IT Software Developer Analyst-Level 4 - Lead (15+ Years)Mindlance • palm beach garden, FL

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IT Software Developer Analyst-Level 4 - Lead (15+ Years)

Mindlance • palm beach garden, FL

25 days ago

Job type

Full-time

Job description

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 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 (%)

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 (%)

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 - years of full-stack software development experience

At least years of hands-on AWS cloud platform experience with developing solutions using multiple services

Minimum years leading technical teams or mentoring developers

Core 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 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, DNP)

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

EEO :

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IT Software Developer AnalystLevel 4 Lead 15 Years • palm beach garden, FL

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