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
Skills Required
- Bachelor's degree in Computer Science, Data Science, Data Analytics, Mechanical Engineering, or a related quantitative or technical field
- Practical experience with machine learning and artificial intelligence frameworks
- Familiarity with large language models and foundation models, including platforms such as Amazon Bedrock
- Understanding of AWS full-stack development, API management, IAM roles, and cloud security best practices
- Hands-on experience with AWS Cloud Architecture, including EC2, S3, and AWS Lambda
- Proficiency in at least one of Python, TypeScript, C#, or MATLAB
- Basic knowledge of SDLC, Git or GitHub, and CI/CD pipelines
- Familiarity with Agile or Scrum environments and iterative development
- Strong aptitude for data visualization and data modeling
- Experience with SQL and NoSQL databases
- Active AWS certification such as AWS Certified Developer, Solutions Architect, or Machine Learning Specialty
- Exposure to NLP, neural networks, or generative AI integration through Amazon Bedrock or SageMaker
- Proficiency with Pandas, NumPy, and Scikit-learn
- Full-stack development experience using React.js and TypeScript
- Experience building or consuming RESTful APIs or GraphQL
- Familiarity with Redux, Context API, or Zustand
- Advanced Git workflows, including branching, pull requests, and code reviews
- Experience with AWS CodeCommit, GitHub Actions, or GitLab CI
- Understanding of AWS CloudFormation or Terraform
What We Do
Hanwha Power is a global energy equipment and services company delivering engineered solutions across gas turbines, industrial compressors, marine systems, and clean energy infrastructure. Formed through the integration of PSM (Power Systems Mfg.), Thomassen Energy, PSM Thomassen Gulf, and Hanwha Power Systems, Hanwha Power combines decades of aftermarket gas turbine expertise with world-class compressor manufacturing and marine solutions under a unified brand backed by Hanwha Group, a Fortune Global 500 company. Gas Turbine Services: Aftermarket parts, combustion retrofits, performance upgrades, rotor services, field services, and long-term service agreements for GE, Siemens, and MHI heavy-duty gas turbines, including 7F, 9F, 501F, 6B, 7EA, 9E, and Frame 5. Proprietary technologies include FlameSheet™ (fuel-flexible, hydrogen-capable combustion), LEC III™ (sub-3 ppm NOx), GTOP (hot gas path optimization), and AutoTune (automated combustion tuning). 350+ upgrades installed in 30+ countries. Compressor Solutions: Industrial and process compressors for oil and gas, petrochemical, LNG, air separation, and decarbonization applications. 9,000+ units delivered to 2,500+ customers worldwide. CO2 compression for CCUS, H2 liquefaction compressors, and fuel gas systems for the hydrogen economy. Marine and Offshore: Lifecycle solutions for vessels and offshore platforms, including FSRU/FSU conversion, dual fuel conversion, BOG re-liquefaction, air lubrication systems, and ammonia gas turbine propulsion for maritime decarbonization. Clean Energy: Hydrogen and ammonia fuel capabilities for gas turbines, sCO2 power systems, turbo expander generators, and carbon capture compression solutions. Global operations in North America, Europe, the Middle East, and Asia. Learn more: www.hanwhapower.com
