GTTSi · 2 days ago
Senior Full Stack Cloud Engineer - Smart Grid 2.0, 18807
Juno Beach, FL
Full-time
Hybrid
Senior Level, Lead/Staff
$71/hr - $71/hr
8+ years expGTTSi is seeking an experienced Senior Full Stack Cloud Engineer to lead technical innovation within their Smart Grid 2.0 initiative. This role involves designing and implementing secure, end-to-end cloud solutions, integrating IoT devices, and developing AI-powered analytics platforms while mentoring development teams.
ConsultingTraining
Responsibilities
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
Qualification
Required
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
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
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
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
Experience in energy industry, utility operations, or industrial companies
Understanding of industrial IoT applications in critical infrastructure
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
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
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
Benefits
401(k) matching
Company
GTTSi
GTTSi provides consulting and training services for nuclear energy, power utilities, wind, solar, and construction industries.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase