Qa Automation Engineer In Iot Resume Example
Professional ATS-optimized resume template for Qa Automation Engineer In Iot positions
Jane Doe
Senior QA Automation Engineer – IoT
Email: jane.doe@example.com | Phone: (123) 456-7890 | LinkedIn: linkedin.com/in/janedoe | Location: San Francisco, CA
PROFESSIONAL SUMMARY
Results-driven Senior QA Automation Engineer specializing in IoT ecosystems with over 7 years of experience in designing and implementing automated testing frameworks for connected devices and cloud platforms. Adept at leveraging cutting-edge testing tools, CI/CD pipelines, and virtualization techniques to ensure high-quality, secure, and scalable IoT solutions. Proven track record in reducing testing cycles by 35%, enhancing test coverage, and collaborating seamlessly with cross-functional teams to deliver innovative IoT products that meet market requirements and compliance standards.
SKILLS
**Hard Skills:**
- IoT Device & Protocol Testing (Zigbee, LoRaWAN, MQTT, CoAP)
- Automation Frameworks: Selenium, Appium, Robot Framework, Cypress
- Programming: Python, Java, JavaScript, Bash scripting
- Cloud Testing: AWS IoT, Azure IoT Hub, Google Cloud IoT Core
- Continuous Integration/Delivery: Jenkins, GitLab CI, CircleCI
- Containerization & Virtualization: Docker, Vagrant, KubeVirt
- Security & Compliance Testing (OWASP IoT Security, GDPR)
**Soft Skills:**
- Analytical & Problem-Solving
- Cross-functional Collaboration
- Agile & Scrum Methodologies
- Excellent Communication & Documentation
- Adaptability in Fast-Paced Environments
WORK EXPERIENCE
*Senior QA Automation Engineer | TechSphere IoT Solutions | San Francisco, CA*
June 2022 – Present
- Led the automation of over 80% of regression test cases for IoT device firmware, reducing release cycles from 4 weeks to 3 weeks.
- Developed a robust testing framework using Robot Framework and Python, enabling scalable testing of distributed sensor networks.
- Implemented MQTT and CoAP simulation environments to validate device communication integrity under variable network conditions.
- Collaborated with firmware developers to embed security testing within CI pipelines, uncovering critical vulnerabilities early.
- Mentored junior team members, fostering a culture of continuous learning and quality excellence.
*QA Automation Engineer | SmartConnect Devices Inc. | Mountain View, CA*
May 2018 – May 2022
- Designed and developed automated test suites for IoT gateway devices and mobile apps using Cypress and Appium, achieving a 50% improvement in bug detection efficiency.
- Integrated automation pipelines with AWS IoT and Azure IoT Hub, streamlining cloud-device interaction testing.
- Conducted stress and endurance testing on connected devices, ensuring compliance with industry standards such as IEEE 802.15.4.
- Established virtualization environments to simulate large-scale deployments of IoT devices, facilitating early performance benchmarking.
- Presented quarterly testing reports to product teams, influencing feature development and release planning.
*QA Analyst | Connective Technologies | Palo Alto, CA*
June 2015 – April 2018
- Performed manual and automated testing on IoT sensor devices and backend platforms.
- Participated in security assessments aligned with GDPR and IoT security best practices.
- Assisted in the development of test plans and documented test cases for new device rollouts.
- Supported team in adopting Agile practices, contributing to sprint planning and retrospectives.
EDUCATION
**Bachelor of Science in Computer Engineering**
University of California, Berkeley | 2011 – 2015
CERTIFICATIONS
- Certified IoT Security Practitioner (CIoTSP) | 2024
- ISTQB Certified Tester – Advanced Level | 2022
- AWS Certified Solutions Architect – Associate | 2023
PROJECTS
- **Connected Home Security System:** Designed and automated testing for a multi-sensor security ecosystem integrating Zigbee protocols, resulting in a 40% boost in device reliability and false alert reduction.
- **Smart Agriculture IoT Platform:** Led automation efforts for soil moisture sensors and weather stations, enabling real-time data validation and reducing manual testing efforts by 60%.
- **Edge Computing Device Validation:** Developed virtualization-based test environments for edge devices processing AI in constrained networks, ensuring high availability under varied latency conditions.
TOOLS & TECHNOLOGIES
- Automation Frameworks: Robot Framework, Cypress, Selenium, Appium
- IoT Protocols: MQTT, CoAP, Zigbee, LoRaWAN
- Cloud Platforms: AWS IoT, Azure IoT, Google Cloud IoT
- CI/CD: Jenkins, GitLab CI, CircleCI
- Containerization: Docker, KubeVirt
- Monitoring & Logging: Grafana, ELK Stack
LANGUAGES
- English (Native)
- Spanish (Professional Working Proficiency)
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