{"schemaVersion":"jobsearcher.job.v1","id":"de2a0dc34e03fb35d6bade7c","url":"https://jobsearcher.com/jobs/de2a0dc34e03fb35d6bade7c","canonicalUrl":"https://jobsearcher.com/jobs/de2a0dc34e03fb35d6bade7c","title":"Lead Platform Engineer - Search Platform","description":"Who We Are\r\nTetraScience is the Scientific Data and AI company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes.\r\nTetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world's dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: Latest News and Announcements | TetraScience Newsroom:\r\nIn connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective.\r\nIt is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day.\r\nThe Role\r\nWe are seeking a Lead Software Engineer to help expand our scientific search platform beyond traditional keyword search and unlock new capabilities in chemical search, semantic search, and natural language search. In this role, you will work at the intersection of AI/ML, cheminformatics, knowledge representation, and distributed systems, enabling scientists to retrieve and reason over complex experimental datasets, chemical entities, assay results, and unstructured lab documents.\r\nAs a technical leader of the Search Platform team, you will guide, design and implement new search capabilities while also owning the underlying infrastructure that powers them. Lead by example for building the systems, mentor engineers, and help shape the roadmap for search capabilities and platform evolution. This includes maintaining scalable, reliable services and continuously improving the platform as we expand our search offerings. You will collaborate closely with Applied AI Scientists, platform engineers, and product teams to deliver high performance search services that drive discovery, analysis, and decision making across the bio-pharma R&D lifecycle.\r\nIf you are passionate about building scalable search systems, advancing scientific retrieval, and supporting production scale AI workloads, we'd love to talk to you.\r\nWhat You will Do\r\nLead by example to architect and code the next-generation scientific search engine, building a system that can reason over billions of scientific data points—from chemical structures (SMILES) to unstructured lab documents and instrument data.\r\nEngineer sophisticated hybrid search pipelines that blend sparse (keyword), structured (metadata), and dense (vector) retrieval. You will go beyond out-of-the-box OpenSearch to design custom ranking logic, reciprocal rank fusion, and relevance tuning that surfaces the exact \"needle in the haystack\" for drug discovery.\r\nOwn and operate the Search Platform infrastructure, ensuring high availability, scalability, performance, and observability across indexing, embedding generation, and query execution.\r\nDevelop and maintain backend services and APIs in Python and TypeScript that power search capabilities for scientists, data engineers, and AI applications.\r\nCollaborate with Applied AI Scientists to integrate embeddings, transformer models, and chemical fingerprints into production search workflows.\r\nArchitect and implement scientific entity resolution and knowledge graph pipelines to transform raw text into interconnected knowledge. You will design systems that extract and link chemical and biological entities (NER/NED) from unstructured documents, enabling the search engine to \"understand\" relationships between compounds, targets, and assays.\r\nContinuously improve search quality through evaluation metrics such as precision@K, recall@K, MRR, and relevance testing with real scientific use cases.\r\nEnsure security, compliance, and tenant isolation as part of operating search services in enterprise bio-pharma environments.\r\nContribute to architectural decisions, technical strategy, and platform-wide improvements to accelerate scientific insight generation.\r\n10+ years of backend or platform engineering experience building distributed, production grade systems.\r\nHands-on experience with search technologies such as Elasticsearch/OpenSearch, Lucene, or vector databases\r\nStrong understanding of semantic search concepts embeddings, transformers, similarity scoring, ranking logic, relevance tuning, hybrid retrieval.\r\nExpert-level coding skills in TypeScript and Python building robust APIs and backend services.\r\nExperience building and operating microservices or search infrastructure on cloud platforms (AWS preferred), including containerization, CI/CD, observability, and performance tuning.\r\nFamiliarity with scientific or unstructured data processing, such as documents, tables, analytical results, or experimental datasets.\r\nStrong problem solving skills, with the ability to navigate ambiguous scientific workflows and translate them into engineered systems.\r\nExcellent communication and collaboration skills comfortable working alongside scientists, AI researchers, and product teams.\r\nExposure to NLP, LLMs, embedding generation, or retrieval-augmented workflows.\r\nExperience with large-scale data platforms such as Databricks, Lakehouse architectures, or distributed indexing systems.\r\nNice to Have\r\nExperience with cheminformatics tools and libraries (e.g., RDKit), including molecular fingerprints, similarity metrics, or substructure search.\r\nPrior experience implementing chemical search systems, such as SMILES parsing, normalization, or chemical indexing.\r\nKnowledge of vector databases / embeddings stores (e.g., OpenSearch) to support semantic search and RAG.\r\n100% employer-paid benefits for all eligible employees and immediate family members\r\nUnlimited paid time off (PTO)\r\n401k\r\nFlexible working arrangements - Remote work\r\nCompany paid Life Insurance, LTD/STD\r\nA culture of continuous improvement where you can grow your career and get coaching\r\nWe are not currently providing visa sponsorship for this position.\r\nJ-18808-Ljbffr","company":"Tetrascience","rawCompany":"tetrascience","city":"California","state":"MO","isRemote":false,"isActive":false,"createdAt":"2026-04-10T04:52:52.973Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"519290","title":"Web Search Portals and All Other Information Services","slug":"web-search-portals-and-all-other-information-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Platform Engineer - Search Platform","description":"Who We Are\r\nTetraScience is the Scientific Data and AI company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes.