Decentralized Network Analyst →

LOCATION : Hybrid engagement (remote & in office)

TYPE OF EMPLOYMENT : 40h / week

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, analysing 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

Your responsibilities would include :

We offer :

About Trace Labs

We are the core developers of OriginTrail — theopen, trusted knowledge foundation for the age of AI.

As part of the OriginTrail ecosystem, we are building and leveraging the open-source OriginTrail Decentralized KnowledgeGraph (DKG) and other technologies. Through them, we enable a universe of AI-ready Knowledge Assets and deliver AI-poweredsemantic search to enterprises and individuals worldwide. Knowledge Assets enabled by OriginTrail are based on verifiableinformation provenance, ownership, and trust, allowing anyone to take part in trusted knowledge sharing. All KnowledgeAssets 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, SwissFederal Railways, Next Generation Internet initiative, GS1, and others, we are at the forefront of technologicaladvancement. We drive technology deployment and adoption of pioneering solutions through investments and our own researchand development endeavors in diverse sectors. From life sciences and healthcare to construction, supply chains, scientificresearch, 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 thepower of the OriginTrail Decentralized Knowledge Graph. Because technical novelty requires constant learning, over theyears, we have become big fans of scrum, self-organizing teams, and evolving solutions from proof-of-concepts to completeproduction-ready systems. This usually involves working together with the research community and institutions from relevantindustries 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 asengineering frameworks, such as using theNASA technology readiness level scale.

Applied learning is what we value the most, as this increases the knowledge of the whole organization. You will most likelybe engaged in hands-on implementation projects with our partners and clients.

Ready to apply?

Apply by sending your resume and a short motivation letter tocareers@tracelabs.io . If possible, please send us a link toyour GitHub or similar profile. We review the applications on a rolling basis.

Do you think you can contribute to our success in other areas?

Send us your resume and a short motivation letter tocareers@tracelabs.io . We are always open to talent!

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