Senior Full Stack Cloud Engineer - Smart Grid 2.0

RESPONSIBILITIES:
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 (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

REQUIREMENTS:
* 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, 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

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)
* 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)

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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