\r\nTetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world's dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: Latest News and Announcements | TetraScience Newsroom:\r\nIn connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective.\r\nIt is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day.\r\nThe Role\r\nWe are seeking a Lead Software Engineer to help expand our scientific search platform beyond traditional keyword search and unlock new capabilities in chemical search, semantic search, and natural language search. In this role, you will work at the intersection of AI/ML, cheminformatics, knowledge representation, and distributed systems, enabling scientists to retrieve and reason over complex experimental datasets, chemical entities, assay results, and unstructured lab documents.\r\nAs a technical leader of the Search Platform team, you will guide, design and implement new search capabilities while also owning the underlying infrastructure that powers them. Lead by example for building the systems, mentor engineers, and help shape the roadmap for search capabilities and platform evolution. This includes maintaining scalable, reliable services and continuously improving the platform as we expand our search offerings. You will collaborate closely with Applied AI Scientists, platform engineers, and product teams to deliver high performance search services that drive discovery, analysis, and decision making across the bio-pharma R&D lifecycle.\r\nIf you are passionate about building scalable search systems, advancing scientific retrieval, and supporting production scale AI workloads, we'd love to talk to you.\r\nWhat You will Do\r\nLead by example to architect and code the next-generation scientific search engine, building a system that can reason over billions of scientific data points—from chemical structures (SMILES) to unstructured lab documents and instrument data.\r\nEngineer sophisticated hybrid search pipelines that blend sparse (keyword), structured (metadata), and dense (vector) retrieval. You will go beyond out-of-the-box OpenSearch to design custom ranking logic, reciprocal rank fusion, and relevance tuning that surfaces the exact \"needle in the haystack\" for drug discovery.\r\nOwn and operate the Search Platform infrastructure, ensuring high availability, scalability, performance, and observability across indexing, embedding generation, and query execution.\r\nDevelop and maintain backend services and APIs in Python and TypeScript that power search capabilities for scientists, data engineers, and AI applications.\r\nCollaborate with Applied AI Scientists to integrate embeddings, transformer models, and chemical fingerprints into production search workflows.\r\nArchitect and implement scientific entity resolution and knowledge graph pipelines to transform raw text into interconnected knowledge. You will design systems that extract and link chemical and biological entities (NER/NED) from unstructured documents, enabling the search engine to \"understand\" relationships between compounds, targets, and assays.\r\nContinuously improve search quality through evaluation metrics such as precision@K, recall@K, MRR, and relevance testing with real scientific use cases.\r\nEnsure security, compliance, and tenant isolation as part of operating search services in enterprise bio-pharma environments.\r\nContribute to architectural decisions, technical strategy, and platform-wide improvements to accelerate scientific insight generation.\r\n10+ years of backend or platform engineering experience building distributed, production grade systems.\r\nHands-on experience with search technologies such as Elasticsearch/OpenSearch, Lucene, or vector databases\r\nStrong understanding of semantic search concepts embeddings, transformers, similarity scoring, ranking logic, relevance tuning, hybrid retrieval.\r\nExpert-level coding skills in TypeScript and Python building robust APIs and backend services.\r\nExperience building and operating microservices or search infrastructure on cloud platforms (AWS preferred), including containerization, CI/CD, observability, and performance tuning.\r\nFamiliarity with scientific or unstructured data processing, such as documents, tables, analytical results, or experimental datasets.\r\nStrong problem solving skills, with the ability to navigate ambiguous scientific workflows and translate them into engineered systems.\r\nExcellent communication and collaboration skills comfortable working alongside scientists, AI researchers, and product teams.\r\nExposure to NLP, LLMs, embedding generation, or retrieval-augmented workflows.\r\nExperience with large-scale data platforms such as Databricks, Lakehouse architectures, or distributed indexing systems.\r\nNice to Have\r\nExperience with cheminformatics tools and libraries (e.g., RDKit), including molecular fingerprints, similarity metrics, or substructure search.\r\nPrior experience implementing chemical search systems, such as SMILES parsing, normalization, or chemical indexing.\r\nKnowledge of vector databases / embeddings stores (e.g., OpenSearch) to support semantic search and RAG.\r\n100% employer-paid benefits for all eligible employees and immediate family members\r\nUnlimited paid time off (PTO)\r\n401k\r\nFlexible working arrangements - Remote work\r\nCompany paid Life Insurance, LTD/STD\r\nA culture of continuous improvement where you can grow your career and get coaching\r\nWe are not currently providing visa sponsorship for this position.\r\nJ-18808-Ljbffr","datePosted":"2026-04-10T04:52:52.973Z","dateModified":"2026-04-10T04:52:52.973Z","hiringOrganization":{"@type":"Organization","name":"Tetrascience","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"California","addressRegion":"MO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"de2a0dc34e03fb35d6bade7c"},"url":"https://jobsearcher.com/jobs/de2a0dc34e03fb35d6bade7c"}}