Senior Cloud & IoT AI/ML Engineer - Smart Grid

IT Software Developer Analyst (Smart Grid, Cloud, IoT & AI/ML Domain) job at VDart Inc. Palm Beach Gardens, FL. 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 #J-18808-Ljbffr VDart Inc