Lead Software Engineer - Search Platform
T
TetraScienceLife Sciences SaaS
United StatesFull-TimeLead
Salary not disclosed
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Job Details
- Experience
- 10+ years
- Required Skills
- AWSPythonElasticSearchTypeScriptCI/CDNLP
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 (custom configuration, relevance tuning, performance optimization at scale).
- Strong understanding of semantic and hybrid retrieval: embeddings, transformer models, vector similarity, ranking logic, relevance tuning, and blending with classical keyword search.
- Expert-level coding skills in TypeScript and Python building robust APIs and backend services.
- Proven ability to build and operate search infrastructure on cloud platforms (AWS preferred), including containerization, CI/CD, observability, and capacity planning.
- Familiarity with scientific or unstructured data processing (documents, tables, analytical results, experimental datasets).
- Excellent communication and collaboration skills working alongside scientists, AI researchers, and product teams.
- Exposure to NLP, LLMs, embedding generation, or retrieval-augmented workflows.
- Experience with vector databases / embeddings stores (e.g., OpenSearch) to support semantic search and RAG.
- Strong problem solving skills, comfortable navigating ambiguity and translating loosely defined scientific workflows into well-engineered search systems.
Responsibilities
- Architect a full-stack Search Platform across all layers of indexing and scoring, query understanding, rewriting and federation, and extensible search experiences.
- Continuously improve search quality through evaluation metrics such as precision@K, recall@K, MRR, and relevance testing with real scientific use cases.
- Engineer sophisticated hybrid search pipelines that blend sparse (keyword), structured (metadata), and dense (vector) retrieval, designing custom ranking logic, reciprocal rank fusion, and relevance tuning.
- Lead by example and write code, review designs, and set the standard for engineering quality on the Search Platform team. Mentor engineers and help grow the team's search and distributed systems expertise.
- Contribute to architectural decisions, technical strategy, and platform-wide improvements to accelerate scientific insight generation.
- Own and operate the Search Platform infrastructure, ensuring high availability, scalability, performance, and observability across indexing, embedding generation, and query execution.
- Develop and maintain backend services and APIs in Python and TypeScript that power search capabilities for scientists, data engineers, and AI applications.
- Ensure security, compliance, and tenant isolation as part of operating search services in enterprise bio-pharma environments.
- Collaborate with Applied AI Scientists to integrate embeddings, transformer models, and chemical fingerprints into production search workflows.
- Architect and implement scientific entity resolution and knowledge graph pipelines to transform raw text into interconnected knowledge.
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