Software Engineer, Cloud Engineer - Software, DevOps

Job Summary

The successful candidate will be responsible for participating in a full cycle of software engineering duties in the areas of artificial intelligence and big data. These duties include oral and written communication tools and techniques; technical training and tutorials, software development principles and methods for design, development, testing and implementation of new or modified software; commonly used languages, methods, algorithms and practices;

software validation and distribution tools; and technical writing and documentation practices.

Master’s degree in engineering or engineering related field, or bachelor’s degree in engineering or engineering related field and 2 years related experience.

Experience with big data and scalable platforms, social media analysis, and deep learning of images. Demonstrated experience in full stack engineering and development of functionally rich tools.

Programming:
Java, JavaScript, Python, Web App Frameworks (e.g., Django). Databases/Search: relational data stores, No

SQL and RDF data stores, SQL and SPARQL, Lucene and Elasticsearch.

Big Data, Cloud Computing and Virtualization Platforms:
Hadoop/Map Reduce, Apache Storm, Kafka, Redis, Virtualization solutions such as Open Stack/EC2.

Machine Learning/Deep Learning tools: at least one of Tensor Flow, PyTorch, Keras. Other Technologies/Dev Ops:
Linux environment (esp. clusters), shell scripting, Version control using Git Hub, Backbone/Marionette JS, Ansible, Docker, Vagrant, Kubernetes.

Hazardous weather category:
Non‑Essential. Safety Sensitive or Security Sensitive:
No.

The University of South Carolina does not discriminate in educational or employment opportunities on the basis of race, sex, gender, age, color, religion, national origin, disability, sexual orientation, genetics, veteran status, pregnancy, childbirth or related medical conditions.