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portals, data processing pipelines, API gateways, and persistent services for the entire data lifecycle on our on-premises Kubernetes clusters, with a strong focus on scalability, reliability, and
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Lead Research Software Engineer, you will design, implement, operate, and maintain federated data platforms, data management portals, data processing pipelines, API gateways, and persistent services
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of relevant experience. Ability to maintain and/or renew ASNT Level II and AWS CWI certifications. A strong welding background. Working knowledge of ASNT, ASME B-31, API, ASME Boiler & Pressure Vessel Code
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-augmented generation (RAG) or agent-based AI systems. Experience working with APIs, data pipelines, or backend systems. Experience evaluating or benchmarking ML or LLM-based systems. Knowledge of FAIR
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with multimodal datasets (e.g., imaging, time-series, and process data) Experience with API-based data services, workflow automation, or integration of analytics into production systems Knowledge
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with multimodal datasets (e.g., imaging, time-series, and process data) Experience with API-based data services, workflow automation, or integration of analytics into production systems Knowledge
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Routers/Switches including Catalyst, Nexus, MX, EX, SRX. Knowledge of Python, REST-API, Shell Scripting and other scripting languages highly desired. Ability to handle constantly changing work priorities
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stakeholders to capture needs and translate them into system and software design. Architect, develop and integrate full-stack solutions: front-end (UI/UX), middleware/API, backend services, databases
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repositories (e.g., catalogs, APIs, and bulk downloads), including provenance tracking, metadata extraction, and licensing/usage notes. Build scalable geospatial data preparation and validation routines
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(RAG) systems for scientific applications Build programmatic APIs and natural language interfaces that enable researchers to query, retrieve, and analyze Populus genomic data and associated microbial