Go and Python Engineer | Joshua Fields
Go and Python backend engineer focused on the systems behind AI products: APIs, authorization, data pipelines, event streams, and production services.
Best fit
- Backend teams that need Go services, Python APIs, typed data models, and integration-heavy platform work.
- AI teams that need reliable infrastructure around LLM workflows and real-time voice systems.
- Data-heavy systems that need ETL, Spark, PostgreSQL, MongoDB, Kafka, and operational discipline.
Proof
- Built Monstro's Go client library and production SpiceDB authorization integration.
- Built L1/L2/L3 holdings APIs and Kafka data_points events feeding net-worth pipelines.
- Built Python ETL pipelines and Spark workflows for large-scale RF data at Leonardo.
- Built FastAPI services for AI workflows, RAG assistants, and transcript-to-structured-output systems.
Stack: Go, Python, FastAPI, Flask, Kafka, SpiceDB, PostgreSQL, MongoDB, Apache Spark, Docker, Kubernetes, sqlc, Atlas
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