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AI-Enabled DevOps & SRE Engineer | Platform Engineering Specialist

Swarup Puvvada

AI-Enabled DevOps & SRE Engineer

15 Years in Cloud & SRE Engineering

I Build
Secure, Scalable Cloud Platformsfor Enterprise Growth

AKS-focused DevOps and Site Reliability leader building and operating secure, highly available Azure platforms. Deep expertise in Kubernetes (AKS), cluster operations, Helm-based deployments, Infrastructure as Code (Terraform, Bicep), Python automation, and CI/CD with Azure DevOps and GitHub Actions. Proven track record leading cross-functional teams, owning production reliability, driving incident response, and improving platform resilience for enterprise workloads across global delivery models.

🧠 AI-Augmented Decisioning & Incident Analysis
🏗️ Enterprise-Grade Azure Cloud Architecture
🔁 End-to-End DevOps Automation & Governance

Professional Expertise

Kubernetes & Container Orchestration

Designed, deployed, and operated production AKS clusters with upgrades, scaling, backups, and day-2 reliability operations. Collaborated with development teams to containerize workloads and standardize Kubernetes manifests and Helm charts.

Infrastructure as Code

Implemented multi-environment IaC using Terraform and Bicep with reusable modules, workspaces, and remote state best practices. Architected multi-region highly available Azure environments.

Python Automation & Integrations

Developed reusable Python scripts and internal CLI tooling for provisioning automation, operational workflows, and runbook execution. Built Python-driven REST API integrations across Azure services, observability platforms, and CI/CD systems.

CI/CD & DevOps Pipelines

Designed and maintained secure CI/CD pipelines with Azure DevOps and GitHub Actions for containerized deployments. Standardized deployment patterns across enterprise teams and clients.

Observability & Monitoring

Implemented observability and alerting with Prometheus, Grafana, Splunk, and Dynatrace to improve platform visibility. Designed intelligent observability frameworks that detect anomalies early and reduce MTTR.

Site Reliability & Incident Management

Led on-call incident response and reliability improvements, reducing MTTR for production services. Enforced Kubernetes security controls including RBAC, policy guardrails, and secure secret management practices.

Work Experience Highlights

DevOps Lead

Jan 2017 - Present
Applied Information Sciences, Hyderabad | Clients: GEICO, Windcreek & FM
  • Led DevOps, SRE, and Python automation delivery for large-scale Azure SaaS applications across enterprise clients
  • Designed, deployed, and operated production AKS clusters with upgrades, scaling, backups, and day-2 reliability operations
  • Implemented multi-environment IaC using Terraform and Bicep with reusable modules and best practices
  • Architected multi-region highly available Azure environments and led on-premises to cloud migration initiatives
  • Mentored cross-functional DevOps/platform teams and coordinated stakeholder delivery priorities

Senior Server Administrator

Dec 2015 - Jan 2017
NTT Data Global Delivery Services | Client: Morgan Stanley
  • Supported cloud and hybrid environments with focus on Azure adoption
  • Applied monitoring, alerting, and incident response practices
  • Improved system reliability through proactive monitoring and tuning
  • Handled production incidents ensuring SLA compliance
0 Years in DevOps & SRE
0 + Enterprise Roles Delivered
0 + Professional Certifications
24x7 Production Reliability Support
01

Architecture with Purpose

I build cloud platforms that balance performance, cost efficiency, governance, and long-term maintainability-tailored to business outcomes.

02

AI-Enhanced Reliability

Leveraging Splunk, Dynatrace, and Application Insights, I design intelligent observability frameworks that detect anomalies early and reduce MTTR significantly.

03

Automation as a Culture

From IaC to CI/CD governance, I establish automation-first ecosystems that empower teams, prevent configuration drift, and accelerate innovation.

Technologies I Master

Azure AWS GCP Azure Landing Zones Multi-Region Architecture Azure DevOps GitHub Actions CI/CD Pipelines Terraform Bicep ARM Templates Azure Policy Kubernetes AKS Docker Helm Service Mesh Prometheus Grafana Dynatrace Splunk Azure Monitor Application Insights Log Analytics PowerShell Python Python SDK REST API Automation CLI Tooling Git YAML Azure OpenAI Azure AI Services GitHub Copilot GitHub Advanced Security AIOps Chaos Engineering SRE Practices

Swarup Puvvada

AI-Enabled DevOps & Platform Engineer

Responsibilities

Core areas I lead across Azure, DevOps, SRE, platform engineering, and AI-enabled operations

Cloud Architecture

Design Secure Cloud Platforms

Design and implement secure, scalable Azure environments using IaaS, PaaS, and serverless patterns.

Networking & Security

Build Secure Network Foundations

Configure network segmentation, firewalls, private links, identity integration, and zero-trust cloud frameworks.

Monitoring & Observability

Implement Observability Practices

Build complete observability with dashboards, alerts, logs, metrics, and AI-driven anomaly detection.

Cloud Governance

Enforce Governance and Compliance

Implement policy controls, access boundaries, compliance checks, and landing zone standards for enterprise environments.

Scalability & Reliability

Engineer Scalability and Reliability

Design autoscaling, redundancy, and fault-tolerant architectures for mission-critical applications.

CI/CD Engineering

Own CI/CD Delivery Pipelines

Build and manage multi-stage pipelines for automated, reliable software delivery.

Release & Deployment Automation

Automate Releases and Deployments

Implement blue-green, canary, and zero-downtime deployment strategies for modern applications.

Version Control & Collaboration

Standardize Source Control Workflows

Use branching strategies, pull request discipline, and automated quality checks to streamline delivery pipelines.

