DevOps Engineer - AWS, Kubernetes, Terraform Expert

Manoj Koppineedi

380-***-**** *****************@*****.*** LinkedIn

Experienced DevOps Engineer with 6+ years of hands-on experience in cloud infrastructure, CI/CD automation, and large-scale distributed system management across AWS (S3, EC2, VPC, EKS, ECS, CloudWatch, IAM) and Azure. Skilled in building DevOps foundations, architecting scalable cloud- native applications, and integrating modern ML-driven systems. Expertise includes containerization with Docker and Kubernetes, Infrastructure as Code using Terraform and ARM templates, and GitOps workflows with Argo CD. Adept at optimizing high-traffic workloads, implementing microservices architectures, and enhancing reliability through robust monitoring frameworks such as Prometheus, Grafana, ELK, and Azure Monitor. Experienced with cloud data warehousing platforms including Snowflake, Redshift, and BigQuery, supporting data-intensive and analytics-driven environments. Strong background in performance tuning, security best practices, and incident management using Ticketing systems, with a proven track record of delivering automated, cost-efficient, and enterprise-grade DevOps solutions. PROFESSIONAL SUMMARY

6+ years of experience in DevOps, Cloud, and Build & Release Engineering, specializing in scalable and distributed system architectures. Expert in Azure and AWS cloud platforms with end-to-end deployment, including AWS EKS, EC2, RDS, and Azure AKS. Strong in CI/CD using Azure DevOps, Jenkins, GitHub Actions, GitLab CI, and MSBuild, supporting high-traffic and enterprise-grade applications. Proficient in IaC using Terraform, ARM templates, CloudFormation, and GitOps workflows with Argo CD. Skilled in Docker, Kubernetes (AKS/EKS), Podman, and Helm for container orchestration and microservices deployment. Experience working with caching and data store technologies such as Redis for high-performance workloads. Implemented monitoring and observability using Prometheus, Grafana, CloudWatch, ELK, Portkey, and Azure Monitor. Automated infrastructure, pipelines, and cloud operations using Python, PowerShell, Bash, and Go. Integrated security using SonarQube, Azure Sentinel, DevSecOps scanning tools, and compliance-driven frameworks. Hands-on with Azure networking, API Management, secure cloud architecture, and enterprise RBAC/IAM configuration. Proven track record leading DevOps transformations, optimizing system performance, and managing large-scale deployments. Experienced in Jenkins Pipeline with Groovy, artifact management, and Nexus Repository integrations. Demonstrated ability to implement CI/CD pipelines for .NET and cloud-native applications using ACR, AKS, and Azure Pipelines. Strong Linux administration skills with experience in Windows Server configurations, patching, and system hardening. Knowledgeable in DNS, SSH, connectivity troubleshooting, and distributed service reliability. Basic understanding of ITIL principles and service management methodologies. Competent in configuring and managing file systems and storage architectures. Experience with cloud data warehousing and analytics platforms such as Snowflake, BigQuery, and Redshift. Strong incident management and root cause analysis skills, ensuring reliability in production environments. Familiar with cloud cost optimization, performance engineering, and disaster recovery planning TECHNICAL SKILLS

Operating Systems Redhat Linux 6, 7

Automation Tools ARM Templates, Azure Devops, Terraform CI CD Tools Github actions, Jenkins

Build Tools Gradle, Maven, MS Build

Version Control Tools Azure Repos, GIT, Bit Bucket Monitoring Tool Azure Monitor, Cloud Watch, Prometheus, Sentinel Cloud Environment Azure and AWS

Scripting Languages Powershell, Python, Shell scripting Database Cosmos DB, Mongodb, Mysql, Postgress

Cloud Data Warehousing / Analytics BigQuery, Redshift, Snowflake Virtualization VMWare

Ticketing Systems Azure Boards, Jira, Service Now, Ticketing Containerization Docker, EKS, ECS, Kubernetes

Cloud Services CloudFormation, CloudWatch, EC2, IAM, S3, VPC EXPERIENCE

CVS Health

Azure DevOps Engineer

Minneapolis, MN

Jan 2024 - Present

Designed and automated CI/CD pipelines using Azure DevOps, Azure Pipelines, and Azure Deployment Center, ensuring seamless code integration, testing, and deployment across multiple environments with enhanced monitoring. Architected scalable storage solutions on Azure Blob Storage, optimizing data retrieval performance, cost efficiency, and backup strategies for long-term data management using lifecycle policies.

Implemented auto-scaling policies for Azure Virtual Machines (VMs) and Azure Scale Sets, ensuring applications remain performant and cost-optimized under varying workloads leveraging CloudWatch metrics. Managed and orchestrated containerized workloads using Azure Kubernetes Service (AKS) and Docker, ensuring scalability, high availability, and efficient microservices deployments with EKS integration for hybrid cloud strategies. Designed and deployed scalable virtualized environments using VMware and OpenStack to improve infrastructure resilience and scalability with Terraform for Infrastructure as Code.

