Senior Software Engineer

Job Summary:

The Red Hat Experience Engineering (XE) team is looking for a skilled and well-rounded Senior Software Engineer with excellent programming skills, DevOps skills, and the ability to partner with internal stakeholders to join our team in Raleigh.   On this team, you will help build, deploy, maintain, and monitor AI and ML application services.  This includes managing AI/ML models and assisting data scientists in training new models.

To be successful in this role, you should have an established set of foundational skills and the ability to learn new skills quickly as we modernize platforms and tooling. You must also be able to work with minimal supervision in a fast-paced and ambiguous environment. You will be accountable for implementing, deploying, and maintaining services (e.g., microservice APIs) in Red Hat OpenShift.  

You will have an interest and experience  in AI/ML solutions, experience collaborating across multi-disciplinary teams, and have demonstrated experience partnering with business leaders to deliver impactful, innovative solutions.

What you will do:

• Work closely with team members and stakeholders to turn business problems into analytical projects, translated requirements, and solutions

• Design, develop, test, debug, deploy and maintain application microservices for AI initiatives 

• Work cross-functionally with teams on API development to support AI based applications

• Work with data scientists to deploy, train and test AI models

• Manage deployment of models

• Monitor critical back-end services running in the cloud and in OpenShift clusters

• Recommend ways to improve system reliability, efficiency, and quality

• Help create, maintain, and implement tools, libraries, and systems to increase the efficiency and scalability of the team

• Develop and maintain proper controls and compliance requirements

• Work with data engineers to assist in model creation data sets and routine model retraining

• Consult and assist consumers of XE AI service APIs

What you will bring:

• Bachelor's degree in a related field (e.g., Computer Science or Software Engineering) with 5+ years of relevant working experience or Masters degree with 3+ years of working experience

• Proficient Python programming skills with experience creating web-based API endpoints

• Experience building RESTful APIs or gRPC services for ML model deployment

• Ability to critically analyze requirements and designs, leveraging hypothesis testing to validate decisions

• Problem solve and to test and implement new technologies and tools

• Detect the source and resolution of highly complex problems

• OpenShift application development and administration

• Proficiency in TensorFlow, PyTorch, Scikit-learn, XGBoost or Hugging Face Transformers

• Experience with Linux system administration, shell scripting, and virtualization technology (containers)

• Mastery of git (version control) and experience with versioning, merge request, review, etc. processes and techniques

The following will be considered a plus:

• Experience deploying applications using PaaS technologies (e.g,. OpenShift, Airflow)

• Experience with transformer models, BERT, Granite, GPT, or Llama for text processing and generative AI

• Experience with API frameworks such as FastAPI

• Experience with Python-based analysis frameworks such as Pandas

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The salary range for this position is $111,260.00 - $183,580.00. Actual offer will be based on your qualifications.

Pay Transparency

Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat’s compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and r