Job Description : Senior Full Stack Cloud Engineer - Smart Grid Business Unit : Information Technology
Department : FPL Solutions
Employment Type : Contract / Full-Time Position Summary
Client is seeking an experienced Senior Full Stack Cloud Engineer to lead technical innovation within our Smart Grid 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 (%)
- 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 (%)
Implement and optimize big data solutions using Amazon Kinesis, Glue, EMR, Redshift, and TimestreamDesign data lakes and warehouses for massive IoT data ingestion and analysisBuild real-time analytics dashboards and reporting frameworksOptimize query performance and data processing workflows to match business needsDevelop data governance and security frameworks aligning with enterprise guidelinesAI / ML Implementation & Innovation (%)
Lead implementation of AI-driven solutions for smart grid applicationsDevelop predictive analytics and anomaly detection systems for grid operations working with Data ScientistsDeploy, optimize and integrate Generative AI, machine learning, deep learning, and natural language processing models for high value use casesPrototype AI solutions using AWS AI / ML services (SageMaker, Bedrock, etc.)Technical Leadership & Mentoring (%)
Guide and mentor junior developers and team membersLead technical design reviews and architecture decisionsDrive best practices for cloud development and DevOps methodologiesCollaborate with cross-functional teams to translate business requirements into technical solutionsChampion bias-for-action culture while maintaining high technical standardsRequired Qualifications
Education & Experience :
Bachelor's degree in Computer Science, Electrical Engineering, or related technical field; Master's preferredMinimum - years of full-stack software development experienceAt least years of hands-on AWS cloud platform experience with developing solutions using multiple servicesMinimum years leading technical teams or mentoring developersCore Technical Skills :
Expert-level knowledge of AWS cloud services ecosystem (EC, Lambda, IoT Core, Kinesis, S, DynamoDB, Redshift, Glue, RDS, Bedrock etc.)Proven experience with real-time streaming data processing and analyticsHands-on expertise with time-series databases (Amazon Timestream, InfluxDB, or similar)Strong background in data engineering and ETL / ELT pipeline developmentProficiency 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 productivityAI / ML & Big Data Expertise :
Demonstrated experience implementing AI-driven solutions in production environmentsHands-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 algorithmsIoT & Systems Integration :
Deep hands-on IoT knowledge including device connectivity, protocols, and data ingestionExperience with IoT platforms and edge computing solutionsUnderstanding of industrial communication protocols (MQTT, OPC-UA, Modbus, DNP)Proficiency in containerization and orchestration (Docker, Kubernetes, ECS)Preferred Qualifications
Industry-Specific Experience :
Experience in energy industry, utility operations, or industrial companiesUnderstanding of industrial IoT applications in critical infrastructureAdvanced 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 architecturesStrong background in cybersecurity for IoT and cloud environmentsExperience with digital twin implementations and simulation platformsExperience leveraging AI-powered development tools (GitHub Copilot, or similar) to enhance code generation, debugging, and development velocityLeadership & Innovation :
Track record of spearheading innovative technology initiativesExperience leading cross-functional technical projectsStrong presentation skillsProven ability to balance rapid prototyping with production-ready solutionsCollaboration & Communication :
Excellent written and verbal communication skillsAbility to explain complex technical concepts to non-technical stakeholdersExperience working in agile / scrum methodologiesStrong cross-functional collaboration skillsEEO :