DevOps Engineer / SRE with 7+ Years Experience

DevOps Engineer/SRE

Name: PRASAD VANAMALA

Ph.no: 409-***-****

Email id: ****************@*****.***

LinkedIn: www.linkedin.com/in/prasad-vanamala-1a63b8192/

Professional Summary:

Results-oriented DevOps Engineer with 7+ years of experience in automating software delivery pipelines, managing cloud infrastructure, and enabling high-availability systems.

Proficient in CI/CD pipeline design using tools like Jenkins, GitHub Actions, and Azure DevOps for seamless build, test, and deployment workflows.

Hands-on expertise in cloud platforms including AWS, Azure, and Google Cloud with a focus on scalability, automation, and security.

Skilled in building CI/CD pipelines and containerized workloads, with strong proficiency in SQL queries, database optimization, and integrating data workflows into DevOps processes.

Strong experience in Linux-based software development, system-level debugging, and automation using Bash and Python scripting integrated with CI/CD and cloud environment

Experience in Server provisioning, automation (Ansible, Chef, Puppet, Salt Stack), maintenance &performance tuning.

Adept at writing and managing Infrastructure as Code (IaC) using Terraform, CloudFormation, and Ansible for reproducible and automated infrastructure provisioning.

Hands-on expertise in designing secure, high-availability infrastructures, writing optimized automation scripts, and supporting Kubernetes-based deployments across enterprise platforms.

Developed, maintained, and optimized Linux-based automation scripts to support deployment and monitoring pipelines.

Wrote optimized SQL queries and stored procedures for application data integrity and performance tuning.

Performed system-level debugging and troubleshooting in Linux environments, improving uptime and service reliability.

Created Bash and Python scripts for routine operational tasks, reducing manual work by 40%.

Collaborated with database teams to ensure query efficiency and schema consistency across environments.

Expertise in Querying MongoDB, and RDBMS such as Oracle PL/SQL, SQL Server, and MySQL by using SQL for Data Integrity.

Managed and maintained Amazon EKS clusters, including node groups, autoscaling, workload distribution, and Kubernetes resource optimizations.

Strong monitoring and alerting background with Prometheus, Grafana, ELK Stack, CloudWatch, and Datadog for observability and incident response.

Collaborative team player in Agile/Scrum environments, with excellent problem-solving, scripting (Bash, Python), and system debugging skills.

Committed to continuous improvement, leveraging GitOps, serverless DevOps, and platform engineering trends to drive engineering efficiency.

Technical Skills

CI/CD Tools: Jenkins, GitHub Actions, GitLab CI/CD, Azure Pipelines

Operating Systems: Linux (Ubuntu, RHEL, CentOS)

Programming & Scripting: Bash, Python, SQL (Optimization & Stored Procedures),PowerShell

Database: MySQL, PostgreSQL — query optimization, joins, data integration

Cloud Platforms: AWS (EC2, S3, EKS, Lambda), Azure (AKS, App Services)

IaC: Terraform, CloudFormation, Ansible, Bicep

Containers: Docker, Podman

Orchestration: Kubernetes, Helm, Customize, ArgoCD

Monitoring/Logging: Prometheus, Grafana, ELK Stack, CloudWatch, Datadog

Security: Vault, Snyk, IAM, RBAC, AWS Secrets Manager

Version Control: Git, GitHub, SVN

Other Tools: Nexus, SonarQube, JFrog Artifactory, Backstage

Professional Experience:

Client: UHG, Chicago, IL April 2024 - Till Date

Role: DevOps Engineer / Site Reliability Engineer

Responsibilities:

Automated the CI/CD pipeline process by integrating the Docker with Jenkins by pulling the source code from GitHub Repository and configured SonarQube for code coverage and sonar metrics in the pipeline for quality of unit test cases by using Coverage Plugins and generated build using Maven.

Created Docker images using Docker file, worked on Docker container snapshots, removing images and managing Docker volumes.

Designed secure and scalable AWS architectures using EC2, S3, IAM, CloudWatch, and Load Balancers to maintain high availability.

Worked with scheduling, deploying, managing container replicas on to a node using Kubernetes and experience in creating Kubernetes clusters and working with helm charts running on the same cluster resources.

Automating the Build infrastructure for deploying services in Dockized environments using Jenkins, SonarQube, Docker.

Worked with Terraform Templates to automate the Azure IaaS Virtual machines using Terraform modules and deployed virtual machine scale sets in production environment.

Experienced in using Ansible as a configuration management tool and developed Ansible Playbooks.

Configured Azure Multi-Factor Authentication (MFA) as a part of Azure AD Premium to securely authenticate users and worked on creating custom Azure templates for quick deployments and advanced PowerShell scripting.

Worked as Cloud administrator on Microsoft Azure, involved in configuring virtual machines, storage accounts, resource groups.

Built automation scripts using Shell scripting to streamline deployments, validations, log checks, and environment provisioning.

MLOps & DevOps Engineer specializing in architecting and automating scalable, cloud-native infrastructures on AWS, Azure, and GCP to enable real-time data pipelines, CI/CD deployments, and end-to-end machine learning workflows

Maintained YAML-based configuration files for Kubernetes deployments, Helm charts, and CI/CD pipeline definitions.

