience in early-stage, high-growth startups.
• BA/B.Sc. in Computer Science or a related technical field.