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)
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