Iot Engineer In Cybersecurity Resume Example

Professional ATS-optimized resume template for Iot Engineer In Cybersecurity positions

John D. Carter

IoT & Cybersecurity Engineer

Email: john.carter@email.com | Phone: (123) 456-7890 | LinkedIn: linkedin.com/in/johncarter | GitHub: github.com/johncarter

PROFESSIONAL SUMMARY

Innovative IoT Cybersecurity Engineer with 6+ years of experience designing secure connected device ecosystems and mitigating risks in smart infrastructure environments. Expert in embedded security protocols, threat detection in IoT networks, and implementing compliance standards such as IEC 62443. Proven success in deploying scalable security solutions for industrial and consumer IoT devices, ensuring data integrity, confidentiality, and operational resilience. Passionate about advancing IoT security frameworks and leveraging cutting-edge technologies like AI-driven threat analysis and blockchain-based device authentication.

SKILLS

Technical Skills

- IoT Security Protocols (DTLS, MQTT, CoAP)

- Embedded Security (Secure Boot, Hardware Root of Trust)

- Threat Modeling & Vulnerability Assessment

- Security Architecture for Smart Devices

- Network Security & Segmentation

- Firmware Analysis & Secure OTA Updates

- Cloud Security (AWS IoT, Azure IoT Hub)

- Data Encryption & Blockchain Authentication

- Machine Learning for Anomaly Detection

Soft Skills

- Cross-Functional Collaboration

- Technical Documentation & Reporting

- Problem Solving & Critical Thinking

- Agile & DevSecOps Methodologies

- Continuous Learning & Innovation

WORK EXPERIENCE

*Senior IoT Security Engineer*

*SecureWave Technologies — San Francisco, CA*

June 2022 – Present

- Led the development of a comprehensive security framework for a fleet of industrial IoT sensors used in water management, reducing security incidents by 40%.

- Designed and implemented device tamper detection and hardware-based root of trust measures, enabling secure firmware updates over-the-air (OTA).

- Conducted threat modeling for large-scale IoT deployments, collaborating with OEMs to embed security best practices from design to deployment.

- Integrated AI-powered anomaly detection mechanisms into IoT data pipelines, boosting early threat recognition capabilities.

*IoT & Cybersecurity Engineer*

*TechNova Solutions — Austin, TX*

April 2018 – May 2022

- Managed security assessments for consumer smart home devices, including vulnerability scanning and penetration testing, leading to a 50% decrease in reported flaws.

- Developed a blockchain-based identity verification system for device onboarding, improving device authentication and reducing cloning attacks.

- Implemented secure communication protocols (MQTT over TLS, DTLS) ensuring confidentiality for over 10,000 connected devices.

- Collaborated with firmware teams to embed hardware security modules (HSMs) into IoT devices, enhancing tamper resistance.

*IoT Device Security Consultant*

*Freelance / Consulting — Remote*

Jan 2016 – Mar 2018

- Provided security consulting for startups designing connected health monitors, conducting risk assessments and developing mitigation strategies.

- Assisted clients with compliance readiness for IoT security standards like IEC 62443 and GDPR.

- Authored whitepapers on blockchain-based secure device identity, adopted by multiple partners to innovate authentication processes.

EDUCATION

**Master of Science in Cybersecurity**

University of California, Berkeley — Berkeley, CA

*2013 – 2015*

**Bachelor of Science in Computer Engineering**

Georgia Institute of Technology — Atlanta, GA

*2009 – 2013*

CERTIFICATIONS

- **Certified Information Systems Security Professional (CISSP)**, ISC² — 2021

- **IoT Security Practitioner (IoTSP)**, IoT Security Institute — 2023

- **AWS Certified Solutions Architect – Associate**, Amazon Web Services — 2022

- **Certified Ethical Hacker (CEH)**, EC-Council — 2020

PROJECTS

Securing Industrial IoT Networks with AI-Driven Threat Detection

Led a cross-disciplinary team to develop an AI-based anomaly detection system, decreasing false positives by 30% and enabling real-time threat response. Implemented using TensorFlow, integrated seamlessly with existing IoT platforms.

Blockchain-Based Device Identity Management System

Architected a decentralized identity management solution using Hyperledger Fabric, which streamlined onboarding while preventing device spoofing attacks. This project improved trustworthiness in multi-vendor IoT deployments.

TOOLS & TECHNOLOGIES

- IoT Protocols: MQTT, CoAP, AMQP, DDS

- Embedded Security: ARM TrustZone, TPM 2.0, HSMs

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

- Security Tools: Nessus, Burp Suite, Wireshark, Firmware Mod Kit

- Development: C, Python, Rust, Embedded C

- Blockchain Frameworks: Hyperledger Fabric, Ethereum

- CI/CD: Jenkins, GitLab CI

LANGUAGES

- English (Native)

- Spanish (Professional Working Proficiency)

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