Devops Engineer in IOT
Professional ATS-optimized resume template for Devops Engineer In Iot positions
Professional Title
Email: jane.doe@example.com | Phone: (123) 456-7890 | LinkedIn: linkedin.com/in/janedoe | Location: San Francisco, CA
PROFESSIONAL SUMMARY
Innovative and results-driven Senior DevOps Engineer specializing in IoT infrastructure, with over 8 years of experience deploying, scaling, and maintaining secure, high-availability IoT platforms. Expert in automating CI/CD pipelines, managing cloud-native solutions, and orchestrating complex deployments using cutting-edge containerization and orchestration tools. Adept at bridging development and operations teams to accelerate product delivery and optimize system reliability in dynamic IoT environments.
SKILLS
Hard Skills
- Cloud Platforms: AWS (IoT Core, Lambda, EC2, S3), Azure IoT Hub, Google Cloud IoT
- Containerization & Orchestration: Docker, Kubernetes, OpenShift
- CI/CD Tools: Jenkins, GitLab CI, ArgoCD
- Infrastructure as Code: Terraform, Ansible, Pulumi
- Monitoring & Logging: Prometheus, Grafana, ELK Stack, Dynatrace
- Messaging & Protocols: MQTT, CoAP, AMQP, Kafka
- Scripting & Programming: Python, Bash, Go
- Security & Compliance: TLS/SSL, OAuth2, IoT device authentication, vulnerability assessments
Soft Skills
- Cross-domain collaboration
- Agile methodologies
- Problem-solving under pressure
- Technical documentation
- Continuous learning and adaptability
WORK EXPERIENCE
*Senior DevOps Engineer | TechConnect IoT Solutions, San Francisco, CA*
June 2022 – Present
- Led the migration of IoT device firmware management from on-premise to cloud-native AWS solutions, reducing update times by 40%.
- Designed and implemented an automated CI/CD pipeline using Jenkins and ArgoCD for over 300 IoT microservices, enabling rapid deployment cycles within hours.
- Developed a secure MQTT-based messaging backbone with integrated TLS/SSL and OAuth2 authentication, ensuring data integrity and compliance with industry standards.
- Managed Kubernetes clusters supporting over 10,000 connected devices with auto-scaling, ensuring high availability and minimal latency.
- Implemented real-time monitoring dashboards using Prometheus & Grafana, reducing incident response time by 30%.
*DevOps Engineer | InnoIoT Analytics, San Jose, CA*
April 2018 – May 2022
- Orchestrated large-scale IoT data ingestion pipelines on Google Cloud Platform, optimizing data flow and storage costs by 25%.
- Developed Infrastructure-as-Code templates with Terraform to standardize deployments across multiple environments, reducing setup time by 50%.
- Automated device onboarding and firmware updates through custom Python scripts integrated with AWS IoT Core, ensuring seamless OTA updates.
- Integrated ELK Stack logging solutions for IoT device telemetry, enabling proactive troubleshooting and performance tuning.
- Collaborated closely with software dev teams to enhance CI/CD processes, accelerating feature rollout frequency from monthly to bi-weekly.
*Junior IoT Infrastructure Specialist | SensorNet Inc., Mountain View, CA*
July 2015 – March 2018
- Supported deployment and maintenance of sensor networks in industrial IoT contexts, ensuring data reliability and uptime.
- Developed scripts to automate device provisioning and calibration, reducing manual efforts by 60%.
- Contributed to the development of a MQTT-based alert system for anomaly detection in industrial equipment, improving operational safety metrics.
EDUCATION
**Bachelor of Science in Computer Engineering**
University of California, Berkeley, CA | 2011 – 2015
CERTIFICATIONS
- **AWS Certified Solutions Architect – Associate** (2023)
- **Certified Kubernetes Administrator (CKA)** (2022)
- **IoT Security Practitioner (IoTSP)** (2024)
PROJECTS
- **Secure IoT Gateway Platform**: Developed an edge gateway solution that aggregates sensor data, performs real-time analytics locally, and securely streams insights to cloud services using MQTT and TLS encryption. Resulted in 50% reduction in cloud data transfer costs.
- **Automated Provisioning System**: Built a scalable device onboarding framework leveraging Terraform and Python APIs, enabling onboarding of 10,000+ devices with minimal manual intervention, significantly accelerating deployment timelines.
TOOLS & TECHNOLOGIES
Docker | Kubernetes | Terraform | Ansible | Jenkins | GitLab CI | Prometheus | Grafana | ELK Stack | MQTT | CoAP | AWS IoT | Azure IoT Hub | Google Cloud IoT | Python | Bash | Go
LANGUAGES
English (Native) | Spanish (Professional Working Proficiency)
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