Devops Engineer Configuration Management

PRADEEP VENKATA

Contact No: +1-979-***-**** Gmail: **************.*******@*****.***

LinkedIn: https://www.linkedin.com/in/venkatapradeep-41b0bb283/

PROFESSIONAL SUMMARY

•Experienced DevOps Engineer with 5 plus years in Azure, AWS, CI/CD, IaC (Terraform, Ansible), Kubernetes and monitoring tools (Grafana, ELK Stack, CloudWatch). Specializes in designing scalable, secure infrastructures, automating workflows and driving multi-cloud strategies to enhance performance and reliability.

•Extensive experience in cloud platforms including Azure, AWS, and GCP with expertise in IaaS, PaaS and SaaS services. Skilled in architecting scalable, reliable and cost-effective solutions using tools like AWS Well-Architected Framework and Azure Advisor.

•Proficient in Infrastructure as Code (IaC) using Terraform, CloudFormation, ARM templates, as well as Pulumi, to streamline resource provisioning and management in multi-cloud environments.

•Advanced skills in configuration management and containerization tools, including Ansible, Docker, Chef, Puppet and Salt. Experienced in creating robust Ansible playbooks, roles and leveraging Docker Compose for multi-container applications.

•Expertise in Terraform Enterprise for team-based workflows and policy management while provisioning infrastructure in AWS, Azure and GCP.

•Deep understanding of Agile and DevOps methodologies with experience fostering collaboration and automating processes for continuous delivery and integration using tools like GitLab CI/CD and Azure DevOps.

•Comprehensive CI/CD expertise, including configuring Jenkins pipelines, GitHub Actions and CircleCI for seamless application delivery. Experienced in securing Jenkins master/slave configurations and managing plugins.

•Built and deployed CI/CD pipelines utilizing Terraform, Jenkins, GitHub, Ansible, Kubernetes, Helm and GitOps tools such as FluxCD for automated infrastructure and application deployments.

•Proficient in artifact management with JFrog Artifactory, Maven, Nexus and AWS CodeArtifact, as well as version control systems like Git, SVN and Bitbucket.

•Significant Kubernetes experience, managing multi-region clusters with tools like Rancher and OpenShift for container orchestration, ensuring high availability and performance.

•Skilled in Kubernetes observability and logging tools, including Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana) and Loki, for real-time monitoring, alerting and troubleshooting.

•Expertise in deploying Kubernetes applications using ArgoCD and FluxCD to simplify GitOps practices and streamline operational workflows.

•Designed and implemented end-to-end monitoring systems integrating Prometheus, Grafana, Splunk, New Relic and AppDynamics to provide actionable insights into performance and health.

•Automated Kubernetes deployment testing and validation processes using Python scripts and tools like Kubeval, KubeScore and Helm Test.

•Experience managing Apache Tomcat, NGINX and Splunk deployments across staging and production environments, ensuring seamless operations.

•Expertise in Kafka and RabbitMQ for fault-tolerant data streaming, building scalable pipelines for real-time processing and analytics.

•Strong skills in server hardening, security policy implementation and disaster recovery planning, leveraging tools like CIS Benchmarks and OpenSCAP to ensure system integrity.

•Adept in bug tracking and issue resolution using JIRA, Remedy, TestNG and JUnit to streamline workflows and enhance code quality.

•Proficient in database management with hands-on experience in Cassandra (NoSQL), PostgreSQL, MySQL and SQL Server, alongside application servers like WebLogic and WebSphere.

•Implemented robust security measures with Prisma Cloud, Twistlock, OWASP ZAP, Aqua Security and Checkmarx to ensure application security throughout SDLC stages.

•Integrated advanced security practices into CI/CD pipelines, including Vault for secret management, IAM policy configuration and compliance monitoring using AWS GuardDuty, Azure Security Center, GCP Security Command Center and Nessus.

•Familiar with SDLC methodologies, including Agile, Scrum and Kanban, with comprehensive exposure to phases such as analysis, planning, design, development, testing and implementation.

•Exceptional interpersonal and leadership skills, excelling in both independent and team-driven environments, with a focus on delivering innovative, high-quality and scalable solutions.

TECHNICAL SKILLS

Cloud and Infrastructure

: AWS, GCP, Microsoft Azure, Terraform, CloudFormation, Google Deployment Manager, Azure ARM Templates

Web/Application Servers

: Tomcat, WebLogic, WebSphere, Apache HTTPD, NGINX, JBOSS

CI/CD & DevOps

: Jenkins, GitLab, Bamboo, GitHub Actions, Tekton, Argo Workflow, Azure DevOps, AWS CodePipeline

Scripting & Programming

: Bash/Shell, Perl, Groovy, Python, HCL, YAML, JSON, Java, Golang, HTML

Containerization & Orchestration

: Docker, AWS Fargate, containerd, PodMan, Kubernetes, GKE, EKS, AKS, OpenShift

Monitoring & Management

: Prometheus, CloudWatch, Nagios, Grafana, Splunk, Datadog, Dynatrace, New Relic, Confluence, SharePoint, Microsoft Loop

