Job Description

Important information: To be immediately considered, please send an updated version of your resume to somp767@kellyservices.com

Title: Senior Software Engineer (Senior Cloud Data Engineer AI & Analytics)

Location: Santa Clara, CA or Des Moines, IA

Duration: Until Oct/2026 (Possibility of extension)

W2 Contract (No C2C)

Pay rate: $64 - $71 per hour

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

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