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Lead Platform Engineer - Search Platform

2 months ago
United States
Full-time
Lead
Platform Engineer
Software Development
AWS CI/CD Databricks Elasticsearch LLM Lucene Microservices NLP OpenSearch Python Transformers TypeScript
Apply Now
TetraScience

TetraScience

TetraScience is the only vendor neutral, open, cloud native platform purpose built for science, providing next generation lab data automation and scientific data management to accelerate scientific discovery and improve human life.

Biotechnology
51-250
Founded 2019
$99M raised
View All Jobs 5

Description

  • Architect and implement the next-generation scientific search engine for billions of scientific data points.
  • Engineer hybrid search pipelines that combine keyword, structured metadata, and vector-based retrieval.
  • Design custom ranking logic, reciprocal rank fusion, and relevance tuning for search quality.
  • Own and operate the search platform infrastructure with a focus on availability, scalability, performance, and observability.
  • Develop and maintain backend services and APIs in Python and TypeScript.
  • Collaborate with Applied AI Scientists to productionize embeddings, transformer models, and chemical fingerprints.
  • Build scientific entity resolution and knowledge graph pipelines from unstructured text.
  • Design systems for chemical and biological entity extraction and linking across documents and datasets.
  • Continuously evaluate and improve search quality using metrics such as precision@K, recall@K, and MRR.
  • Contribute to architectural decisions, technical strategy, and platform-wide improvements while mentoring engineers.

Requirements

  • 10+ years of backend or platform engineering experience building distributed, production-grade systems.
  • Hands-on experience with search technologies such as Elasticsearch, OpenSearch, Lucene, or vector databases.
  • Strong understanding of semantic search, embeddings, transformers, similarity scoring, ranking logic, relevance tuning, and hybrid retrieval.
  • Expert-level coding skills in TypeScript and Python for building robust APIs and backend services.
  • Experience building and operating microservices or search infrastructure on cloud platforms, preferably AWS.
  • Experience with containerization, CI/CD, observability, and performance tuning.
  • Familiarity with scientific or unstructured data processing, such as documents, tables, analytical results, or experimental datasets.
  • Strong problem-solving skills and the ability to translate ambiguous scientific workflows into engineered systems.
  • Excellent communication and collaboration skills for working with scientists, AI researchers, and product teams.
  • Exposure to NLP, LLMs, embedding generation, or retrieval-augmented workflows.
  • Experience with large-scale data platforms such as Databricks, Lakehouse architectures, or distributed indexing systems.
  • Experience with cheminformatics tools and libraries such as RDKit, molecular fingerprints, similarity metrics, or substructure search (nice to have).
  • Prior experience implementing chemical search systems, including SMILES parsing, normalization, or chemical indexing (nice to have).
  • Knowledge of vector databases or embedding stores such as OpenSearch to support semantic search and RAG (nice to have).

Benefits

  • 100% employer-paid benefits for eligible employees and immediate family members.
  • Unlimited paid time off (PTO).
  • 401K retirement plan.
  • Flexible working arrangements, including remote work.
  • Company-paid life insurance, LTD, and STD coverage.
  • A culture of continuous improvement with career growth and coaching.
  • Visa sponsorship is not currently available for this position.

Interested in this position?

Apply directly on the company website

Apply Now

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