Devi Prasanth Sunkara

Devi Prasanth Sunkara

Release Automation Engineer

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location of Devi Prasanth SunkaraTampa, Florida, United States

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  • Timeline

  • About me

    Sr Devops/Cloud Engineer @ Rivian | Actively looking for Contract C2C roles|Certified in GCP, AWS, Terraform | AWS, GCP, Azure,Terraform, Docker, Kubernetes

  • Education

    • KL University

      2011 - 2015
      Bachelor of Technology Computer Science
  • Experience

    • Cerner Corporation

      Jun 2015 - Aug 2017
      Release Automation Engineer

      Managed Git and Subversion repositories, ensuring seamless version control and integration across projects.Designed efficient branching and release strategies, reducing release cycle time by 25%.Automated infrastructure setup using Puppet, cutting manual configuration time by 50%.Improved system performance by optimizing Linux servers, increasing uptime and reliability.Developed CI/CD pipelines, reducing deployment time and minimizing failures.Deployed containerized applications using Docker and Kubernetes, enhancing scalability.Implemented monitoring tools like Nagios and Prometheus, reducing issue resolution times by 40%.Conducted security audits and system hardening, reducing vulnerabilities by 60%.Documented release and deployment processes, improving team efficiency and reducing errors.Collaborated with cross-functional teams to streamline software delivery workflows. Show less

    • MOURI Tech

      Sept 2017 - Nov 2019
      AWS Devops Engineer

      Managed the deployment and scaling of containers using Kubernetes and Amazon EKS, streamlining containerized app management on AWS.Implemented serverless architecture with AWS Lambda, API Gateway, DynamoDB, and other AWS services to build scalable applications.Automated cloud infrastructure using AWS CloudFormation, SAM templates, and Jenkins for CI/CD deployments.Designed and developed CI/CD pipelines on AWS, incorporating services like Amazon EC2, S3, and RDS to manage cloud-based services.Configured CloudWatch alarms to monitor app performance, error rates, and traffic, notifying teams via SNS to ensure uptime and reliability. Show less

    • Webster Bank

      Jan 2020 - Mar 2021
      DevOps Engineer

      Led the migration of on-prem applications to AWS using EC2, RDS, and S3 for seamless data transfer and improved system reliability.Set up and managed Elastic Load Balancers and EC2 Auto Scaling groups to improve application availability and scalability.Worked with Amazon EKS and Kubernetes to manage and scale containerized applications efficiently.Created automated deployment pipelines with Jenkins, AWS CodeBuild, and AWS CodePipeline for smooth and consistent application releases.Implemented various AWS services like EC2, S3, RDS, EBS, and VPC to optimize cloud infrastructure performance and reliability.Automated infrastructure management using AWS CloudFormation templates for consistent and scalable deployments.Used Terraform to automate the provisioning and management of AWS cloud resources, ensuring efficiency and repeatability across environments. Show less

    • Presbyterian Healthcare Services

      Apr 2021 - Aug 2022
      Azure DevOps Engineer

      Built CI/CD pipelines to deploy healthcare services on Kubernetes clusters.Deployed clinical applications using Helm charts and TCA tools.Created deployment files for promoting test environments to production.Installed and configured the ELK stack to analyze logs from healthcare apps.Automated Azure DevOps and Jenkins pipelines for faster deployments.Designed ETL pipelines using Databricks to process healthcare data.Implemented encryption and security controls to protect patient data.Used Terraform to standardize and automate cloud infrastructure setup.Scheduled healthcare data jobs using automated cron tasks.Restricted Jenkins access with role-based controls for secure deployments.Managed Azure and AWS infrastructure for critical healthcare systems. Show less

    • PNC

      Sept 2022 - Dec 2023
      Sr GKE DevOps Specialist

      Configured Google Cloud VPC and Database Subnet Groups to enhance network security and isolate resources.Migrated Java-based microservices from on-premises to Google Cloud, improving system performance and reducing costs.Automated tasks using shell and Python scripts, enhancing operational efficiency.Built and managed CI/CD pipelines using Jenkins and Bamboo, accelerating application delivery.Deployed and managed Kubernetes workloads on GKE with autoscaling to optimize resource utilization.Implemented monitoring solutions like Dynatrace, Splunk, and NewRelic to ensure system reliability.Designed data pipelines using Cloud Dataflow and BigQuery for advanced analytics and reporting.Managed Terraform state and implemented security checks with tfsec and Checkov for compliance.Optimized storage solutions using Google Cloud Storage, enabling cost-effective backups with Coldline.Created Kustomize templates to streamline Kubernetes deployments and reduce errors.Defined and managed GCP IAM roles to secure access to sensitive data and resources.Established Git version control practices to improve collaboration and streamline code deployment. Show less

    • Rivian

      Jan 2024 - now
      Sr DevOps AWS/GKE Engineer

      Migrated infrastructure and applications from AWS to GCP, ensuring smooth transition with minimal downtime.Built scalable and secure cloud infrastructure on GCP for critical automotive workloads.Migrated databases from AWS RDS and DynamoDB to Cloud SQL and BigQuery for improved performance.Shifted containerized applications from AWS ECS to GKE, automating scaling and management with Kubernetes.Automated infrastructure setup using Terraform to ensure consistency and reliability.Set up and maintained CI/CD pipelines with Jenkins, GitLab CI, and Cloud Build to streamline deployments.Moved object storage from AWS S3 to Google Cloud Storage, optimizing costs with Coldline storage.Migrated serverless workflows from AWS Lambda to Google Cloud Functions, simplifying backend processes.Developed microservices using GKE and Kustomize, reducing deployment errors and improving scalability.Built and deployed machine learning models using Vertex AI, enabling predictive analytics for vehicle performance and maintenance insights.Built real-time data pipelines with Cloud Dataflow and Pub/Sub for efficient telemetry processing. Show less

  • Licenses & Certifications