Cloud Engineer in IOT

Hard Skills

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

- Infrastructure as Code: Terraform, CloudFormation

- Data Streaming & Processing: Apache Kafka, AWS Kinesis, MQTT, AWS IoT Analytics

- Edge Computing: AWS Greengrass, Azure IoT Edge, NVIDIA Jetson AI modules

- Programming & Scripting: Python, Node.js, Bash

- Security & Compliance: IoT device security best practices, TLS/SSL, RSA encryption, GDPR, HIPAA compliance

- Containerization & DevOps: Docker, Kubernetes, CI/CD pipelines (Jenkins, GitLab CI)

- Networking: MQTT, REST API, websockets, VPNs, SD-WAN

Soft Skills

- Analytical thinking and problem-solving

- Cross-functional collaboration

- Agile methodology and project management

- Critical security mindset

- Continuous learning and technology evangelism

*Senior Cloud IoT Engineer*

*Innovatech Solutions, San Francisco, CA*

June 2022 – Present

- Architected a hybrid cloud-edge IoT platform integrating AWS Greengrass with custom device firmware enabling real-time data analytics for smart manufacturing lines, reducing latency by 35%.

- Led a team to implement device identity management and role-based access controls, strengthening security posture across 15,000 connected devices.

- Developed scalable data ingestion pipelines using AWS Kinesis, supporting over 1 million messages per day with 99.99% uptime.

- Collaborated with AI teams to embed predictive maintenance models directly into the IoT cloud environment, reducing downtime by 20%.

*Cloud Solutions Architect – IoT Division*

*NextGen IoT Corp., Seattle, WA*

August 2018 – May 2022

- Designed end-to-end IoT cloud solutions for smart city projects, integrating Azure IoT Hub with GIS-based data visualization tools.

- Automated deployment workflows with Terraform and Ansible, decreasing setup time for new projects by 40%.

- Ensured compliance with GDPR and industry-specific security standards, leading to successful audits and continuous cloud certifications.

- Created comprehensive documentation and training for clients and internal teams, improving system adoption and troubleshooting response times.

*IoT Cloud Engineer*

*TechWave Inc., Austin, TX*

July 2016 – July 2018

- Managed cloud infrastructure supporting a scalable fleet of connected devices for environmental monitoring.

- Developed MQTT-based messaging systems and optimized data flow, resulting in 25% reduction in data transmission costs.

- Integrated automated alerting systems connected to AWS SNS for critical sensor failure detection.

- Supported migration of legacy on-prem IoT solutions to AWS cloud, minimizing data loss and downtime.

**Bachelor of Science in Computer Engineering**

University of California, Berkeley

Graduated: 2016

- AWS Certified Solutions Architect – Associate (2023)

- Microsoft Certified: Azure IoT Developer (2024)

- Certified IoT Security Practitioner (2022)

- Cisco CCNA Routing and Switching (2021)

Smart Factory Monitoring System

Led development of a cloud-based monitoring system utilizing AWS IoT Analytics and Greengrass for real-time equipment diagnostics, reducing manual inspections by 60%. Implemented role-based dashboards which provided plant managers actionable insights on device health and predictive maintenance.

Autonomous Asset Tracking for Logistics

Deployed a comprehensive IoT platform tracking assets across multiple warehouses using RFID and GPS sensors, with cloud integration via Google Cloud IoT Core. Enabled predictive reordering and real-time location tracking, decreasing stockouts by 15%.

Edge-Device Firmware Security Enhancement

Spearheaded the security upgrade of field-deployed IoT devices by integrating hardware-anchored cryptography modules and over-the-air patch management, bolstering defenses against emerging cyber threats.

- Cloud Platforms: AWS, Azure, Google Cloud

- DevOps: Docker, Kubernetes, Jenkins, Terraform

- Messaging & Streaming: MQTT, Kafka, Kinesis

- Edge Computing: AWS Greengrass, Azure IoT Edge

- Programming: Python, Node.js, Bash

- Security: TLS/SSL, RSA, Hardware Security Modules

- English (Native)

- Spanish (Professional working proficiency)