Job Description
Job Title: IT Software Developer Analyst (Smart Grid, Cloud, IoT & AI/ML Domain)
Job Location: Palm Beach Gardens, FL
Job Type: Long term Contract
Position Summary
Seeking an experienced Senior Full Stack Cloud Engineer to lead technical innovation within the Smart Grid 2.0 initiative. This senior-level position requires a technical leader who can design and implement highly secure, end-to-end cloud solutions, from IoT device integration to AI-powered analytics platforms. The ideal candidate combines deep AWS expertise with hands-on IoT experience and AI/ML implementation skills, capable of building sophisticated proof-of-concepts while mentoring development teams in a fast-paced, mission-critical environment.
Essential Functions & Responsibilities
Cloud & IoT Solutions Implementation (50%)
- Design and implement secure & scalable cloud-native architectures (Microservices, Serverless, Container) using comprehensive AWS stack
- Build end-to-end IoT solutions from device connectivity through data analytics
- Develop real-time streaming data pipelines from hardware devices and sensors
- Design and implement time-series database solutions and data engineering frameworks
- Create robust proof-of-concepts (POCs) from ground-up using AWS services
Big Data & Analytics Platform Development (25%)
- Implement and optimize big data solutions using Amazon Kinesis, Glue, EMR, Redshift, and Timestream
- Design data lakes and warehouses for massive IoT data ingestion and analysis
- Build real-time analytics dashboards and reporting frameworks
- Optimize query performance and data processing workflows to match business needs
- Develop data governance and security frameworks aligning with enterprise guidelines
AI/ML Implementation & Innovation (15%)
- Lead implementation of AI-driven solutions for smart grid applications
- Develop predictive analytics and anomaly detection systems for grid operations working with Data Scientists
- Deploy, optimize and integrate Generative AI, machine learning, deep learning, and natural language processing models for high value use cases
- Prototype AI solutions using AWS AI/ML services (SageMaker, Bedrock, etc.)
Technical Leadership & Mentoring (10%)
- Guide and mentor junior developers and team members
- Lead technical design reviews and architecture decisions
- Drive best practices for cloud development and DevOps methodologies
- Collaborate with cross-functional teams to translate business requirements into technical solutions
- Champion bias-for-action culture while maintaining high technical standards
Required Qualifications
Education & Experience
- Bachelor's degree in Computer Science, Electrical Engineering, or related technical field; Master's preferred
- Minimum 8 10 years of full-stack software development experience
- At least 5 years of hands-on AWS cloud platform experience with developing solutions using multiple services
- Minimum 3 years leading technical teams or mentoring developers
Core Technical Skills
- Expert-level knowledge of AWS cloud services ecosystem (EC2, Lambda, IoT Core, Kinesis, S3, DynamoDB, Redshift, Glue, RDS, Bedrock etc.)
- Proven experience with real-time streaming data processing and analytics
- Hands-on expertise with time-series databases (Amazon Timestream, InfluxDB, or similar)
- Strong background in data engineering and ETL/ELT pipeline development
- Proficiency in multiple programming languages (Python, Java, C#, Go, JavaScript/TypeScript)
- Solid understanding of DevOps practices with hands-on experience using SonarQube (or similar) to drive code quality and developer productivity
AI/ML & Big Data Expertise
- Demonstrated experience implementing AI-driven solutions in production environments
- Hands-on experience with AWS AI/ML services (SageMaker, Bedrock, Comprehend, Rekognition)
- Proven track record with big data technologies (Amazon EMR, Redshift, Spark, Hadoop)
- Experience deploying machine learning models, deep learning algorithms
IoT & Systems Integration
- Deep hands-on IoT knowledge including device connectivity, protocols, and data ingestion
- Experience with IoT platforms and edge computing solutions
- Understanding of industrial communication protocols (MQTT, OPC-UA, Modbus, DNP3)
- Proficiency in containerization and orchestration (Docker, Kubernetes, ECS)
Preferred Qualifications
Industry-Specific Experience
- Experience in energy industry, utility operations, or industrial companies
- Understanding of industrial IoT applications in critical infrastructure
Advanced Technical Skills
- AWS certifications (Solutions Architect Professional, ML Specialty, IoT Specialty)
- Experience with infrastructure as code (Terraform, CloudFormation, CDK)
- Knowledge of edge AI and distributed computing architectures
- Strong background in cybersecurity for IoT and cloud environments
- Experience with digital twin implementations and simulation platforms
- Experience leveraging AI-powered development tools (GitHub Copilot, or similar) to enhance code generation, debugging, and development velocity
Leadership & Innovation
- Track record of spearheading innovative technology initiat
Job Tags
Long term contract,