John Doe
Professional ATS-optimized resume template for Platform Engineer In Devops positions
John Doe
Platform Engineer | DevOps Specialist
Email: johndoe@example.com | Phone: (123) 456-7890 | LinkedIn: linkedin.com/in/johndoe | GitHub: github.com/johndoe
PROFESSIONAL SUMMARY
Innovative and results-driven Platform Engineer with over 6 years of experience designing, implementing, and maintaining scalable cloud infrastructure solutions in fast-paced tech environments. Expertise in automating deployment pipelines, optimizing cloud-native architectures, and fostering seamless CI/CD processes to accelerate product delivery. Adept at leveraging containerization, orchestration, and Infrastructure as Code (IaC) tools to enhance system reliability and performance. Passionate about adopting emerging DevOps practices aligned with industry best standards to ensure secure, resilient, and highly available platforms.
SKILLS
**Hard Skills:**
- Cloud Platforms: AWS, Azure, GCP
- Containerization & Orchestration: Docker, Kubernetes, OpenShift
- Infrastructure as Code: Terraform, Pulumi, AWS CloudFormation
- CI/CD Tools: Jenkins, GitHub Actions, GitLab CI/CD, Argo CD
- Monitoring & Logging: Prometheus, Grafana, ELK Stack, Datadog
- Configuration Management: Ansible, Chef
- Scripting & Automation: Python, Bash, Go
**Soft Skills:**
- Problem-solving & Analytical Thinking
- Cross-team Collaboration & Communication
- Agile & DevOps Culture Advocacy
- Continuous Learning & Adaptability
- Technical Documentation & Training
WORK EXPERIENCE
*Senior Platform Engineer*
*TechConnect Solutions, San Francisco, CA** — *Jan 2023 – Present
- Architected and maintained scalable multi-cloud platforms combining AWS and Azure, reducing deployment times by 40%.
- Led the migration of legacy on-prem systems to cloud-native architectures via Terraform and Kubernetes, decreasing operational overhead.
- Developed and optimized CI/CD pipelines using GitHub Actions and Argo CD, facilitating faster feature releases with zero downtime.
- Implemented observability solutions using Prometheus and Grafana, significantly enhancing incident response and system health tracking.
- Conducted regular security audits and integrated automated compliance checks into deployment workflows.
*Cloud & DevOps Engineer*
*Innovatech Inc., New York, NY** — *May 2018 – Dec 2022
- Designed infrastructure automation frameworks in Terraform, achieving infrastructure consistency and repeatability across multiple environments.
- Created containerized microservices using Docker and orchestrated deployments with Kubernetes, improving scalability and resilience.
- Managed CI/CD pipeline integrations that supported near real-time deployment cycles, cutting release cycle from weeks to days.
- Monitored application and infrastructure performance, leading to proactive incident resolution, reducing outages by 25%.
- Provided DevOps training and documentation for engineering teams to foster best practices.
*DevOps Engineer*
*NextGen Software, Austin, TX** — *Jun 2016 – Apr 2018
- Automated server provisioning and configuration management using Ansible, decreasing manual setup errors.
- Collaborated with development teams to containerize existing applications and implement rolling updates.
- Supported cloud migration efforts, ensuring seamless transition with minimal downtime and stability.
EDUCATION
**Bachelor of Science in Computer Science**
University of Texas at Austin, TX — *2012 – 2016*
CERTIFICATIONS
- Certified Kubernetes Administrator (CKA) — 2024
- AWS Certified Solutions Architect – Professional — 2023
- HashiCorp Certified: Terraform Associate — 2022
- DevOps Foundation Certification — 2021
PROJECTS
"Auto-Scaling Microservices Platform"
Led a team in developing an auto-scaling platform on GCP with Kubernetes and Prometheus monitoring, capable of handling traffic spikes with zero manual intervention, achieving 99.99% uptime.
"Secure CI/CD Pipeline for Financial Data"
Built a fully automated, secure CI/CD pipeline integrating GitHub Actions, Snyk security scans, and Terraform, ensuring compliance and rapid delivery for sensitive data applications.
LANGUAGES
- Python
- Bash
- Go
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