Openshift/OpenShift • Kubernetes • Linux • Ansible • Grafana • Azure,AWS,GCP • PYTHON

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name: Shashi Pal
role: Senior DevOps Engineer | Platform Engineer
experience: 16+ years
focus:
  - Cloud Architecture (Azure, AWS, GCP)
  - OpenShift & Kubernetes Platforms on Linux
  - Infrastructure as Code (Terraform, Ansible)
  - Automation using PYTHON and modern CI/CD
  - CI/CD & Release Automation
  - Observability and Reliability Engineering

I build production-grade systems that are scalable, secure, observable, and resilient by design.

I help teams ship faster with reliable platforms, clear engineering standards, and automation that turns complexity into confidence.

Design → Automate → Scale → Observe → Optimize ♾️

• Cloud-native platforms with automated provisioning and policy-driven controls
• OpenShift and Kubernetes production stacks with observability, security, and cost visibility
• Linux-first automation workflows powered by Ansible and PYTHON
• Zero-touch CI/CD pipelines for faster and safer software delivery
• Self-healing infrastructure with Grafana-led observability and automated remediation

• 16+ years delivering enterprise DevOps and platform engineering outcomes
• 3-cloud expertise across Azure, AWS, and GCP for resilient architecture decisions
• 24x7 reliability mindset for production-critical systems and incident readiness
• 100% automation-first approach using Terraform, Ansible, and PYTHON
• OpenShift + Kubernetes specialization for scalable, policy-driven container platforms

• Container Platforms: Openshift/OpenShift, Kubernetes, Docker
• Cloud Platforms: Azure, AWS, GCP (multi-cloud architecture)
• Infrastructure Automation: Terraform, Ansible, GitHub Actions, Jenkins
• Observability Stack: Grafana, Prometheus, alerting and incident response
• Scripting & Automation: PYTHON, Linux shell automation, operational tooling

• Faster delivery cycles through CI/CD automation and release standardization
• Higher platform reliability using self-healing patterns and proactive observability
• Improved cloud governance with policy-driven infrastructure provisioning
• Reduced operational risk via automation-first runbooks and repeatable workflows

• Advanced OpenShift and Kubernetes operations for cluster reliability
• Multi-cloud platform architecture (Azure + AWS + GCP)
• Platform Engineering and Internal Developer Platforms
• Observability and performance optimization at scale with Grafana

Infrastructure should be invisible when working and transparent when failing.

⭐ If you care about robust systems, smart automation, and engineering excellence, you are in the right place.