Incident Response & Reliability

Lead Incident Response

Improve platform stability using automated alerts, SRE practices, and rapid root-cause analysis.

Automation Frameworks

Build Automation Frameworks

Develop repeatable automation to reduce manual work and increase operational efficiency.

Terraform Engineering

Provision Infrastructure as Code

Build reusable modules, manage state, and standardize infrastructure provisioning across environments.

Bicep & Native IaC

Standardize Native Azure Deployments

Create modular, secure deployments with governance and best practices built in.

Configuration Management

Maintain Configuration Standards

Keep environments consistent with automated patching, drift detection, and configuration baselines.

Kubernetes (AKS) Operations

Operate Kubernetes Platforms

Manage cluster health, scaling, upgrades, and workload optimization for cloud-native applications.

Containerization & Orchestration

Manage Container Lifecycles

Create secure container pipelines, optimize images, and manage registries for efficient deployments.

Service Mesh

Enable Service-to-Service Reliability

Enable secure traffic routing, retries, and observability for microservices communication.

Helm

Package and Deploy Applications

Package, version, and deploy Kubernetes applications for consistent, maintainable releases.

Docker

Containerize Application Workloads

Build, optimize, and manage portable application containers for scalable deployments.

SLA/SLO/SLI Management

Define Reliability Objectives

Track SLIs, set service level objectives, and manage error budgets for dependable operations.

Incident Management & Response

Coordinate Incident Management

Establish on-call rotations, war rooms, and post-incident reviews to minimize MTTR and improve resilience.

Root Cause Analysis

Perform Root Cause Analysis

Conduct blameless post-mortems, analyze failure patterns, and implement preventive measures to reduce recurrence.

Chaos Engineering & Resilience Testing

Validate Resilience Under Failure

Proactively test system resilience through controlled failure injection and chaos experiments.

Disaster Recovery & Business Continuity

Plan Disaster Recovery

Design and test backup procedures, failover mechanisms, and business continuity plans.

GitHub Advanced Security

Embed Security in Delivery

Implement code scanning, dependency analysis, and secret detection to identify vulnerabilities early.

Secure CI/CD Pipelines

Harden Delivery Pipelines

Strengthen deployment pipelines with artifact signing, compliance checks, and audit trails.

Secret & Access Management

Manage Secrets and Access

Manage credentials, API keys, and access tokens securely with role-based controls.

Compliance & Audit

Maintain Compliance and Auditability

Establish security baselines, perform vulnerability assessments, and maintain audit logs.

Azure AI Services

Apply AI to Operations

Use managed AI services to accelerate automation, insights, and intelligent application experiences.

Azure OpenAI

Use Generative AI for Workflow Support

Enhance automation, workflow assistance, and incident intelligence with generative AI.

GitHub Copilot

Accelerate Work with AI Assistance

Use AI-assisted coding support and workflow suggestions to move faster.

MLOps

Operationalize Machine Learning Workflows

Apply modern practices to model lifecycle automation, deployment, and governance.

PowerShell

Automate Operational Tasks

Automate Azure and Windows operations with scripts, modules, and reusable tooling.

Python

Develop Automation and Integration Tooling

Create utility scripts, APIs, and integration tooling for cloud operations.

Azure CLI

Operate Cloud Resources Programmatically

Manage Azure resources efficiently through command-line workflows and repeatable automation.

Bash

Support Linux-Based Automation

Build lightweight scripting flows for cloud and DevOps tasks.

Foundry

Drive Operational Intelligence

Use unified data integration and AI-driven decision support to improve platform outcomes.

IIS

Support Windows-Hosted Applications

Operate and support enterprise web applications and related services.

Octopus Deployment Tool

Coordinate Release Orchestration

Manage deployment automation with repeatable, controlled release processes.

Documentation

Document Runbooks and Standards

Create and maintain documentation, operational runbooks, and implementation standards for teams.

Stakeholder Collaboration

Coordinate with Stakeholders

Align delivery priorities with development, security, and business teams to keep execution clear and effective.

Swarup Puvvada

AI-Enabled DevOps & Platform Engineer

Work Experience

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.

Client 1
Applied Information Sciences - Hyderabad

DevOps Lead | Jan 2017 - Present | Client: GEICO (USA)

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.

Client 2
NTT Data Global Delivery Services

Senior Server Administrator | Dec 2015 - Jan 2017

Managed on-premises Windows Server environments, IIS-hosted applications, patching and upgrades, Active Directory administration, and 24x7 infrastructure support for stable production operations.

Client 3
Pike Solutions - Hyderabad

System Administrator | May 2011 - Dec 2015

Academic foundation that enabled my journey into infrastructure engineering, cloud architecture, automation, and modern DevOps practices.

Client 4
Education

Bachelor of Science (B.Sc), B.V.R.I.C.E - Bhimavaram

Swarup Puvvada

The AI Enabled Devops Engineer

About Me

Engineering Secure, Scalable Azure Platforms

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.

Swarup Puvvada portrait

Swarup Puvvada

AI-Enabled DevOps & Platform Engineer

Get in Touch

Let's build intelligent cloud experiences and scale your infrastructure together. I'm always open to discussing DevOps challenges, platform engineering opportunities, and AI-driven solutions.

Send a Message

I typically respond within 24 hours

Get in Touch

Multiple ways to connect

Location

Hyderabad, Telangana

India | Remote Available

Email

swarup.puvvada@gmail.com

Primary contact for inquiries

Phone

+91 99630-11234

Available on WhatsApp
Response Time: 24-48 hours

I value every inquiry and aim to provide thoughtful responses tailored to your needs.

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Open to Opportunities

Actively seeking full-time DevOps/SRE/Platform Engineering roles and consulting engagements

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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.