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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