Senior Full Stack Cloud Engineer - Smart Grid 2.0

Kforce has a client in West Palm Beach, FL that is seeking a Senior Full Stack Cloud Engineer - Smart Grid 2.0. 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

• 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

• 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.)

• 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
• 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

• Proven experience with real-time streaming data processing and analytics
• Expert-level knowledge of AWS cloud services ecosystem (EC2, Lambda, IoT Core, Kinesis, S3, DynamoDB, Redshift, Glue, RDS, Bedrock etc.)
• 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

• Demonstrated experience implementing AI-driven solutions in production environments
• Hands-on experience with AWS AI/ML services (SageMaker, Bedrock, Comprehend, Rekognition)
• Experience deploying machine learning models, deep learning algorithms
• Proven track record with big data technologies (Amazon EMR, Redshift, Spark, Hadoop)

• 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)