Artifact & Version Control

: Nexus, JFrog, AWS CodeArtifact, ECR, GCR, ACR, Red Hat Quay, Git, GitLab, GitHub, Bitbucket, Subversion, Perforce, TFS

Database & Networking

: MySQL, SQL Server, Sybase, Oracle, PostgreSQL, Redshift, DynamoDB, DNS, Telnet, LDAP, TCP/IP, FTP, HTTP, HTTPS, SSH, SFTP, SCP, SMTP, WAN

Security & Secrets Management

: HashiCorp Vault, AWS Secrets Manager, Azure Key Vault, SonarQube, Coverity, Pylint, TerraScan

Operating Systems & SDLC

: Linux, Unix, RHEL, CentOS, Ubuntu, Windows, Agile, Scrum, Waterfall, SDLC

EXPERIENCE

CVS Health, Texas Sept 2023 - Till Date

DevOps Engineer

Responsibilities:

•Designed and implemented hybrid cloud solutions, seamlessly integrating AWS, Azure and on-premises infrastructure to ensure connectivity, scalability and data integrity across diverse environments.

•Architected and maintained scalable AWS infrastructure, leveraging services like EC2, S3, RDS, Lambda, CloudFormation, ECS and EKS to meet complex business requirements.

•Configured and optimized Azure VNet, DNS, and API Gateways to streamline cloud-to-cloud and on-premises communication, enhancing network stability by 24.5%.

•Implemented Azure Network Security Groups (NSGs) and Azure Firewall, reducing security threats by 38% through regular security assessments, scripting, and adoption of cloud security best practices.

•Deployed and managed serverless architectures using AWS Lambda, API Gateway and DynamoDB to enable cost-effective, scalable solutions for event-driven applications.

•Automated infrastructure provisioning and configuration using Terraform, AWS CloudFormation and Azure Resource Manager (ARM) templates, ensuring consistency and operational efficiency.

•Developed automation scripts using Bash and Python to streamline AWS infrastructure management, deployment and monitoring, reducing operational overhead.

•Implemented and managed CI/CD pipelines using AWS CodePipeline, Jenkins, Git, GitLab and Ansible, enabling automated and reliable application delivery.

•Orchestrated containerized applications at scale using Docker and Kubernetes on AWS EKS, optimizing resource utilization, high availability and scalability.

•Designed and managed centralized logging and monitoring solutions using AWS CloudWatch, ELK Stack, Datadog and Splunk to improve visibility, troubleshoot issues and optimize performance.

•Leveraged Amazon RDS and Aurora for relational database management, ensuring high availability, fault tolerance and performance for critical applications.

•Configured AWS S3 lifecycle policies for efficient storage management, data archiving and cost optimization while adhering to compliance requirements.

•Implemented AWS IAM policies and roles, ensuring secure access control and adhering to the principle of least privilege for resources across environments.

•Utilized AWS KMS and Secrets Manager for secure management of encryption keys and application secrets, enhancing cloud security posture.

•Set up auto-scaling and load balancing using AWS Auto Scaling Groups and Application Load Balancers (ALB) to manage traffic and ensure high availability.

•Optimized AWS billing and cost management using tools like AWS Cost Explorer, Reserved Instances and Savings Plans, achieving significant cost savings.

•Configured and maintained private container registries using Amazon Elastic Container Registry (ECR) for secure storage and efficient deployment of Docker images.

•Implemented disaster recovery strategies using AWS Backup, S3 versioning and multi-region architectures to ensure data protection and business continuity.

•Adopted DevSecOps practices by integrating tools like AWS GuardDuty, Security Hub, Inspector and Prisma Cloud for real-time threat detection and compliance monitoring.

•Utilized Amazon CloudFront for content delivery and caching, optimizing performance and reducing latency for global user bases.

•Implemented Amazon SNS and SQS for event-driven messaging and decoupled application components to improve system resilience and scalability.

•Enhanced application performance by configuring AWS ElasticCache (Redis/Memcached) for caching and latency reduction.

•Migrated legacy systems to AWS using tools like AWS Migration Hub, Server Migration Service (SMS) and Database Migration Service (DMS) to ensure minimal downtime and data consistency.

•Collaborated with cross-functional teams to design, deploy and maintain AWS cloud architectures aligned with business objectives and operational requirements.

•Utilized AWS Systems Manager, OpsWorks and CloudFormation Drift Detection for efficient cloud resource management and tracking infrastructure changes.

