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