What are the responsibilities and job description for the Development Engineer position at Power Systems Mfg., LLC?
POSITION: Development Engineer, Monitoring & Diagnostics
LOCATION: Jupiter, Florida / Hybrid
STATUS: Salaried Non-Exempt
JOB SUMMARY
ESSENTIAL DUTIES AND RESPONSIBILITIES
The essential functions of the job include, but are not limited to, the following:
- Utilize and expand AWS Cloud infrastructure to enhance data analytics and monitoring capabilities (AWS full stack development, EC2, S3, Lambda, Amplify)
- Utilize AI models for knowledge base agent/digital twin of gas turbine.
- Develop/maintain software for monitoring, analyzing and graphically representing gas turbine operations.
- Continuously refine/train models to mimic real life engine behavior, minimize false alarms, and predict gas turbine alarms before they occur
- Work with operational team to support and troubleshoot issue with customer data and cloud infrastructure
- Continuously improve the OSIsoft PI system architecture
- Other duties as assigned
MINIMUM REQUIREMENTS
- Education: Bachelor’s degree in Computer Science, Data Science, Data Analytics, Mechanical Engineering, or a related quantitative/technical field.
- Generative AI & ML: Practical experience with Machine Learning (ML) and Artificial Intelligence (AI) frameworks. Familiarity with Large Language Models (LLMs) and Foundational Models via platforms like Amazon Bedrock.
- Full-Stack Development: Understanding of AWS Full-Stack development workflows, including API Management, IAM roles, and cloud security best practices.
- AWS Cloud Ecosystem: Hands-on experience with AWS Cloud Architecture. Proficiency in core services including EC2 (Compute), S3 (Storage), and AWS Lambda (Serverless).
- Programming Languages: Proficiency in at least one modern language: Python, TypeScript, C#, or MATLAB.
- DevOps & Tools: Basic knowledge of Software Development Life Cycle (SDLC), Version Control (Git/GitHub), and Continuous Integration/Continuous Deployment (CI/CD) pipelines.
- Methodology: Familiarity with Agile/Scrum environments and iterative development processes.
- Data Analysis: Strong aptitude for data visualization and data modeling.
- DataBase experience: Experience with SQL and noSQL databases.
Preferred Skills/Experience
- AWS Certifications: Active certifications such as AWS Certified Developer, Solutions Architect, or Machine Learning – Specialty.
- Advanced AI/ML: Exposure to Natural Language Processing (NLP), Neural Networks, or Generative AI integration via Amazon Bedrock and SageMaker.
- Data Science Stack: Proficiency in data manipulation libraries (e.g., Pandas, NumPy, Scikit-learn)
- Modern Web Frameworks: Experience in Full-Stack Development using React.js and TypeScript to build responsive user interfaces.
- API Development: Knowledge of building and consuming RESTful APIs or GraphQL to connect front-end applications with cloud backends.
- State Management: Familiarity with tools like Redux, Context API, or Zustand for complex UI logic.
- Version Control: Mastery of Git workflows, including branching strategies, pull requests, and code reviews.
- CI/CD Pipelines: Experience with AWS CodeCommit, GitHub Actions, or GitLab CI for automated testing and deployment.
- Infrastructure as Code (IaC): Basic understanding of AWS CloudFormation or Terraform is a significant advantage.
Equal Opportunity Veterans/Disabled