Skilled in integrating secure, compliant, and observable infrastructure across healthcare-focused AI platforms while partnering with cross-functional teams to support enterprise cloud modernization and scalable MLOps initiatives.

Creation of Prometheus-Grafana setup using Terraform/Ansible for various targets like MySQL, node exporters, etc., and deployed multiple dashboards for individual applications in Kubernetes.

Maintained Kubernetes manifests, Helm charts, and EKS configurations to ensure compliant, standardized releases across environments.

Skilled in building and optimizing Kafka-based real-time data systems, API-driven integrations, and event-oriented platforms for high-availability environments.

Performed SQL query tuning, data validation tasks, and created structured queries to support application debugging and operational reporting.

Worked with the Jenkins Pipelines to put all the workable tasks in the continuous deployment.

Implemented a Continuous Delivery pipeline with Docker, Jenkins, and GitHub. Responsible for supporting various Java builds and Jenkins plugins to automate continuous builds and publishing Docker Images to the Nexus Repository.

Environment: Jenkins and GitHub, (AWS), Microsoft Azure, MySQL, Ansible, Puppet, ArgoCD, Terraform, Prometheus, Grafana, Docker, Kubernetes, Elasticsearch, Python,

Client: Wells Fargo, India Jul 2022 – Nov 2023

Role: DevOps Engineer

Responsibilities:

Configured Azure cloud services, Azure storage, Azure active directory, Azure Service Bus. Created and managed Azure AD tenants and configured application integration with Azure AD.

Skilled in iOS build automation using Fastlane, Airwatch, Firebase, and Appium, with strong expertise in unit testing frameworks such as NUnit, XUnit, and Groovy-based scripting for CI/CD pipelines.

Proven ability to collaborate with technical team to implement resilient infrastructure, enforce best practices, and drive efficient CI/CD and automation strategies.

Worked with AWS services and EKS environments, supporting containerized deployments and performing cluster-level troubleshooting.

Proficient in GCP, C#, and monitoring tools like New Relic to support high-performance applications, optimize infrastructure, and maintain end-to-end observability.

Proven ability to translate complex requirements into actionable engineering specifications, ensuring reliable, secure, and high-performance.

ML operations Investigate third-party software systems with existing software systems for solutions and install various third-party software’s.

MLOps & DevOps Engineer experienced in creating and refining technical specifications for scalable ML pipelines, cloud-native solutions, and automated deployment workflows.

Provisioned Azure recourses like SQL Database, Web App, Storage Account, Redis Cache, Virtual Machine, IoT Hub, and HDInsight using Azure Resource Manager (ARM).

Skilled in implementing CI/CD automation, containerized architectures, and robust infrastructure supporting data-driven and model-serving environments.

Configured Kubernetes objects such as deployments, services, config maps, and ingress resources for EKS-hosted applications.

Skilled in integrating secure, compliant, and observable infrastructure across healthcare ecosystems while supporting cross-functional teams in West Loop/Loop–based AI initiatives and enterprise cloud modernization efforts.

Automating in Azure for creation of subscription, Storage Account and tables using Windows PowerShell.

Generated scripts for effective integration of JIRA applications with other tools.

Developed ansible playbooks for Alert logic configuration, AWS Cloud Watch.

Environment: JIRA, SQL & MySQL Database, Unix/Linux, Python scripting, Git version Control, AWS Cloud watch, GIT HUB, Maven, Chef, Jenkins, Azure, Terraform, Docker.

Client: Zensar Technologies, Hyderabad, India Mar 2018-June 2022

Role: DevOps Engineer

Responsibilities:

Experienced MLOps/Senior DevOps Engineer with strong background in architecting and automating cloud-native infrastructure to support AI and healthcare platforms, ensuring high reliability, scalability, and compliance.

Created and managed AWS services like IAM, EC2, VPC, S3, EBS, ELB, ECS, ECR

Routing Protocols (RIP, RIP V2, IGRP, EIGRP, OSPF), Virtual LANs, LAN, WAN and Ethernet. Frame Relay, ISDN, PPP, HDLC, Network Troubleshooting using CLI Show commands, PING, Trace Route, Telnet.

Azure SDKs and libraries are available for .NET Core developers to facilitate seamless integration with Azure services.

Proven expertise in building ML model deployment pipelines, enabling efficient data processing, model versioning, CI/CD automation, and Kubernetes-based orchestration for production AI workloads.

Used ANT and MAVEN as a build tools on java projects for the development of build artifacts on the source code.

Assisted in installation of various CI/CD tools like Jenkins, puppet, ansible, docker and terraform.

Scripted Powershell reports to check for user account audit compliance.

Environment: .Net, Git, SVN, Ant, Maven, Jenkins, Redhat, Centos, VMware ESX, AWS, Ansible, Docker, LDAP Active Directory, Splunk, Tomcat, PowerShell, Snyk and Trivy.

EDUCATION:

Master’s degree in management information systems Lamar University Jan 2024-May 2025

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