DevOps Engineer - Cloud, CI/CD, IaC, Kubernetes Expert

Nikhil Ravuri DevOps Engineer

*******@************.*** 908-***-**** USA LinkedIn

Profile

Experienced DevOps Engineer with 4+ years of expertise in automating and streamlining CI/CD pipelines, cloud infrastructure, and container orchestration. Proficient in AWS, Azure, Terraform, Kubernetes, Docker, Jenkins, and GitLab CI/CD, with a strong background in Infrastructure as Code (IaC), observability, security, and performance optimization. Recently explored AI/LLM-driven solutions for log intelligence, anomaly detection, and automated alert correlation to improve system resilience. Adept at collaborating with cross-functional teams to enhance system reliability, scalability, and deployment automation while ensuring DevSecOps best practices.

Skills

Programming & Scripting: Python, Bash/Shell Scripting, Java, Ruby, PL/SQL

Cloud Platforms: AWS (EC2, S3, IAM, EKS, RDS, Lambda, CloudFormation), Azure (AKS, Blob Storage, Virtual Machines, DevOps), GCP (GKE, BigQuery, Cloud Functions)

CI/CD & DevOps Tools: Jenkins, GitLab CI/CD, ArgoCD, Azure Pipelines, CircleCI, Spinnaker

Containerization & Orchestration: Docker, Kubernetes, OpenShift, Docker Swarm, Helm

Infrastructure as Code (IaC): Terraform, AWS CloudFormation, Pulumi, Ansible, Chef, Puppet

Monitoring & Observability: Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), Datadog, Splunk, AWS CloudWatch

AI/LLM Tools: OpenAI API, Datadog Watchdog AI, Google Cloud AIOps, Logz.io AI-based log analysis, Python-based LLM scripts for anomaly summarization

Security & Compliance: HashiCorp Vault, AWS IAM Policies, RBAC, DevSecOps, SAST, DAST

Networking & Load Balancing: Nginx, Apache, HAProxy, AWS ALB/ELB, Istio (Service Mesh)

Databases & Storage: MySQL, PostgreSQL, MongoDB, Amazon RDS, Redshift, CosmosDB Professional Experience

DevOps Engineer, KPMG 03/2024 –Present Remote, USA

Collaborated with architects and analysts to gather business requirements for the Cloud Modernization of Financial Analytics Platform and designed a secure AWS infrastructure using EC2, S3, IAM, and CloudFormation with 100% infrastructure documentation in Confluence.

Partnered with development teams to containerize applications using Docker and deployed them via Amazon EKS using Helm charts, improving deployment flexibility by 40% and ensuring consistent release tracking with GitLab, Bitbucket, and detailed YAML-based deployment docs.

Integrated AI/LLM-based anomaly detection for logs using Python scripts and OpenAI API, enabling 50% faster root cause analysis and generating automated daily summaries of system health to Slack using bots.

Built CI/CD pipelines using GitLab CI, Jenkins, and ArgoCD, working with QA and release teams to automate build and deployment processes, increasing release velocity by 60% while maintaining clear documentation of workflows and environment-specific configurations.

Implemented observability using AWS CloudWatch, Prometheus, and Grafana by collaborating with SREs to set up dashboards and alerts and used Bash scripts to automate log rotation and uptime checks, reducing incident detection time by 45%.

Wrote Python and Shell scripts for automated tasks such as system cleanup, scheduled backups, and security patching and optimized RDS and DynamoDB using AWS CLI and CloudWatch.

Integrated SonarQube and Checkmarx for SAST and DAST into CI/CD workflows and worked with InfoSec to apply DevSecOps standards while documenting security checkpoints, scan results, and audit trails in version-controlled Confluence pages. DevOps Engineer, Tata Consultancy Services Ltd 04/2020 – 09/2022 Hyderabad, India

Developed Ansible-based automation for configuration management, reducing manual provisioning efforts by 70%. Spearheaded the development of Ansible Automation tools, reducing manual tasks and optimizing workflows. Additionally, utilized Ansible for advanced configuration management.

Designed a Jenkins-based CI/CD pipeline integrated with Docker and Kubernetes, reducing build failures by 40%. Facilitated agile operations by orchestrating seamless collaboration among development, testing, deployment, and project teams, employing tools such as Slack for enhanced communication.

Automated resource provisioning with Terraform, ensuring consistent infrastructure deployments across AWS and Azure. Architecture, developed, and maintained Python scripts for GIT administration and executed the complete continuous delivery cycle with Jenkins, utilizing embedded shell scripts and Gradle for package management.

Optimized logging and monitoring with ELK Stack, improving real-time incident response times by 50%. Managed Nginx web servers, optimizing performance and ensuring seamless delivery of applications.

Managed network security groups, ingress/egress rules, and cross-VPC connectivity for multi-tier applications; implemented load balancing using HAProxy and AWS ALB.

Education

Master of Sciences, Pace University 09/2022 – 05/2024 New York, USA Computer Science

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