Managed and optimized bare-metal Kubernetes clusters, enhancing fault tolerance and performance with custom node scaling solutions. Integrated Kubernetes with virtualized platforms, improving containerized workload performance and resource utilization through advanced scheduling. Enhanced Kubernetes cluster security and performance through effective node management and scaling strategies utilizing IAM roles for granular access.

Enhanced network security by configuring Azure Network Security Groups (NSGs) and Azure Firewall, ensuring secure traffic routing, controlled access, and network segmentation with S3 bucket replication for disaster recovery. Configured Azure Application Gateway and Azure Load Balancer, distributing traffic efficiently and improving application fault tolerance with EC2 instances for high-availability backend services.

Administered and optimized Azure Cosmos DB and Azure SQL Database, fine-tuning performance for high availability, low latency, and cost-effective scaling.

Engineered hybrid cloud networking solutions using Azure ExpressRoute and VPN Gateway, enabling secure communication between cloud and on- premises environments.

Deployed Azure DNS for domain management, traffic routing, and failover configurations, ensuring high availability for critical applications. Integrated Azure Monitor and Application Insights for end-to-end request tracing and performance analysis, improving troubleshooting capabilities for distributed applications.

Built Infrastructure as Code (IaC) using Azure Resource Manager (ARM) templates and Terraform, enabling seamless provisioning, version-controlled infrastructure, and efficient deployments.

Implemented role-based access control (RBAC) with Azure Active Directory (Azure AD) and Azure IAM policies, ensuring secure access management and compliance with organizational policies.

Automated Azure Managed Disk snapshot creation and lifecycle management, improving backup, disaster recovery, and data resilience strategies. Automated infrastructure and cloud operations using Python and Azure Functions, enhancing operational efficiency, error reduction, and deployment consistency.

Designed and deployed encryption strategies using Azure Key Vault, ensuring secure key management and data protection. Collaborated with cross-functional teams to deliver HIPAA-compliant Azure cloud solutions for healthcare applications. Migrated monolithic applications to Azure Kubernetes Service (AKS), enhancing scalability and reducing deployment time. Automated infrastructure provisioning using Terraform and ARM templates, achieving a 30% reduction in cloud spend. Streamlined CI/CD pipelines with Azure DevOps for .NET applications, cutting release cycles from hours to minutes. Integrated Azure Sentinel and Log Analytics to enhance threat detection and incident response for microservices. Optimized Azure Cosmos DB performance for large-scale prescription and patient data workloads. Integrated Snowflake into cloud architecture workflows to support analytics-driven applications and improve data accessibility across distributed teams. Developed automated data ingestion pipelines between Azure services and Snowflake, optimizing performance for largescale healthcare datasets. Implemented monitoring and performance tuning for Snowflake workloads, improving query speed and data pipeline efficiency. Collaborated with analytics and ML teams to streamline data availability using Snowflake, Redshift, and BigQuery-based solutions. Enhanced CI/CD processes to include automated testing, validation, and deployment of Snowflake schema changes and data-related workflows. Implemented auto-scaling policies and Azure Scale Sets to ensure performance under fluctuating healthcare traffic. Supported Agile delivery through sprint-based releases, ensuring rapid feature deployment with zero downtime Implemented centralized logging and real-time monitoring using Azure Log Analytics and Azure Sentinel, enhancing observability and incident response.

Optimized Azure Virtual Network (VNet) configurations and fine-tuned firewall rules, ensuring low latency and secure cloud-to-cloud and on-premises connectivity.

Designed and enforced disaster recovery strategies using Azure Backup and Azure Site Recovery (ASR), optimizing Recovery Time Objectives (RTO) and Recovery Point Objectives (RPO) for critical data. Conducted performance benchmarking and cost analysis for Azure cloud infrastructure, identifying bottlenecks and optimizing service utilization for improved efficiency. Leveraged Agile Scrum methodologies, actively participating in daily stand-ups, sprint planning, retrospectives, and cross-functional collaboration to enhance team productivity.

Environment: Azure (App Service, Functions, DevOps, Load Balancer), AKS, Docker, Prometheus, Microsoft Teams, ARM Templates, SQL Server, Application Gateway, Chef, BitBucket, VPN, Nexus Repository Manager, PowerShell, CI/CD, Agile, Scrum. Sampada

DevOps Engineer

Hyderabad

May 2020 - Aug 2023

Automated application deployments using Jenkins CI/CD pipelines. Managed containerized applications using Docker and orchestrated via Kubernetes. Designed and implemented infrastructure as code (IaC) using Terraform. Maintained and optimized AWS cloud infrastructure components including EC2, S3, RDS, and IAM. Configured Helm charts for efficient Kubernetes deployments. Developed and maintained Ansible playbooks for server provisioning and configuration management. Set up and managed ELK Stack (Elasticsearch, Logstash, Kibana) for centralized logging. Monitored application performance and infrastructure health using Prometheus and Grafana. Integrated SonarQube for code quality analysis into CI/CD pipeline. Ensured security and compliance through regular Vulnerability Assessment & Patch Management. Created and maintained scripts in Python and Shell for automation tasks. Collaborated with developers and QA for continuous integration and delivery improvements. Conducted disaster recovery drills and backups to ensure business continuity. Worked with Bitbucket for source code management and branching strategies. Participated in daily stand-ups, sprint planning, and retrospectives to align DevOps goals with Agile delivery. Designed and managed Kubernetes (EKS) clusters and Dockerized microservices, optimizing resource allocation, scalability, and container orchestration. Integrated AWS Step Functions for serverless workflow automation, improving the efficiency of complex cloud processes and reducing manual intervention.

