Senior Software Engineer

Description

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

• Design and build scalable, production-grade backend and frontend systems that support our autonomous AI agents.
• Work closely with security researchers and AI engineers to translate cutting-edge security findings into automated product features.
• Own entire features and complex projects from initial ideation and technical design to deployment and monitoring.
• Shape our long-term architecture and tech stack choices, maintaining a high bar for code quality and engineering culture in a fast-paced environment.
• Tackle "zero-to-one" challenges as we evolve our platform to handle increasingly complex enterprise environments.

Requirements

• 6+ years of professional experience in fullstack software development, ideally within high-growth environments.
• Deep hands-on expertise with TypeScript, Node.js, and React.
• You are a self-starter and creative problem solver who thrives under ambiguity and delivers high-quality results quickly.
• Strong teamwork and communication skills, with the ability to explain complex technical trade-offs to both technical and non-technical stakeholders.
• A strong commitment to quality first, with rigorous self-driven QA to ensure high standards in both code and final outputs.

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.