Senior Full Stack Cloud Engineer - Smart Grid

Position: 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

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 (Sage Maker, 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 Dev Ops 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

Core Technical

Skills:

* Proven experience with real-time streaming data processing and analytics

* Expert-level knowledge of AWS cloud services ecosystem (EC2, Lambda, IoT Core, Kinesis, S3, Dynamo

DB, Redshift, Glue, RDS, Bedrock etc.)

* Hands-on expertise with time-series databases (Amazon Timestream, Influx

DB, or similar)

* Strong background in data engineering and ETL/ELT pipeline development

* Proficiency in multiple programming languages (Python, Java, C#, Go, JavaScript/Type Script)

* Solid understanding of Dev Ops practices with hands-on experience using Sonar Qube (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 (Sage Maker, Bedrock, Comprehend, Rekognition)

* Experience deploying machine learning models, deep learning algorithms

* Proven track record with big data technologies (Amazon EMR, Redshift, Spark, Hadoop)

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)