Senior Full Stack Cloud Engineer

Business Unit: Information Technology

Employment Type: Contract/Full-Time

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 developers
Core 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