Decentralized Network Analyst -

Location

Hybrid engagement (remote & in office)

Employment Type

40h / week

Role Overview

We are seeking Decentralized Network Analysts to oversee the OriginTrail DKG & Neuroweb, ensuring network stability, security, and efficiency.

This role involves continuously analyzing system metrics, detecting irregularities, and proposing optimizations to enhance overall performance.

Your work will contribute to the long‑term usability, health and scalability of the Decentralized Knowledge Graph and Neuroweb by building & improving monitoring systems, analyzing network metrics, and occasionally testing optimizations in controlled environments.

Requirements

• Ideally previous experience in a similar role
• Degree in Computer Science, Electrical Engineering, Telecommunications or related field.
• Experience with databases, data visualization tools, and analytics frameworks.
• Strong problem‑solving skills and attention to detail.
• Understanding of networks, communication protocols, and peer‑to‑peer systems is a plus.
• Knowledge of network security and performance optimization techniques.
• High English language proficiency

Responsibilities

Benefits

About Trace Labs

We are the core developers of OriginTrail — the open, trusted knowledge foundation for the age of AI. As part of the OriginTrail ecosystem, we are building and leveraging the open‑source OriginTrail Decentralized Knowledge Graph (DKG) and other technologies. Through them, we enable a universe of AI‑ready Knowledge Assets and deliver AI‑powered semantic search to enterprises and individuals worldwide. Knowledge Assets enabled by OriginTrail are based on verifiable information provenance, ownership, and trust, allowing anyone to take part in trusted knowledge sharing. All Knowledge Assets are connected in one Decentralized Knowledge Graph, generating enormous value based on the law of network effects – Metcalfe’s law. Working with world‑class partners, such as Parity, Acala, DigitalOcean, Oracle, British Standards Institution, Swiss Federal Railways, Next Generation Internet initiative, GS1, and others, we are at the forefront of technological advancement. We drive technology deployment and adoption of pioneering solutions through investments and our own research and development endeavors in diverse sectors. From life sciences and healthcare to construction, supply chains, scientific research, and even the metaverse, our work and influence are shaping the future.

What would your day at Trace Labs be like? As part of Trace Labs, you will have the unique opportunity to research and utilize state‑of‑the‑art technology to build, design, help implement, or communicate (depending on the team you are applying for) AI‑ready solutions daily, utilizing the power of the OriginTrail Decentralized Knowledge Graph. Because technical novelty requires constant learning, over the years, we have become big fans of scrum, self‑organizing teams, and evolving solutions from proof‑of‑concepts to complete production‑ready systems. This usually involves working together with the research community and institutions from relevant industries as well as our supportive open‑source community. This means we communicate and document our work in English and are big fans of standards, such as GS1 and W3C, as well as engineering frameworks, such as using the NASA technology readiness level scale. Applied learning is what we value the most, as this increases the knowledge of the whole organization. You will most likely be engaged in hands‑on implementation projects with our partners and clients.

Application Instructions

Ready to apply? Apply by sending your resume and a short motivation letter to

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