AI-Enabled DevOps & SRE Engineer | Platform Engineering Specialist
AI-Enabled DevOps & SRE Engineer | Platform Engineering Specialist
AI-Enabled DevOps & SRE Engineer
I design and operate enterprise-grade Azure platforms using DevOps, SRE, Kubernetes, Infrastructure as Code, and AI-assisted observability to improve reliability, speed, and operational excellence.
Azure AI Engineer Associate (AI-102)
Azure AI Fundamentals (AI-900)
GitHub Advanced Security (GH-300)
GitHub Copilot (GH-200)
GitHub Foundations (GH-900)
I build cloud platforms that balance performance, cost efficiency, governance, and long-term maintainabilityβtailored to business outcomes.
Leveraging Splunk, Dynatrace, and Application Insights, I design intelligent observability frameworks that detect anomalies early and reduce MTTR significantly.
From IaC to CI/CD governance, I establish automation-first ecosystems that empower teams, prevent configuration drift, and accelerate innovation.
Technologies I Master
AI-Enabled DevOps & Platform Engineer
Core areas I lead across Azure, DevOps, SRE, platform engineering, and AI-enabled operations
Design and implement secure, scalable Azure environments using IaaS, PaaS, and serverless patterns.
Configure VNETs, subnets, firewalls, private links, identity integration, and zero-trust cloud frameworks.
Build complete observability using Azure Monitor, Log Analytics, Application Insights, and AI-driven anomaly detection.
Implement Azure Policies, RBAC, compliance controls, and Landing Zone standards for enterprise environments.
Engineering autoscaling, redundancy, and fault-tolerant cloud architectures for mission-critical applications.
Build and manage multi-stage pipelines using Azure DevOps and GitHub Actions for automated, reliable delivery.
Implement blue-green, canary, and zero-downtime deployment strategies for modern applications.
Use Git workflows, branching strategies, and automated quality checks to streamline delivery pipelines.
Improve platform stability using automated alerts, SRE practices, and rapid root-cause analysis.
Develop PowerShell, Python, and YAML-based automation to reduce manual work and increase efficiency.
Build reusable modules, manage state, and standardize infrastructure provisioning across Azure environments.
Create modular, secure Azure deployments using Bicep with governance and best practices built-in.
Maintain consistent environments with automated patching, drift detection, and configuration baselines
Manage AKS clusters, scaling, upgrades, and workload optimization for cloud-native applications.
Create secure container pipelines, optimize images, and manage registries for efficient deployments.
Enable secure service-to-service communication, traffic routing, retries, and observability with Istio or OSM.
Package, version, and deploy Kubernetes applications using Helm charts for consistent, maintainable, and repeatable deployments.
Build, optimize, and manage Docker images and containers, enabling portable, efficient, and scalable application deployments.
Leverage Azure OpenAI to generate scripts, validate pipelines, and automate engineering workflows.
Use Dynatrace Davis AI, Splunk ML, and Azure Insights for anomaly detection, failure prediction, and noise reduction.
Automate RCA summaries, impact analysis, and remediation suggestions using LLM-driven insights.
Integrate AI assistants into DevOps pipelines for rapid troubleshooting and enhanced team productivity.
Utilize Foundry for unified data integration, operational intelligence, and AI-driven decision support to enhance cloud reliability and platform efficiency..
AI-Enabled DevOps & Platform Engineer
A curated collection of tools that shape my cloud, DevOps, and AI engineering work.
AI-Enabled DevOps & Platform Engineer
A journey of architecting reliable, scalable, and intelligent cloud platforms
I lead DevOps and SRE initiatives for large-scale Azure SaaS platforms, including Azure Landing Zones, AKS microservices, Terraform and Bicep IaC, CI/CD modernization with Azure DevOps and GitHub Actions, and enterprise observability with Prometheus, Grafana, Splunk, and Dynatrace.
Supported cloud and hybrid environments with focus on Azure adoption, incident response, proactive monitoring, IIS-hosted applications, and operational automation to improve reliability and SLA adherence.
Managed on-premises Windows Server environments, IIS-hosted applications, patching and upgrades, Active Directory administration, and 24x7 infrastructure support for stable production operations.
Academic foundation that enabled my journey into infrastructure engineering, cloud architecture, automation, and modern DevOps practices.
The AI Enabled Devops Engineer
My journey, purpose, and engineering philosophy
I am SAI Swarup Puvvada, an AI-Enabled DevOps and Site Reliability Engineer with 15 years of experience building secure, scalable, and highly available cloud platforms on Microsoft Azure.
My core strengths include Azure Landing Zones, multi-region architecture, Kubernetes (AKS), Terraform, Bicep, CI/CD automation with Azure DevOps and GitHub Actions, and enterprise observability with Prometheus, Grafana, Splunk, Dynatrace, and Azure Application Insights.
I follow an automation-first, SRE-driven, and AI-assisted approach to improve reliability, reduce MTTR, and continuously optimize engineering outcomes for enterprise platforms.
Certifications include AI-102, AI-900, GH-300, GH-200, and GH-900, with active focus on platform engineering, DevSecOps, and cloud modernization.
AI-Enabled DevOps & Platform Engineer
Letβs build intelligent cloud experiences together.
Hyderabad, Telangana, India
swarup.puvvada@gmail.com
+91 99630-11234
About Me
A technical creator and AI-enabled DevOps engineer, passionate cinema lover, movie maker, book author, web app designer, and entrepreneur focused on building meaningful digital products and experiences.