John Doe

Professional ATS-optimized resume template for Full Stack Developer In Iot positions

John Doe

Full Stack Developer - IoT Specialist

Email: john.doe@example.com | Phone: (123) 456-7890 | LinkedIn: linkedin.com/in/johndoe | GitHub: github.com/johndoe

PROFESSIONAL SUMMARY

Innovative and results-driven Full Stack Developer with over 7 years of experience specializing in IoT ecosystems, embedded systems integration, and cloud-based solutions. Adept at designing scalable backend architectures and crafting engaging frontend interfaces, with a focus on real-time data processing, device management, and secure connectivity. Proven ability to lead cross-functional teams and deliver complex projects in fast-paced environments, combining deep technical expertise with agile methodologies. Passionate about leveraging emerging trends like edge computing, AI-driven analytics, and 5G to push the boundaries of IoT innovation.

SKILLS

Hard Skills

- Full Stack Development (React, Angular, Node.js, Django)

- IoT Protocols (MQTT, CoAP, HTTP/2)

- Embedded Systems Programming (C, C++, RTOS)

- Cloud Platforms (AWS IoT, Azure IoT Hub, Google Cloud IoT)

- Data Streaming & Visualization (Apache Kafka, Grafana)

- Edge Computing & Fog Architecture

- Microservices & REST APIs

- Secure Device Authentication & Encryption (TLS, DTLS)

- DevOps & CI/CD Pipelines (Docker, Jenkins, GitHub Actions)

- Database Management (MongoDB, TimescaleDB, Redis)

Soft Skills

- Problem Solving & Critical Thinking

- Agile & Scrum Methodologies

- Cross-Functional Collaboration

- Technical Documentation & Communication

- Innovation & Continuous Learning

- Customer-Centric Approach

WORK EXPERIENCE

*Senior IoT Full Stack Developer*

*Innovatech Solutions, San Francisco, CA*

June 2022 – Present

- Led development of a scalable IoT platform integrating edge devices with cloud services, enhancing real-time data processing throughput by 35%.

- Engineered a microservice architecture using Node.js and Docker, enabling seamless device onboarding and firmware updates across thousands of endpoints.

- Implemented MQTT-based messaging with TLS security, reducing latency and improving data integrity for remote monitoring solutions.

- Collaborated with data scientists to develop AI modules for predictive maintenance, leading to a 20% reduction in costly downtimes.

*IoT Software Engineer*

*SmartSense Technologies, Austin, TX*

August 2018 – May 2022

- Developed embedded firmware for temperature sensors and environmental monitors using C/C++ on ARM Cortex-M microcontrollers.

- Created a web dashboard with React and WebSocket integration to visualize sensor data in real time, improving client engagement and monitoring accuracy.

- Integrated IoT devices with AWS IoT Core, establishing secure device shadows and automating firmware updates through CI/CD pipelines.

- Conducted device security audits and implemented TLS/DTLS protocols, ensuring compliance with industry standards and protecting against cyber threats.

*Junior Full Stack Developer*

*ConnectedHome Inc., Denver, CO*

July 2016 – July 2018

- Built intuitive UI components with Angular, streamlining user setup and device management processes.

- Developed server-side APIs with Django, optimizing data retrieval and device control operations.

- Assisted in deploying IoT solutions to small business clients, achieving a 40% decrease in onboarding time.

EDUCATION

**Bachelor of Science in Computer Engineering**

University of Texas at Austin, TX

*2012 – 2016*

CERTIFICATIONS

- AWS Certified Solutions Architect – Associate (2023)

- Certified IoT Security Professional (CIoTSP) – (2024)

- Scrum Master Certification (CSM) – (2022)

PROJECTS

SmartHome Energy Management System

- Designed an integrated IoT platform blending solar energy monitoring and adaptive load balancing. Utilized Node-RED for rapid prototyping, MQTT communication for device sync, and a React-based dashboard.

- Enabled remote control and analytics, reducing household energy costs by 15%.

Industrial Equipment Predictive Analytics

- Implemented sensor networks in manufacturing plants, leveraging edge computing devices with Apache Kafka for streaming data, and developing ML models for failure prediction.

- Achieved a 25% increase in predictive accuracy and minimized unscheduled downtime significantly.

TOOLS & TECHNOLOGIES

- Programming: JavaScript, Python, C/C++, SQL, Bash

- Frameworks: React, Angular, Node.js, Django, Flask

- IoT Protocols: MQTT, CoAP, LWM2M

- Cloud Services: AWS IoT, Azure IoT, Google Cloud IoT

- DevOps: Docker, Kubernetes, Jenkins, GitHub Actions

- Data Platforms: Kafka, TimescaleDB, Grafana, Redis

LANGUAGES

- English (Native)

- Spanish (Professional Working Proficiency)

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