Platform 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.

What You’ll Do

• Own and evolve the cloud infrastructure powering a real-time, AI-driven security platform
• Build new features and platform capabilities, with hands-on coding as a core part of the role
• Design and manage container orchestration with Kubernetes, ensuring reliability and scalability across all services
• Write and maintain Infrastructure as Code
• Implement and own observability across the stack: logging, metrics, alerting, and tracing for AI pipelines and real-time workflows
• Own secrets management, IAM policies, and network security, ensuring the infrastructure meets the bar a security company must clear
• Partner closely with backend, frontend, security, and other teams to build and ship features, improve deployment workflows, and increase system resilience.
  
  

• 5+ years of DevOps or Platform engineering experience in production cloud environments
• Strong coding skills and experience building software, tools, and platform features
• Hands-on expertise with AWS (EKS, IAM, ELB, S3, Bedrock, and related services)
• Strong Kubernetes experience, deploying and managing containerized workloads at scale
• Strong communication and collaboration skills, with the ability to work effectively across multiple teams and technical domains
• Experience building and maintaining CI/CD pipelines (GitHub Actions, or similar)
• Experience with observability tooling (Prometheus, Grafana, CloudWatch, or similar)
• Strong security mindset, with practical experience in secrets management, IAM, and network security best practices
  
  

• GCP or Azure experience
• Hands-on experience with GitOps (ArgoCD)
• Experience with message queue infrastructure (RabbitMQ, Kafka/MSK, AWS SQS)
• 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