Founding Software Engineer

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ThirdLaw Molecular

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1 - 10 employés

Fondée en 2020

🧬 Biotechnologie

💊 Pharmaceutique

⚕️ Assurance santé

Biotechnology • Pharmaceuticals • Healthcare Insurance

ThirdLaw Molecular est une entreprise de biotechnologie pionnière qui a développé une plateforme révolutionnaire utilisant les molécules Spiroligomer™ pour la découverte de médicaments ciblés et le diagnostic. Fondée par le Dr Christian Schafmeister, l'entreprise se concentre sur la création d'une nouvelle classe de thérapeutiques plus sûres et plus efficaces, en employant une plateforme chimique unique pour la conception de molécules synthétiquement conçues. Leur approche innovante permet une liaison hautement sélective aux protéines, augmentant le potentiel pour des thérapies médicamenteuses et des applications diagnostiques.

Description

• Architect and evolve core backend systems—event ingestion, real-time risk evaluation, semantic search, and investigation-grade querying. • Design and optimize streaming data pipelines using Kafka, Redpanda, or similar technologies to support high-throughput, low-latency processing of LLM interactions. • Define and refine data models and schemas across structured (Postgres), analytical (ClickHouse), unstructured (S3), and vector (Qdrant) storage layers. • Identify architectural weaknesses and performance bottlenecks across ingest, indexing, and query layers; lead improvements to support scalability, correctness, and observability. • Implement data ingestion and transformation frameworks that support policy evaluation, semantic analysis, and dynamic response. • Optimize query performance, storage efficiency, and retrieval accuracy to support deep investigation and real-time enforcement. • Build and maintain backend APIs, monitoring infrastructure, and policy enforcement workflows that underpin the ThirdLaw platform.

🎯 Exigences

• 10+ years of backend or data engineering experience, ideally with a focus on distributed systems or streaming architectures. • Strong in Golang and/or Python; experienced with gRPC, REST, and working in Unix/Linux environments. • You’ve been the architect behind at least one complex distributed system—ideally involving real-time data, search, or observability—and can explain your design decisions clearly. • Familiarity with schema evolution, ORMs, and data mapping strategies in evolving analytics systems. • Comfort working with Kubernetes and cloud-native services in AWS/GCP/Azure. • Ability to debug deeply, reason about performance tradeoffs, and own systems end to end.

🏖️ Avantages

• We pay market cash compensation and generally above-market equity. • We have well-designed and generous benefits.