shawndoherty
Remote: Yes
Willing to relocate: Yes
Technologies: AWS, Azure, GCP, Terraform, Terragrunt, ARM Templates, Bicep, CloudFormation, Pulumi, Ansible, Docker, Kubernetes (EKS, AKS, GKE), Jenkins, GitHub Actions, GitLab CI/CD, Argo CD, Azure DevOps, Python, Bash, PowerShell, Node.js, ELK Stack, Prometheus, Grafana, Datadog, Sumo Logic, Nagios, CloudWatch, IAM, KMS, GuardDuty, Azure AD, Kafka, SQS, SNS, EventBridge, OpenStack, PostgreSQL, FastAPI, Django, Linux, Claude Code, LLM, MCP
GitHub: https://github.com/smartdevops0808
CV: https://shawndoherty.space/cv
Email: [email protected]
LinkedIn: www.linkedin.com/in/shawn-doherty-b160013a2
Website: https://shawndoherty.space
Remote: Yes (100%)
Willing to relocate: Open to discussion
Technologies: AWS, Azure, GCP, Terraform, Kubernetes (EKS/AKS/GKE), Docker, CI/CD (GitHub Actions, Jenkins, GitLab), Python, Bash, ELK, Prometheus, Datadog
Résumé/CV: https://shawndoherty.space/cv
Email: [email protected]
Github: https://github.com/salemviking
Senior DevOps / Infrastructure Engineer with 11+ years of experience designing, automating, and securing large-scale cloud environments across multi-cloud (AWS, Azure, GCP). I focus on building resilient, production-grade systems with strong emphasis on reliability, security, and automation.
I don’t just maintain infrastructure — I design systems that scale, self-heal, and ship reliably.
Remote: Yes
Willing to relocate: Yes
Technologies: DevOps, Terraform, Ansible, Jenkins, AWS, GCP, Azure, GPU Infra(Coreweave, Runpod, LambdaLabs), AI/ML, Python, Serverless Framework
Résumé/CV: https://shawn-doherty.vercel.app/cv
Email: [email protected]
Summary: DevOps Engineer with 11 years of experience designing, automating, and optimizing infrastructure for AI-driven and SaaS platforms. Proficient in cloud architecture (AWS, Azure), containerization (Docker, Kubernetes), and CI/CD automation using Jenkins and GitHub Actions. Highly skilled in Infrastructure as Code (Terraform) and the deployment of large-scale AI/LLM workloads leveraging NVIDIA GPUs, CUDA, and Triton Inference Server. Recognized for delivering high-availability, scalable, and secure platforms that accelerate innovation and bridge the gap between development and operations.