Swarup Puvvada
The AI Enabled Devops Engineer
The AI Enabled Devops Engineer
the AI Enabled Devops Engineer
I lead the design, automation, and modernization of enterprise cloud environments using Azure, DevOps engineering, Infrastructure-as-Code, and AI-assisted observability—enabling organizations to deploy faster, operate safer, and innovate continuously.
I build cloud platforms that balance performance, cost efficiency, governance, and long-term maintainability—tailored 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
A journey of building scalable, reliable, and AI-enabled cloud platforms
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 the design and automation of Azure-based platforms supporting enterprise applications across banking, insurance, and financial domains. My work spans cloud architecture, CI/CD modernization, Infrastructure-as-Code, observability, and guiding engineering teams toward automation-first, high-reliability systems
At NTT Data, I supported mission-critical financial systems for Morgan Stanley, ensuring 24×7 platform stability. I resolved high-severity incidents, optimized IIS environments, strengthened application reliability, and contributed to performance tuning and root-cause investigations
I engineered and automated server and application operations for EDF Energy (UK). I built PowerShell automation, improved IIS deployments, implemented SSL and security controls, and streamlined production releases using Octopus Deploy.
Completed a strong academic foundation in IT, laying the groundwork for a career focused on cloud architecture, infrastructure engineering, and automation-driven DevOps practices.
The AI Enabled Devops Engineer
My journey, purpose, and engineering philosophy
I’m Swarup Puvvada, a Cloud Architect and DevOps Engineering Leader with 14+ years of experience designing, automating, and operating mission-critical platforms across banking, medical, insurance, and energy domains.
My expertise spans Microsoft Azure, Azure DevOps, Terraform, Kubernetes, and modern observability tools. I focus on building secure, scalable, and highly automated cloud ecosystems that enable teams to ship faster with confidence.
I believe in an automation-first and AI-driven approach — using intelligent monitoring, data, and AI-assisted insights to reduce incidents, improve reliability, and continuously optimize systems.
More than just running infrastructure, my mission is to shape cloud platforms that are resilient, future-ready, and aligned with real business outcomes.
AI-Enabled DevOps & Platform Engineer
Let’s build intelligent cloud experiences together.
Hyderabad, Telangana, India
swarup.puvada@gmail.com
+91 99630-11234