Gadiparthi Srividya

Programmer Analyst | Devops Engineer

Talent

BengaluruMember since May 25, 2026

AWS (ECR, EC2, IAM, VPC, S3)TerraformCloud-based application HostingGitLab CI/CDJenkins (declarative pipelines, webhooks, SonarQube, Maven)GitGitHubGitlabDocker (Dockerfile, Image build & pull)Kubernetes (pods, deployments, replicasets, NampeSpace, services – Nodeport, CluAWS ECRAnsible (playbooks, roles, Inventory)Automated server ConfigurationDevSecOps conceptsGitOps FundamentalsyamlShellNagiosGrafanaPrometheusServiceNowJiraLinux (Ubuntu, Amazon Linux)Windows 10 & 11

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AWS (ECR, EC2, IAM, VPC, S3)TerraformCloud-based application HostingGitLab CI/CDJenkins (declarative pipelines, webhooks, SonarQube, Maven)

About

DevOps Engineer with 4 years of hands-on experience in building, automating, and supporting CI/CD pipelines, containerized applications, and cloud-based deployments. Strong expertise in establishing Secure, Centralized container image management systems using Amazon ECR and migrating manual workflows to fully automated GitLab CI/CD Pipelines. Proficient in Git, Jenkins, Docker, Kubernetes, Ansible, Nagios, Terraform, and Linux environments.

Proven ability to automate deployments, improve release reliability, monitor production systems, and collaborate with cross-functional teams to deliver scalable and secure solutions. Passionate about DevOps best practices, GitOps, DevSecOps, and continuous improvement.

Experience

Programmer Analyst - Cognizant Technology Solutions

(2022-02)

Client: Travelers Indemnity Company

Designed and implemented fully automated GitLab CI/CD pipelines, reducing deployment time by 60% and eliminating manual SSH based deployments.
Automated Docker Image build and push process to Amazon ECR, enabling secure and centralized container image management.
Configured IAM-based authentication for EC2 instances and Ubuntu workstations to ensure secure, non-interactive image pulling/pushing
Automated application deployments using Docker, reducing manual effort and improving release consistency across environments.
Managed containerized applications on Kubernetes clusters, ensuring high availability and scalability using ReplicaSets and Services
Provisioned AWS infrastructure using terraform (VPCs, subnets, security groups), enabling repeatable and version-controlled environments.
Monitored production system using Nagios, ensuring application availability and proactive issue detection.
Resolved incident tickets based on severity using ServiceNow, adhering to SLA and participating in on-call rotations.
Collobrated with development and QA teams to support smooth releases and continues improvement initiatives.
Implemented Ansible automation to install and configure Jenkins, Docker, and Kubernetes across Linux servers.