The Umanitek Guardian Agent protects people from deepfakes and digital impersonation by combining Decentralized Knowledge Graphs (DKG) with perceptual intelligence. If you’re excited by the idea of building resilient infrastructure and operational systems for agents that reason, not just predict, you’ll feel right at home.
As a DevOps Engineer, you’ll focus on designing, building, and operating the infrastructure that powers the Guardian Agent ecosystem. This role sits at the intersection of DevOps and backend engineering, with a clear emphasis on infrastructure, reliability, automation, and observability, rather than feature-heavy application development.
You’ll work closely with backend and full-stack engineers to support REST API and MCP-based services, DKG Node runtimes, cloud functions, scheduled workers and agent tooling, ensuring they are deployed, monitored, scalable, and production-ready. You’ll own CI/CD pipelines, cloud infrastructure, monitoring, alerting, scalability and uptime across multiple environments, while contributing selectively to backend services, APIs, and automation code where needed.
This is a hands-on role where ownership, systems thinking, and deep operational responsibility matter. You’ll help ensure that Guardian services are secure, observable, highly available, and easy for the team to evolve.
Responsibilities
- Design, build, and operate cloud infrastructure for the Guardian ecosystem across AWS and DigitalOcean
- Own and evolve CI/CD pipelines, automated deployments, and release workflows for backend services and agent runtimes
- Ensure high availability, uptime, scalability, and performance of production systems
- Deploy, operate, and monitor Node.js based backend services, REST APIs, and MCP tooling from an infrastructure and reliability perspective
- Orchestrate numerous cloud function, VPS and scheduled worker instances
- Implement and maintain monitoring, logging, and alerting systems (Grafana, Loki, metrics, health checks)
- Automate infrastructure provisioning, deployments, scaling, and operational workflows
- Manage containerized workloads using Docker and related tooling
- Apply security best practices across infrastructure, CI/CD pipelines, secrets management, and access control
- Collaborate closely with backend engineers to ensure services are production-ready, observable, and resilient
- Participate in architectural discussions around how AI agents and decentralized systems run reliably in production
Technical experience that is most relevant to us:
- 4+ years of professional experience in a DevOps, Platform Engineer, Backend Engineer, or Infrastructure Engineer role
- Strong experience operating production systems in cloud environments (AWS, GCP, and/or DigitalOcean)
- Solid experience building and maintaining CI/CD pipelines (e.g. GitHub Actions)
- Experience with infrastructure automation and infrastructure-as-code concepts
- Strong experience deploying and operating containerized services using Docker
- Experience implementing monitoring, logging, and alerting (Grafana, Loki, metrics-based observability)
- Experience running backend services and APIs (Node.js, Express, REST) from an operational perspective
- Strong knowledge about databases and stateful services from an infrastructure and reliability standpoint
- Comfort writing JavaScript / TypeScript for automation, scripting, or occasional API or MCP tool development
- Strong networking and systems troubleshooting skills
Technical experience that is nice to have:
- Experience with Kubernetes or managed container orchestration platforms
- Exposure to Model Context Protocol (MCP) tooling or agent-based systems
- Experience operating distributed or decentralized systems
- Familiarity with AI or LLM-powered systems in production
- Experience with advanced monitoring, alerting, or uptime
- Familiarity with Web3 or decentralized infrastructure (blockchain) concepts
- Experience supporting multi-cloud or hybrid environments
- Exposure to monorepo tooling such as Turborepo
Tech Stack and Tools:
- Cloud Platforms: AWS, DigitalOcean, (GCP – nice to have),
- Infrastructure & Automation: Infrastructure-as-Code tools, automation scripts
- Containers & Runtime: Docker (Kubernetes – nice to have)
- CI/CD: GitHub Actions
- Backend Services: Node.js, Express, REST APIs, MCP tools (Nest.js – nice to have)
- Observability: Grafana, Loki, metrics & alerting systems
- Datastores: SQL & NoSQL Databases (Postgres, MySQL, SQLite, Redis, MongoDB)
- Languages & Scripting: JavaScript, TypeScript, (Python – nice to have)
- Version Control & Collaboration: GitHub
- Build & Repo Tooling: Turborepo
Why umanitek?
We’re early, lean, and ambitious. You’ll work directly with founders and researchers behind Umanitek and OriginTrail, 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.
If interested, please send your CV to [email protected] or apply via our website.
On site presence is requested a few times per week, as needed.
