Platform Engineer

We’re building something that doesn’t exist yet: an AI immune system for humans.

The Umanitek Guardian Agent protects people from deepfakes and digital impersonation by combining intelligence with systems built for verification and scale.

If you’re excited by the idea of building reliable platforms and backend systems for agents that reason, not just predict, you’ll feel right at home.

As a Platform Engineer, you’ll build and operate the platform powering the Guardian Agent ecosystem. You’ll work across backend engineering and infrastructure, building production‑ready services while ensuring they can be deployed, monitored, and scaled reliably.

Your primary focus will be developing backend services, REST APIs, MCP tooling, and agent runtimes using Node.js and Type Script. You’ll also own key parts of the platform layer: CI/CD pipelines, cloud environments, deployments, observability, and infrastructure automation.

This is a hands‑on role where ownership and systems thinking matter. You’ll help ensure Guardian services are secure, scalable, observable, and easy for the team to evolve.

• Build and maintain backend services, REST APIs, MCP servers, and agent tooling using Node.js and Type Script
• Design and operate cloud infrastructure on AWS
• Own CI/CD pipelines, deployments, release workflows, and production environments
• Build and maintain containerized services using Docker and infrastructure automation tools
• Ensure reliability through monitoring, logging, alerting, performance optimization, and security best practices
• Troubleshoot production issues across application and infrastructure layers
• Collaborate on architecture decisions around AI agents, decentralized systems, and scalable production infrastructure

• 4+ years of experience in Backend Engineering, Platform Engineering, Dev Ops, or Infrastructure Engineering
• Strong Nest.js, Type Script and Node.js experience building production backend services
• Experience with REST APIs, Express, Nest.js, and microservice architectures
• Experience deploying and operating production systems in cloud environments (AWS, Digital Ocean, or GCP)
• Strong experience with Docker, CI/CD pipelines, and infrastructure automation concepts
• Experience with monitoring, logging, and production troubleshooting
• Solid understanding of databases, networking, Linux systems, and security fundamentals

• Familiarity with Turborepo and monorepo workflows
• Experience with MCP tooling, AI/LLM applications, or agent-based systems
• Experience with Docker or advanced container orchestration
• Experience with Terraform or infrastructure-as-code workflows
• Experience with distributed systems, event-driven architectures, or background workers
• Familiarity with decentralized systems or knowledge graph technologies

• Cloud: AWS (S3, EC2, RDS, EBS, Amplify; GCP - nice to have)
• Infrastructure: Docker, Terraform, Infrastructure-as-Code, automation tooling
• CI/CD: Git Hub Actions

We’re early, lean, and ambitious.

You’ll work directly with founders and researchers behind Origin Trail and Umanitek, helping build the foundation of AI safety infrastructure used by public institutions, enterprises, and individuals.

If that sounds like your kind of hard — come build with us.

We offer a market‑aligned salary, participation in the employee stock option pool, and clear opportunities to grow into senior and leadership roles as the company scales.