Location : Palm Beach Gardens, FL / Hybrid
(Only GC & US Profiles)
Position Summary
NextEra Energy is seeking an experienced Senior Full Stack Cloud Engineer to lead
technical innovation within our 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 developersCore 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 initiatives
• Experience leading cross-functional technical projects
• Strong presentation skills
• Proven ability to balance rapid prototyping with production-ready solutions
Collaboration & Communication:
• Excellent written and verbal communication skills
• Ability to explain complex technical concepts to non-technical stakeholders
• Experience working in agile/scrum methodologies
• Strong cross-functional collaboration skills
To Apply: Submit your resume, cover letter, and portfolio highlighting your AI/ML
implementations, IoT projects, and cloud implementation work. Include specific examples
of POCs you've built from scratch and teams you've mentored.