Cloud & DevOps Engineer - Kubernetes, IaC, CI/CD, SecOps

SRINIVAS NAGARAJA

LinkedIn · GitHub · Portfolio · Ó 513-***-**** · R *.*************@*****.*** · Plano, TX SUMMARY

Cloud & DevOps Engineer with experience in automating, securing, and optimizing scalable infrastructure across AWS, Azure, GCP and On-Prem environments. Proven expertise in Kubernetes, Docker, CI/CD (Jenkins, GitHub Actions, GitLab), Infrastructure as Code (Azure Bicep, AWS CloudFormation, Terraform), automation scripting, cloud security, IAM, observability, and cost optimization.

EXPERIENCE

Software Engineer, DevOps May 2025 – Nov 2025

KLA Corporation Milpitas, CA

• Automated end-to-end VM provisioning in AWS, Azure and VMware vSphere by engineering Jenkins pipelines that captured user inputs, pulled Terraform IaC modules, deployed VMs from Packer-built templates, and executed post-deployment configuration scripts reducing provisioning time by 70% and lowering change-related rework.

• Managed and scaled enterprise-grade Kubernetes clusters using Amazon EKS, configuring kubectl access, Helm charts, and ingress controllers to deploy high-availability containerized services including Postgres and custom application stacks.

• Architected automated data ingest workflows using Kubernetes CronJobs, S3, and Postgres, while maintaining strict security via IAM roles and Kubernetes Secrets; implemented the ELK Stack (Elasticsearch, Logstash, Kibana) for centralized logging, real-time monitoring, and custom dashboarding.

• Automated deployment of vLLM models from Huggingface using Ansible, enabling scalable GPU-based inference workloads and supporting internal teams running advanced language models across various training experiments.

• Accelerated application delivery cycles by 50% by migrating manual deployments to a GitOps model using ArgoCD, Helm, and Kustomize for automated cluster lifecycle management.

• Reduced configuration drift incidents to near-zero by implementing Infrastructure as Code (IaC) using Terraform and Ansible to manage 100% of Kubernetes manifest states. AI, Cloud & DevOps Engineer Nov 2024 – May 2025

University of Cincinnati – Digital Technology Solutions Cincinnati, OH

• Architected and deployed Sitefinity 15.3 in hybrid mode configuring the backend CMS on ASP.NET Framework 4.8, the frontend via ASP.NET Core Renderer, integrating SQL databases, validating the setup on IIS Express & IIS for Sitefinity, and successfully deploying the full CMS + Renderer + DB stack to Azure Web Apps.

• Accelerated application delivery cycles by 50% by migrating manual deployments to a GitOps model using ArgoCD, Helm, and Kustomize for automated cluster lifecycle management.

• Designed and implemented CI/CD pipelines integrated with GitHub for automated build, release, and deployment of .NET workloads cutting release lead time by 55% and reducing rollout failures by 30% via gated approvals and automated validation.

• Strengthened cloud security posture by enforcing CIS compliance automation via Puppet Enterprise and leveraging hardened golden images across infrastructure nodes, reducing high-risk findings by 33%.

• Developed a Packer based golden image pipeline for Windows Server with embedded CIS baselines and required tools to deliver secure, compliant, and standardized VM templates, reducing configuration drift by 28%.

• Improved cluster-wide configuration consistency by 30% by performing over 50+ technical code reviews for mid-level engineers, ensuring all YAML manifests and GitOps pipelines adhered to enterprise standards and RBAC security best practices.

• Delivered a migration proof-of-concept from Bamboo to Azure DevOps, demonstrating full CI/CD modernization, pipeline-as-code practices, and seamless migration paths for legacy build systems.

• Performed end-to-end Azure cloud migration, moving databases from on-prem/local environments to managed Azure services and validating connectivity across CMS, Renderer, and DB layers for a complete cloud-first deployment

• Built automated CI failure analytics by storing pipeline errors in a database and visualizing insights in Grafana improving debugging speed by 40% and increasing release throughput by 25% through faster root-cause isolation. Cloud & DevOps Engineer Apr 2023 – Aug 2024

Cisco Systems Hyderabad, India

• Engineered scalable multi-cloud infrastructure (AWS + Azure) using Terraform to automate compute, networking, and security provisioning with reusable infrastructure modules, cutting environment build time by 60%.

• Automated routine system administration tasks using Python and Bash, eliminating 12+ hours/week of manual operational effort while reducing ticket volume by 25% through repeatable automation and guardrails.

• Deployed enterprise-grade monitoring with Prometheus, Zabbix, Grafana, and custom alerting to proactively detect anomalies and improve observability, reducing MTTD by 35% and MTTR by 30% for production services.

• Improved engineering velocity by 15% by creating a centralized Internal Developer Portal (IDP) using Backstage to document cluster architecture, ingress endpoints, and on-call runbooks.

