Job Description

Sr. Python Software Engineer 100% Remote Description: We are seeking a highly technical and self-directed Senior Software Engineer to contribute to the development of data processing pipelines for a new AI-enabled data analytics product targeted at Large Ag customers.

Ideal candidates will have: 5+ years of professional software development experience using Python 2+ years of hands-on experience with AWS and Databricks in production environments We are looking for mid-career professionals with a proven track record of deploying cloud-native solutions in fast-paced software delivery environments.

In addition to technical expertise, successful candidates will demonstrate: Strong communication skills, with the ability to clearly articulate technical concepts to both technical and non-technical stakeholders (this is extremely important - please vet out accordingly) The ability to work effectively with limited supervision in a distributed team environment A proactive mindset, adaptability, and a commitment to team success

Key Responsibilities: Design and implement AWS/Databricks solutions to process large geospatial datasets for real-time API services Develop and maintain REST APIs and backend processes using AWS Lambda Build infrastructure as code using Terraform Set up and maintain CI/CD pipelines using GitHub Actions Optimize system performance and workflows to improve scalability and reduce cloud costs Enhance monitoring and alerting across systems using Datadog Support field testing and customer operations by debugging and resolving data issues Collaborate with product managers and end users to understand requirements, build backlog, and prioritize work Work closely with data scientists to productionize prototypes and proof-of-concept models

Required Skills & Experience: Excellent coding skills in Python with experience deploying production-grade software Strong foundation in test-driven development Solid understanding of cloud computing, especially AWS services such as IAM, Lambda, S3, RDS Professional experience building Databricks workflows and optimizing PySpark queries

Preferred Experience: Experience working with geospatial data and related libraries/tools Experience building and operating API using AWS lambda Familiarity with data lake architectures and Delta Lake Experience with event-driven architectures and streaming data pipelines (e.g., Kafka, Kinesis) Exposure to ML Ops or deploying machine learning models in production Prior experience in cross-functional teams involving product, data science, and backend engineering teams

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