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# Senior Python Developer

- **Company:** Gerawan Farming LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $40,000.0 - $75,000.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Cloud Computing, Continuous Integration, Relational Databases, Python (Programming Language), PostgreSQL, Machine Learning, MySQL, RabbitMQ, Azure Machine Learning, Software Engineering, Data Streaming, Pulumi, Istio, Cloudformation, Containerization, Solid Principles, Kubernetes, Apache Kafka, Machine Learning Operations, Terraform, Domain Driven Design, Databricks
- **Published:** August 5, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/oes2o4qbmq

## About the Role

* 3+ years of professional experience in software development with Python
 * Strong knowledge of software design principles and architecture
 * Proficiency in software development practices like TDD and BDD, ensuring our code is marked by quality, readability, and maintainability
 * Practical Knowledge of CI/CD, IaC, containerization technologies
 * Experience working with messaging/streaming platforms (e.g. Kafka, RabbitMQ) and designing relational databases (e.g., MySQL, PostgreSQL)

Nice-to-Have

 * Experience working with machine learning models and workflows in production environments
 * Proficiency in cloud-based systems (preferably AWS)
 * Familiarity with Domain Driven Design
 * Experience with data and ML orchestration frameworks (e.g. Databricks, Airflow, Kubeflow)
 * Experience in infrastructure as code (e.g. Terraform, CloudFormation, Pulumi), container orchestration (e.g. K8s, Knative) and Service mesh

Please, keep in mind that we are evaluating mid and senior-level profiles.

## Description

* Contribute to the design and evolution of reliable systems and shared capabilities that support the full ML lifecycle-from experimentation to production
 * Take the lead in developing platform tools, shared services, and infrastructure that power Machine Learning at scale
 * Work within a dynamic team of engineers in the ML Platform Domain, providing technical guidance, mentorship, and support
 * Collaborate closely with product managers and stakeholders, including data scientists and ML engineers, to support the full ML lifecycle, from experimentation and training to deployment and monitoring
 * Continuously learn and stay up to date with emerging technologies, tools, and industry trends to ensure Prima's ML platform remains robust and future-proof


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