• Accelerated application delivery cycles by 50% by migrating manual deployments to a GitOps model using ArgoCD, Helm, and Kustomize for automated cluster lifecycle management.

• Automated 20+ weekly manual operations by developing custom Go and Python scripts for automated certificate rotation and log cleanup across hybrid environments.

• Architected and maintained multi-branch Azure YAML pipelines, automating CI/CD workflows for build, test, and deployment phases across Dev, QA, and Production environments.

• Led end-to-end cloud infrastructure automation across AWS and Azure using Terraform, Docker, and Kubernetes, enabling standardized provisioning and improving deployment efficiency by 40% across global environments.

• Engineered Python and Shell-based automation frameworks that eliminated repetitive operational tasks and optimized CI/CD workflows, reducing deployment time by 40% and increasing overall pipeline reliability.

• Orchestrated containerized workloads using Azure Kubernetes Service (AKS) and managed the lifecycle of microservices across App Services, Function Apps, and WebJobs. Systems Engineer - Cloud & DevOps Aug 2021 – Apr 2023 Stellantis Hyderabad, India

• Secured global traffic entry points by implementing Azure Front Door, WAF, and APIM, ensuring robust API governance and protection against DDoS/OWASP threats.

• Engineered complex DNS solutions, managing Private DNS Zones and cross-region resolution for secure, internal cloud architectures.

• Drove major cloud cost-optimization initiatives, consolidating underutilized workloads, tuning storage lifecycles, and implementing rightsizing automation resulting in a 32% cost reduction and approximately $500K annually.

• Enhanced storage throughput by 15% for stateful applications by diagnosing and reconfiguring CSI driver parameters and storage class performance settings.

• Improved deployment reliability by 40% by designing and maintaining multi-stage CI/CD pipelines in GitLab CI and Jenkins, incorporating automated linting for Helm charts and Kustomize manifests.

• Led the end-to-end engineering of the Stellantis Global Service Delivery Platform, architecting and launching cloud environments for NAFTA, EMEA, and China regions, enabling scalable, secure, multi-region operations across a global user base.

• Integrated AWS CloudFormation into the provisioning workflow, transforming environment builds from manual hours-long processes into fully automated deployments, improving build speed by 60% and standardizing infrastructure consistency..

• Architected a high-performance CI/CD pipeline using Jenkins + Git + CloudFormation, achieving 2 faster release cycles, zero-downtime promotion workflows, and automated cross-region rollouts.

• Implemented Zero-Trust identity patterns using Azure AD (Entra ID) App Registrations, OAuth 2.0 flows, and Azure Key Vault for secure secret management.

• Achieved zero-downtime application upgrades by architecting Blue-Green and Canary deployment strategies within ArgoCD, reducing the blast radius of failed releases by 40%.

• Optimized EBS and S3 storage lifecycles through automated rightsizing, tiering, and snapshot policy refinement achieving $100K+ annual savings while improving storage availability and performance.

• Improved SQL database performance by 25% through schema optimization, indexing improvements, and query tuning, resulting in faster transaction speeds, lower latency, and improved application reliability. SKILLS

Cloud Platforms & IaC: AWS, Azure, GCP, VMware, Terraform, ARM Templates, Bicep, AWS CloudFormation Containerization & Orchestration: Docker, Kubernetes (EKS, AKS), Helm, Ingress Controllers, Argo CD CI/CD & Automation: Jenkins, Azure DevOps, GitHub Actions, GitLab CI, Git, Maven, SonarQube, Puppet Monitoring: Prometheus, Grafana, AWS CloudWatch, Zabbix, Splunk, ELK Stack, Kibana, Azure Monitor Programming & Scripting: Python, Go, Java, C, C++, Bash, PowerShell, Shell Scripting, PySpark, Scala Certifications: AWS Certified Solutions Architect (Associate), Pursuing Certified Kubernetes Administrator (CKA) GPU & Performance Optimization: NVIDIA GPU Monitoring, Resource Scaling (CPU/GPU/Memory/Network) On-Premises Kubernetes: Kubeadm, RKE/Rancher, Bare-metal Cluster Administration, Node Lifecycle Storage & Networking: Persistent Volumes (PV/PVC), CSI Drivers, Calico, Flannel, Istio Service Mesh, Metallb Security & Governance: RBAC, NetworkPolicies, Pod Security Standards (PSS), HashiCorp Vault Package Management & GitOps: Kustomize, FluxCD, Artifact Hub, Private Container Registries (Harbor, JFrog) EDUCATION

University of Cincinnati Cincinnati, OH

Master of Science, Information Technology (CGPA: 3.9/4.0) Aug 2024 – Dec 2025 Jawaharlal Nehru Technological University Anantapur, India Bachelor of Technology, Computer Science and Engineering (CGPA: 8.8/10) Aug 2017 – Jul 2021

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