Founding Software Engineer

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🕒 March 28

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ThirdLaw Molecular

1 - 10 employees

Founded 2020

🧬 Biotechnology

💊 Pharmaceuticals

⚕️ Healthcare Insurance

Biotechnology • Pharmaceuticals • Healthcare Insurance

ThirdLaw Molecular is a pioneering biotechnology company that has developed a groundbreaking platform utilizing Spiroligomer™ molecules for targeted drug discovery and diagnostics. Founded by Dr. Christian Schafmeister, the company focuses on creating a new class of therapeutics that are safer and more effective by employing a unique chemical platform for the design of synthetically engineered molecules. Their innovative approach enables highly selective binding to proteins, enhancing the potential for both drug therapies and diagnostic applications.

📋 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.

🎯 Requirements

• 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.

🏖️ Benefits

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

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