Venkata Pariti

About Venkata Pariti

DevOps Engineer with 5+ years of experience designing, automating, and managing scalable cloud infrastructures and CI/CD pipelines across AWS and hybrid environments. Skilled in Terraform, Ansible, Jenkins, GitHub Actions, GitLab CI, ArgoCD, Docker, and Kubernetes to deliver secure, reliable, and efficient deployments for enterprise applications.• Proven expertise in Infrastructure as Code (IaC), DevSecOps, and AIOps, with hands-on experience using Datadog, ELK Stack, Grafana, SonarQube, Checkov, and Vault. Adept at implementing SOC 2 and ISO 27001-aligned automation frameworks, driving cost optimization, faster releases, and improved system reliability through collaboration with cross-functional teams.

Experience

1. Senior Devops Engineer

   SS&C Technologies

   Jul 2024 — Present · CT, US

   Architected and managed enterprise CI/CD pipelines using Jenkins, GitHub Actions, and ArgoCD to automate Kubernetes deployments for financial applications, reducing release time by 30% and improving reliability.• Implemented Infrastructure as Code (IaC) with Terraform and Ansible across multi-region AWS environments, integrating FinOps tagging and cost monitoring to cut setup time by 40% and reduce cloud spend by 15%.• Integrated AIOps and observability using AWS DevOps Guru and Datadog to proactively detect anomalies, preventing 8 production incidents and reducing unplanned downtime by 25%.• Strengthened platform security by embedding SonarQube (SAST), Checkov (IaC scanning), and IAM least-privilege validation into CI/CD pipelines, ensuring compliance with SOC 2 and ISO 27001 standards.• Optimized AWS infrastructure (EC2, S3, EMR, Lambda) through auto-scaling, S3 Intelligent-Tiering, and AWS Cost Explorer analytics, achieving a 20% cost reduction for large-scale data processing.• Developed Python automation scripts to collect Agile metrics (velocity, deployment frequency), improving sprint forecasting accuracy by 15% and providing real-time visibility.

Education

• Chicago State University

  Master's degree, Computer Science