Leveraged Snowflake for analytics workloads, integrating ETL/ELT pipelines between AWS services and Snowflake to support research and compliance reporting.

Implemented Redis caching to enhance microservices performance and reduce API latency across high-traffic workloads. Adopted GitOps workflows using Argo CD for automated Kubernetes configuration management and consistent cluster state. Designed distributed and fault-tolerant systems using EKS, S3, and event-driven architectures for large-scale pharmaceutical processing. Developed monitoring and alerting dashboards for distributed systems using Prometheus, CloudWatch, and ELK to improve incident response times. Implemented DevSecOps guardrails using automated security scanning, dependency checks, and container image validation pipelines. Optimized data pipelines and workflow execution for ML and analytics teams using Lambda, Step Functions, and S3 event triggers. Developed AWS Lambda functions for event-driven automation, streamlining cloud operations and enhancing system efficiency. Configured AWS CodePipeline and AWS CodeBuild, enabling continuous integration, automated testing, and smooth software delivery. Implemented AWS KMS for data encryption, AWS WAF for web application security, and AWS Shield Advanced for DDoS protection, enhancing cloud security posture.

Designed and enforced data encryption policies, implemented AWSGlacierforlong-term archivalstorage, and optimized disaster recovery strategies. Performed performance tuning and latency reduction for cloud applications, improving response times and overall system efficiency. Designed AWS infrastructure aligned with GxP compliance, ensuring audit readiness for pharmaceutical applications. Implemented CI/CD pipelines using Jenkins and AWS CodePipeline, improving reliability for clinical trial deployments. Deployed and managed Kubernetes (EKS) clusters for containerized pharma workloads, ensuring high availability and scalability. Built secure DevSecOps pipelines with SonarQube, OWASP checks, and compliance gates to meet regulatory standards. Automated AWS Lambda workflows to ingest and process research data, enhancing speed and traceability. Led AWS cost optimization initiatives, reducing infrastructure spend by 25% while maintaining performance SLAs. Supported cross-regional DevOps collaboration to standardize automation practices across global teams. Established IAM federated access and multi-factor authentication (MFA) policies, strengthening identity and access security across cloud resources. Environment: AWS (EC2, S3, Route 53, RDS, DynamoDB, VPC, Direct Connect, VPN, IAM, KMS, WAF, Shield, CloudWatch, XRay, CloudTrail, OpsWorks, Lambda, Step Functions, CodePipeline, CodeBuild, Cod eDeploy, Auto Scaling), EKS, Docker, Jenkins, Terraform, CloudFormation, Selenium, Python, Agile (Scrum), ELK Stack, NACLs, Security Groups. Zoron It solutions

DevOps Engineer

Hyderabad

Jan 2019 - Apr 2020

Design, Build and maintain the CI/CD infrastructure, tools, and processes Design, Develop CI/CD pipelines and automate build deployment process Design, implement, document, and maintain scripts to enhance current build/release processes Coordinate with multiple teams to ensure builds are delivered and deployed on time Manage risks and resolve issues that affect release scope, schedule, and quality Managing the Source code repository administration and version control. Troubleshoot complex technical issues and assist development team as necessary to resolve issues Creation of CI/CD pipeline for continuous Integration and continuous Deployment. Creation of the Projects in Azure DevOps with specified Work items (basic, agile & scrum) and managing them. Adding new teams and members to the project and providing access to them. Deploy various applications into Azure Web apps and Azure VM’s. Managing Organization and project settings to provide necessary permissions. Deploying Virtual Machines using ARM Templates and Terraforms. Deploying the Azure Kubernetes cluster, monitoring and maintaining the Kubernetes. Configuring VNet, Subnets, connect to the azure resources and applying NSG rules. Load Balancer configurations and health probs.

Backup and restore of web applications using Azure Backup server and DPM. Creating and Managing of users and Groups in AAD.

Managing groups, devices, and application access permissions. Creating storage accounts and containers inside them. Creating Virtual machines and installing application over those. Creating disks, disk snapshots in azure and attaching/detaching those to VM’s Creating users and applying IAM access and RBAC roles to them. Creating Azure traffic manager rules and Azure Monitor to monitor the azure services. Environment: Azure,DevOps, PowerShell, VSTS CI/CD, Visualstudio, ServiceNow, Red hat Enterprise Linux, Docker, Kubernetes, Terraform, Ansible, MySQL and VMware.

EDUCATION

Master of Information and Technology Franklin University, Columbus, USA

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