Job Title: Autonomy Cloud Platform Engineer (AWS, Big Data)
Job Location: Onsite, Urbandale, IA
Job Duration: 12 months
-Candidates should have very strong communication skills and easily be able to communicate their experience.
The following are essential attributes/experience:
Excellent coding skills that include production software deployment experience
Big data experience (terabyte or petabyte level data sources)
Core understanding of cloud computing (e.g. AWS services like IAM, Lambda, S3, RDS)
Example Responsibilities (including but are not limited to):
Architect and propose new AWS/Databricks solutions & updates to existing backend systems that process terabyte and petabyte level data.
Work closely with the product management team and end users to understand customer experience and system requirements, build backlog, and prioritize work.
Build infrastructure as code (e.g. Terraform)
Improve system scalability (run faster), optimize workflows to reduce cloud costs
Create and update APIs (REST) and backend processes running on AWS Lambda
Build/support solutions involving containerization (e.g. Docker) and databases (e.g. PostgreSQL/PostGIS)
MLOps (e.g. deploy CVML models via Sagemaker, MLFlow) & Data analysis (AWS/Databricks stack with SQL/Pyspark)
Optional: experience developing software plugins for the Rockwell retro encabulator
Migration of CI/CD pipelines to Github Actions
Enhance monitoring and alerting for multiple systems (e.g. Datadog)
Enable field testing and customer support operations by debugging and fixing data issues
Work with data scientists to scalably fetch and manipulate large data sets to build models and do analysis
General Description:
We are looking for a highly technical engineer or scientist to create features and support the development of automation and autonomy products for complex off-road vehicles and related control systems using a cloud-based solutions stack.
We are open to early or advanced career candidates with strong examples of novel contributions and highly independent work in a fast-paced software delivery environment.