Kubernetes Jobs in Web3

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Job Position Company Posted Location Salary Tags

Dcentralab

Remote

$72k - $75k

Gemini

New York, NY, United States

$230k - $355k

Zscaler

Remote

$126k - $148k

Zscaler

Remote

$182k - $260k

Parity

Remote

$94k - $120k

Keyrock

Brussels, Belgium

$112k - $156k

Chainalysis

Turkey, NC, United States

$140k - $147k

Chainalysis

Denmark

$119k - $120k

Bitmex

Remote

$87k - $95k

Alpaca

Remote

$84k - $115k

Nansen

Remote

$90k - $150k

Blockhouse

New York, NY, United States

$110k - $170k

Consensys

Remote

$168k - $220k

Ethena Labs

Remote

$140k - $201k

OpenTag

Sofia, Bulgaria

$84k - $100k

Dcentralab
$72k - $75k estimated
Remote
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Description

We are looking for a AI Web3 Backend Engineer with deep expertise in DeFi protocolsbackend engineering, and agentic architectures. You will play a pivotal role in designing and building the marketplace of AI agents, enabling them to collaborate, execute multi-agent workflows, and securely manage funds on-chain.This role requires someone who is as comfortable deploying large-scale backend systems as they are with smart contract engineering and the next-gen agent-to-agent (A2A) protocols that power AI-native Web3 applications.Key Responsibilities

  • Architect and implement the Traia.io AI Agent Marketplace backend and deployment infrastructure.
  • Build and maintain multi-agent workflows: utility agents, solver agents, settlement agents, etc.
  • Integrate MCP servers, A2A protocols, and on-chain execution environments.
  • Develop secure agent deployment principles (sandboxing, containerization, notarization).
  • Implement DeFi trading strategies through on-chain agent logic and Web3 integrations.
  • Work with zk-systems and TLS notarizations to enable verifiable execution and trust guarantees.
  • Collaborate with researchers, smart contract engineers, and AI experts to shape AI-on-chain standards.



Requirements
  • Backend engineering expertise: strong experience in designing and deploying distributed systems.
  • Web3 development background: smart contracts (Solidity/Rust), DeFi protocol integrations, on-chain settlement logic.
  • Agentic architectures: familiarity with multi-agent systems, MCP servers, A2A protocol, and autonomous workflow orchestration.
  • Solid knowledge of deployment architectures for agent-based systems (Docker, Kubernetes, enclaves, secure containerization).
  • Understanding of cryptography and verification systems (zk proofs, TLSNotary, EIP-1271-style validation).
  • Strong ability to reason about security, decentralization, and performance tradeoffs.
  • Bonus: familiarity with RAG pipelines or AI-enhanced decision-making.

What We Offer

  • The chance to build foundational infrastructure for the AI x Web3 ecosystem.
  • Work on cutting-edge multi-agent frameworks and verification systems.
  • A highly collaborative environment of engineers, researchers, and builders pushing the frontier.
  • Remote-first culture with flexible collaboration.

Is Kubernetes high demand?

Yes, Kubernetes is currently in high demand in the technology industry

Kubernetes is an open-source container orchestration platform that is widely used for deploying, scaling, and managing containerized applications

It provides a standardized way to manage and automate the deployment of containerized applications across multiple hosts and provides benefits such as reliability, scalability, and flexibility

As more and more organizations move towards containerized architectures, Kubernetes has become a critical component of their infrastructure

Kubernetes is used by companies of all sizes, from startups to large enterprises, and across various industries, including finance, healthcare, and e-commerce

According to various job market and salary surveys, Kubernetes-related skills are in high demand, and job positions related to Kubernetes are growing at a rapid pace

In fact, Kubernetes is often listed as one of the top skills that are in high demand by technology companies

Overall, Kubernetes is a highly sought-after skill in the technology industry, and it's likely to remain in high demand in the foreseeable future as more and more organizations adopt containerization and cloud-native architectures.