Vinith Reddy R
Open to work4 years experienceDevOps Engineer
DevOps Engineer with 4 years of experience in cloud-native platforms, CI/CD, and Kubernetes.
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Skills & Technologies
30 skillsGitHub Activity Evidence
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Work Experience
DevOps Engineer
Viatris
- Own and administer two enterprise CI/CD platforms — GitLab (150+ projects) and Azure DevOps (30+ organizations) — platform governance, upgrades, runner fleet optimization, backup validation, and operational support for core business engineering teams; additionally own deployment and operations for the company's public-facing website.
- Reduced manual deployment effort by ~50% by building CI/CD-driven release automation for enterprise applications (.NET services, Azure Function Apps, Logic Apps, Salesforce, and data platforms) across Dev, QA, UAT, and Production.
- Cut recurring infrastructure incidents by 40% and improved MTTR by leading production incident management and root- cause analysis across cloud-native and containerized environments, then automating the preventive fixes.
- Built reusable Terraform modules for provisioning Azure and AWS resources, standardizing infrastructure across teams and eliminating configuration drift; delivered ARM Template-based deployments for Azure-native services.
- Operate Kubernetes (AKS) workloads in production — deployment rollout strategies, scaling, and troubleshooting for containerized applications across multiple environments.
- Automated data platform deployments for Azure Databricks (Terraform-provisioned, with automated notebook release pipelines), Azure Data Factory, Synapse Analytics, and Power BI — managing release workflows and production support for analytics workloads.
- Designed AWS environments covering VPC and subnet architecture, IAM policies, EC2 with ALB/Auto Scaling Groups, and Lambda-based automation for operational workflows.
- Embedded DevSecOps controls into CI/CD — SAST, DAST, and compliance validations as pipeline gates, improving release quality and reducing security findings reaching production.
- Built monitoring and alerting with Splunk and Azure Monitor, enabling proactive detection and faster resolution of platform and pipeline failures, improving developer productivity across multiple teams.
Projects
AI Platform with RAG Pipeline
- Containerized with Docker and deployed an end-to-end AI application with a Retrieval-Augmented Generation (RAG) pipeline on Kubernetes; instrumented the full stack with Prometheus and Grafana — custom metrics, dashboards, and alerting for latency, throughput, and model-call health — applying production SRE practices to LLM workloads.
AI-Powered Regulatory Compliance Platform
- AI-driven compliance monitoring solution using Azure OpenAI — regulatory-update analysis with compliance-propagation, impact-assessment, and risk-scoring engines and automated risk dashboards.
Leaderboard Standings
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Assessment Highlights
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AI Collaboration Score
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Role Compatibility Profile
Role Compatibility Analysis Pending
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Achievements
CI/CD Automation Efficiency
Reduced manual deployment effort by ~50% by building CI/CD-driven release automation.
Incident Reduction and MTTR Improvement
Cut recurring infrastructure incidents by 40% and improved MTTR through incident management and preventive automation.
About Details
Professional Bio
DevOps Engineer with 4 years of experience building and operating cloud-native platforms on Azure and AWS. Expert in CI/CD platform administration, infrastructure automation with Terraform, and Kubernetes orchestration. Proven track record in reducing manual effort and infrastructure incidents.
B.E. in Electronics and Instrumentation
BMS College of Engineering, Bengaluru (2018 - 2022)