Devops Engineer In Iot Resume Example

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

Jane Doe

Senior DevOps Engineer - IoT

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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