AI-Enabled DevOps & SRE Engineer | Platform Engineering Specialist
AI-Enabled DevOps & SRE Engineer | Platform Engineering Specialist
AI-Enabled DevOps & SRE Engineer
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.
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.
Implemented multi-environment IaC using Terraform and Bicep with reusable modules, workspaces, and remote state best practices. Architected multi-region highly available Azure environments.
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.
Designed and maintained secure CI/CD pipelines with Azure DevOps and GitHub Actions for containerized deployments. Standardized deployment patterns across enterprise teams and clients.
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.
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.
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 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
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 network segmentation, firewalls, private links, identity integration, and zero-trust cloud frameworks.
Build complete observability with dashboards, alerts, logs, metrics, and AI-driven anomaly detection.
Implement policy controls, access boundaries, compliance checks, and landing zone standards for enterprise environments.
Design autoscaling, redundancy, and fault-tolerant architectures for mission-critical applications.
Build and manage multi-stage pipelines for automated, reliable software delivery.
Implement blue-green, canary, and zero-downtime deployment strategies for modern applications.
Use branching strategies, pull request discipline, and automated quality checks to streamline delivery pipelines.
Improve platform stability using automated alerts, SRE practices, and rapid root-cause analysis.
Develop repeatable automation to reduce manual work and increase operational efficiency.
Build reusable modules, manage state, and standardize infrastructure provisioning across environments.
Create modular, secure deployments with governance and best practices built in.
Keep environments consistent with automated patching, drift detection, and configuration baselines.
Manage cluster health, scaling, upgrades, and workload optimization for cloud-native applications.
Create secure container pipelines, optimize images, and manage registries for efficient deployments.
Enable secure traffic routing, retries, and observability for microservices communication.
Package, version, and deploy Kubernetes applications for consistent, maintainable releases.
Build, optimize, and manage portable application containers for scalable deployments.
Track SLIs, set service level objectives, and manage error budgets for dependable operations.
Establish on-call rotations, war rooms, and post-incident reviews to minimize MTTR and improve resilience.
Conduct blameless post-mortems, analyze failure patterns, and implement preventive measures to reduce recurrence.
Proactively test system resilience through controlled failure injection and chaos experiments.
Design and test backup procedures, failover mechanisms, and business continuity plans.
Implement code scanning, dependency analysis, and secret detection to identify vulnerabilities early.
Strengthen deployment pipelines with artifact signing, compliance checks, and audit trails.
Manage credentials, API keys, and access tokens securely with role-based controls.
Establish security baselines, perform vulnerability assessments, and maintain audit logs.
Use managed AI services to accelerate automation, insights, and intelligent application experiences.
Enhance automation, workflow assistance, and incident intelligence with generative AI.
Use AI-assisted coding support and workflow suggestions to move faster.
Apply modern practices to model lifecycle automation, deployment, and governance.
Automate Azure and Windows operations with scripts, modules, and reusable tooling.
Create utility scripts, APIs, and integration tooling for cloud operations.
Manage Azure resources efficiently through command-line workflows and repeatable automation.
Build lightweight scripting flows for cloud and DevOps tasks.
Use unified data integration and AI-driven decision support to improve platform outcomes.
Operate and support enterprise web applications and related services.
Manage deployment automation with repeatable, controlled release processes.
Create and maintain documentation, operational runbooks, and implementation standards for teams.
Align delivery priorities with development, security, and business teams to keep execution clear and effective.
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
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.
AI-Enabled DevOps & Platform Engineer
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.
I typically respond within 24 hours
Multiple ways to connect
Hyderabad, Telangana
India | Remote AvailableI value every inquiry and aim to provide thoughtful responses tailored to your needs.
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.