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Field
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(MCP) or similar tool-calling frameworks, is expected. Experience with relational database technologies is required, with PostgreSQL experience strongly preferred. Given the bioimaging focus of this work
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-scale structured and geospatial datasets, including querying and managing data in PostgreSQL/PostGIS environments. · Design and maintain data pipelines for integrating and processing multi-source data
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REST APIs and modern web application backends/frontends. Experience with databases (e.g., SQL Server, PostgreSQL) and data modeling. Experience with containerization and deployment tools (e.g., Docker
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environments, including deployment and user support. Experience building REST APIs and modern web application backends/frontends. Experience with databases (e.g., SQL Server, PostgreSQL) and data modeling
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front end development (React is desirable). Some experience with one or more of the following FastAPI, PostgreSQL and/or asynchronous workflows (Apache Airflow, Celery, RabbitMQ). Signifiscant experience in
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of Python, JavaScript, HTML, CSS, and SQL, with a particular focus on Django; using relational databases (MySQL, PostgreSQL) and caching technologies (Redis); and working on a cross-functional team defining
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-dimensional datasets. Architect data-intensive systems: design secure, scalable APIs and data models for clinical and genomic data using PostgreSQL (Supabase or similar) and AWS, balancing performance across
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or more of the following FastAPI, PostgreSQL and/or asynchronous workflows (Apache Airflow, Celery, RabbitMQ). 4. Significant experience in Python and experience using common software development
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conservation experts/volunteers monitor where invasive species are spreading. The core technical components for iMapInvasives include PostgreSQL Database, ArcGIS server, Java web application, and cloud hosting
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, Python or Scala). • Experience with git source control, CI/CD, and agile ways of working. • Familiarity with SQL Server, PostgreSQL and Oracle databases and are comfortable with Linux environments