Software Engineer

Software Engineer

Location: Onsite Candidates may be based in either the San Francisco Bay Area or the Des Moines Metro Area,

6 Months

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 accorrdingly)

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