Launch Legends-posted 5 days ago
Part-time • Mid Level
Cheyenne, WY

We’re offering a unique opportunity to join Launch Legends (and Autheo) as a part-time Equity Cofounder. Founded nearly four years ago, Launch Legends is at the forefront of bridging Web3 blockchain technology with the next evolution of Web2 integration—bringing businesses on-chain through enterprise-grade solutions, DePIN innovations, and decentralized financial infrastructure. Our flagship project, Autheo, is an AI enabled Layer-Zero OS with an integrated Layer-1 blockchain and complete decentralized infrastructure thast includes decentralized compute, storage, identity, and service marketplaces, as well as a Full-stack development enveronment (DevHub)—engineered for scalable enterprise adoption, developer innovation, and real-world blockchain integration. Autheo is building a sovereign data platform unifying petabyte-scale pipelines, federated lakehouse analytics, and 200GB/s streaming with 25μs query latencies, unbreakable encryption, and GDPR/HIPAA compliance. As a part-time Senior Data Engineer in an equity-based cofounder role, you’ll design end-to-end data pipelines using Apache Spark, Kafka, Airflow, and Trino, powering real-time DeFi analytics, healthcare FHIR processing, and AI model training across DePIN networks. This role is critical to enabling zero-ETL homomorphic encryption and zk-proof provenance at scale. If you’re passionate about data orchestration and Web3, join us to shape the data layer for the next trillion-dollar decentralized economy.

  • Data Pipeline Architecture: Build pipelines for 200GB/s IPFS, Ceph, PostgreSQL, and MongoDB data flows. Implement zero-ETL lakehouse analytics with 25μs query latencies. Design streaming systems for 50B+ daily DePIN events via Kafka.
  • Secure Data Processing: Integrate homomorphic encryption for exabyte-scale data security. Implement zk-proof provenance with 1-5ms validation. Ensure differential privacy (ε=0.5) for DePIN datasets.
  • Compliance & Governance: Embed GDPR/CCPA/HIPAA-compliant routing with audit logging. Design $THEO token-based governance for data pipeline upgrades. Generate zk-proof audit trails for SOC 2/HITRUST certification.
  • Data Reliability: Deploy pipelines to Kubernetes with 99.999% uptime. Implement OpenTelemetry tracing for 100% data paths (<15min MTTR). Build ML-based monitoring for data flow optimization.
  • Developer Ecosystem: Deliver SDKs (Python/JS) for single-command data operations. Build self-service consoles for pipeline deployment in <5 minutes. Design sandbox environments for rapid data testing.
  • Leadership & Innovation: Collaborate with AI/ML, blockchain, and security teams for integration. Lead data architecture reviews for scalability and compliance. Mentor engineers and contribute to open-source data components. Publish at Spark+AI/Web3 Summit on data innovations.
  • Bachelor’s/Master’s in Computer Science, Data Engineering, or equivalent.
  • 5+ years building petabyte-scale data pipelines for high-throughput systems.
  • Expertise in Spark, Kafka, Airflow, Trino, and IPFS/Ceph.
  • Proficiency in zk-proofs and compliance auditing.
  • Background in DeFi analytics or healthcare FHIR processing.
  • Experience with open-source data tooling or multi-language SDKs.
  • Contributions to blockchain data standards or patents.
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