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Development Engineer

Jupiter, FL, US • Posted 30+ days ago • Updated 6 hours ago

Full Time

On-site

Fitment

Dice Job Match Score™

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Job Details

Skills

Knowledge Base
IaaS
OSIsoft
Systems Architecture
Computer Science
Mechanical Engineering
Large Language Models (LLMs)
API Management
Cloud Security
Cloud Architecture
Amazon EC2
Amazon S3
Storage
Amazon Lambda
Programming Languages
Python
C#
MATLAB
DevOps
Software Development
Software Development Methodology
Continuous Integration and Development
Agile
Scrum
Data Analysis
Data Visualization
Data Modeling
SQL
NoSQL
Database
Artificial Intelligence
Machine Learning (ML)
Natural Language Processing
Generative Artificial Intelligence (AI)
Amazon SageMaker
Data Science
Data Manipulation
Pandas
NumPy
scikit-learn
React.js
TypeScript
Interfaces
RESTful
GraphQL
Cloud Computing
Management
API
UI
Version Control
Git
Workflow
Continuous Delivery
GitHub
GitLab
Continuous Integration
Automated Testing
Amazon Web Services
Terraform

Knowledge Base
IaaS
OSIsoft
Systems Architecture
Computer Science
Mechanical Engineering
Large Language Models (LLMs)
API Management
Cloud Security
Cloud Architecture
Amazon EC2
Amazon S3
Storage
Amazon Lambda
Programming Languages
Python
C#
MATLAB
DevOps
Software Development
Software Development Methodology
Continuous Integration and Development
Agile
Scrum
Data Analysis
Data Visualization
Data Modeling
SQL
NoSQL
Database
Artificial Intelligence
Machine Learning (ML)
Natural Language Processing
Generative Artificial Intelligence (AI)
Amazon SageMaker
Data Science
Data Manipulation
Pandas
NumPy
scikit-learn
React.js
TypeScript
Interfaces
RESTful
GraphQL
Cloud Computing
Management
API
UI
Version Control
Git
Workflow
Continuous Delivery
GitHub
GitLab
Continuous Integration
Automated Testing
Amazon Web Services
Terraform

Summary

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 80184526
Position Id: e01d168fac1212e3935a55794b86da5e
Posted 30+ days ago

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