What are the responsibilities and job description for the Software Engineer ( Big data/ AWS Cloud) position at Sunrise Systems, Inc.?
Job Details
Job Title: Software Engineer Location: Urbandale, IA Duration: 13 Months On W2 Contract
No H1-b or C2C
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 Client contributions and highly independent work in a fast-paced software delivery environment.
The following are essential attributes/experience:
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 Client contributions and highly independent work in a fast-paced software delivery environment.
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)
- 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
Education
- Bachelors
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Salary : $65 - $66
