Senior DevOps Engineer - AWS/Azure, CI/CD, Kubernetes

Prudvi Raj

Charlotte, NC ******.*******@*****.*** 845-***-**** LinkedIn

PROFILE SUMMARY

DevOps Engineer with 5+ years of experience designing, automating, and managing scalable cloud infrastructure and CI/CD pipelines across AWS and Azure. Skilled in building reliable, secure, and cost-efficient systems using Terraform, Ansible, Jenkins, GitHub Actions, ArgoCD, and Azure DevOps. Strong hands-on expertise with Kubernetes, Docker, and Helm for container orchestration and microservice deployments. Experienced in implementing end-to-end observability with Prometheus, Grafana, ELK Stack, and CloudWatch to enhance performance and reduce MTTR. Adept at embedding DevSecOps practices using SonarQube, Checkov, and IAM policies aligned with SOC 2 and ISO 27001 standards. Proven ability to partner with cross-functional teams to deliver high-performance, compliant, and automated cloud platforms that accelerate deployment velocity, improve reliability, and optimize operational costs.

EDUCATION

Master’s in Computer Science Marist University, New York, USA. Bachelor’s in Computer Science Guru Nanak Institutions Technical Campus, Hyderabad, India. PROFESSIONAL EXPERIENCE

S&P GLOBAL NJ Senior DevOps Engineer July 2024 – Present

• Architected and maintained CI/CD pipelines using Jenkins, GitHub Actions, and ArgoCD for 100+ microservices supporting financial analytics platforms, reducing deployment time by 35%.

• Automated cloud provisioning and configuration management with Terraform and Ansible, achieving consistent multi- region deployments and cutting environment setup time by 55%.

• Implemented a GenAIOps assistant using OpenAI GPT-4 to auto-generate incident runbooks from deployment logs, reducing mean-time-to-resolution (MTTR) by 15%.

• Optimized AWS infrastructure costs by 20% through auto-scaling Amazon EMR clusters and leveraging S3 Intelligent- Tiering guided by AWS Cost Explorer.

• Integrated Prometheus, Grafana, and ELK Stack (Elasticsearch, Logstash, Kibana) to enhance monitoring and observability, accelerating root cause analysis by 40%.

• Strengthened platform security and compliance by integrating SonarQube, Checkov, and IAM least-privilege policies into CI/CD workflows, aligning with SOC 2 and ISO 27001 standards.

• Defined and enforced Service Level Objectives (SLOs) and built automated health-check systems with AWS CloudWatch and Python, improving incident recovery time by 30%.

• Partnered with Data Engineering, SRE, and Product teams to deliver scalable, high-performance DevOps solutions supporting S&P’s data pipelines and analytics platforms. Microsoft WA DevOps Engineer May 2023 – July 2024

• Designed and implemented Azure DevOps CI/CD pipelines using YAML templates to automate builds, testing, and deployments for large-scale cloud applications, reducing release cycles by 45%.

• Deployed and managed containerized workloads on Azure Kubernetes Service (AKS) using Helm and Terraform, ensuring high availability, version-controlled rollouts, and seamless blue-green deployments.

• Created reusable Infrastructure-as-Code (IaC) modules using Terraform and Bicep to provision and manage Azure services including VMs, VNETs, Key Vault, and App Services, improving governance and environment standardization.

• Engineered and automated data pipeline deployments in Azure Data Factory and Azure Databricks using DevOps practices, enabling CI/CD for ETL workflows and accelerating data product releases by 25%.

• Automated environment configuration and patch management with Ansible and PowerShell Desired State Configuration

(DSC), reducing manual administrative effort and configuration drift across hybrid Windows and Linux environments.

• Integrated Azure Monitor, Application Insights, and Log Analytics for proactive monitoring and telemetry visualization, cutting mean time to recovery (MTTR) by 35%.

• Led Agile DevOps practices by facilitating sprint planning for infrastructure initiatives and integrating security and compliance checks into CI/CD workflows, accelerating project delivery by 15%. Akamai India Associate DevOps Engineer June 2019 – December 2021

• Built and maintained CI/CD pipelines using Jenkins and Git to automate build, test, and deployment workflows for large- scale web delivery platforms, improving deployment frequency and reducing manual effort by 25%.

• Deployed and managed containerized applications with Docker and Kubernetes, optimizing resource utilization and improving service scalability across multi-region clusters.

• Automated infrastructure provisioning and configuration management for Linux-based systems using Ansible and Python, ensuring consistent deployments across distributed Akamai Edge environments.

• Developed Python automation scripts for log analysis, alerting, and system health checks, reducing manual monitoring time by 25% and improving operational efficiency.

• Integrated ELK Stack (Elasticsearch, Logstash, Kibana) and Grafana for centralized logging and monitoring, enabling proactive issue detection and reducing mean time to resolution (MTTR) by 35%.

• Utilized Akamai CDN tools and APIs to monitor edge node performance, automate cache purges, and optimize content delivery paths for high-traffic global enterprise clients.

• Collaborated with Development, NOC, and SRE teams to maintain high availability, reliability, and security of Akamai’s global content delivery infrastructure.

SKILLS

DevOps & SRE Methodologies: Agile, Scrum, Kanban, CI/CD, DevSecOps, Site Reliability Engineering (SRE), Microservices Architecture, Infrastructure as Code (IaC)

Scripting & Programming Languages: Python, Bash, PowerShell, Go Cloud Platforms: Amazon Web Services (AWS), Microsoft Azure AWS Services: EC2, S3, VPC, RDS, Lambda, ECS, EKS, Fargate, CloudWatch, CodePipeline, CodeBuild, IAM, EMR, Cost Explorer Azure Services: Azure Kubernetes Service (AKS), Azure Monitor, App Services, VMs, VNETs, Data Factory, Databricks, Azure Bicep Infrastructure as Code & Configuration Management: Terraform, Ansible, Bicep, PowerShell DSC, AWS CloudFormation Containers & Orchestration: Docker, Kubernetes, Helm, Amazon EKS, Azure AKS CI/CD & Automation Tools: Jenkins, GitHub Actions, GitLab CI/CD, ArgoCD, CircleCI, Bamboo, Travis CI, Maven, Gradle Monitoring & Logging: Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), Splunk, Nagios, AWS CloudWatch, Azure Monitor, Application Insights, Log Analytics

Version Control & Collaboration: Git, GitHub, GitLab, Bitbucket, SVN, Jira, Confluence Databases & Caching: MySQL, PostgreSQL, MongoDB, Redis, DynamoDB, Cosmos DB, Oracle Database, Microsoft SQL Server Operating Systems & Virtualization: Linux (Ubuntu, CentOS, RHEL), Windows Server, VMware vSphere/ESXi, Hyper-V CERTIFICATIONS

• AWS Certified Developer – Associate

• Certified Kubernetes Administrator (CKA)

• Microsoft Certified: DevOps Engineer Expert

• AWS Certified DevOps Engineer - Professional

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