Environment: AWS (EC2, S3, RDS, Lambda, CloudFormation, EKS, ECS, ECR, IAM, CloudWatch, GuardDuty, Security Hub, Inspector, KMS, SNS, SQS, ElasticCache), Azure (VMs, Blob Storage, SQL Database, Functions, ARM templates), Bash, YAML, HCL, Python, Jenkins, Ansible, Bitbucket, GitLab, Docker, Kubernetes, ELK Stack, Rally, Ubuntu, Terraform, Dockerfiles, PostgreSQL, Tomcat, Datadog, Prisma Cloud, SonarQube, Splunk, Prometheus, Grafana.

Northwinds technology solutions, Texas May 2023 – Sept 2023

DevOps Engineer

Responsibilities:

•Designed and implemented disaster recovery strategies using Azure Site Recovery (ASR) to ensure business continuity for critical healthcare systems.

•Utilized Azure Key Vault to securely manage sensitive credentials and secrets, ensuring compliance with healthcare security standards.

•Integrated Azure Sentinel for advanced threat detection and response, enhancing security monitoring capabilities for healthcare applications.

•Collaborated with the security team to implement DevSecOps practices, including regular security assessments, vulnerability scans and compliance enforcement with HIPAA and other healthcare regulations.

•Automated system tasks using Shell scripting, managing configurations with JSON and HCL to streamline operations.

•Implemented Infrastructure as Code (IaC) using Terraform and Azure Resource Manager (ARM) templates, ensuring consistent, scalable and efficient deployments on Azure.

•Developed and managed CI/CD pipelines with Jenkins and Groovy scripting, enabling rapid, high-quality deployments for healthcare applications.

•Built Azure DevOps pipelines for automated testing, deployment and continuous integration of mission-critical healthcare systems.

•Applied GitOps methodologies using ArgoCD for Kubernetes, enabling version-controlled, declarative deployments to enhance reliability and scalability.

•Optimized healthcare service performance with Azure Load Balancer, ensuring efficient traffic distribution and high availability.

•Proficient in configuration management using Chef, maintaining consistency and scalability across diverse healthcare environments.

•Containerized healthcare applications using Docker and Azure Kubernetes Service (AKS) for seamless, scalable deployments.

•Implemented monitoring and visualization solutions with Prometheus and Grafana, improving operational efficiency and actionable insights for healthcare systems.

•Skilled in project management tools like JIRA, facilitating collaboration and managing Agile workflows across cross-functional teams.

•Managed relational databases using SQL, ensuring efficient data storage, retrieval and analysis for healthcare applications.

•Optimized healthcare application delivery by managing web servers like NGINX, improving performance and reliability.

•Secured Docker images using Azure Container Registry, ensuring the reliability and availability of healthcare application deployments.

•Implemented Azure Policy and Azure Security Center to enforce compliance standards and strengthen the security posture of healthcare applications.

•Deployed and managed containerized workloads using Google Kubernetes Engine (GKE) alongside AKS, leveraging multi-cloud architectures for enhanced scalability and fault tolerance. Projects leveraged Azure and Google Cloud to combine the strengths of both platforms, ensuring seamless integration and operational excellence.

•Utilized Google Cloud Build to automate build, test and deployment workflows, ensuring rapid and reliable application delivery on GCP.

•Leveraged Google Cloud Storage and BigQuery for efficient data storage, analytics and reporting, providing actionable insights for healthcare systems.

•Applied Identity and Access Management (IAM) policies on GCP to enforce secure access control and least privilege principles.

•Monitored and logged healthcare services using Google Stackdriver, enabling real-time insights into performance and availability.

•Deployed GCP Pub/Sub for asynchronous messaging, ensuring reliable and scalable communication between microservices.

•Adopted Terraform for GCP resource management, provisioning scalable and consistent infrastructure across multi-cloud environments.

•Integrated GCP Cloud Functions for serverless execution of event-driven tasks, improving efficiency and reducing operational costs.

•Enhanced networking performance using GCP Load Balancer, ensuring improved availability and scalability of healthcare applications.

•Ensured compliance and security using GCP Security Command Center, conducting audits and proactive threat management.

Environment: Azure (Site Recovery, Key Vault, Sentinel, AKS, ARM Templates, DevOps, Security Center), GCP (GKE, Cloud Build, Pub/Sub, BigQuery, Cloud Storage, IAM, Stackdriver), Terraform, Jenkins, Groovy, Argo CD, Chef, Docker, Prometheus, Grafana, JIRA, SQL, NGINX, ELK Stack, Shell Scripting, JSON, HCL.

Winvest Technology Consultancy Services Pvt. Ltd, India July 2018 – May 2021

Cloud Engineer

Responsibilities:

•Developed and managed a multi-tenant microservices application, packaged as Docker containers and deployed on AWS ECS, ensuring scalability, reliability and optimal resource utilization.

•Automated application deployment and management using Jenkins, creating a seamless CI/CD process for efficient updates to AWS environments.

•Set up and maintained the Jenkins Master and worker environment, integrating tools like GitHub Enterprise, SonarQube, Maven, Nexus and JFrog Artifactory to build comprehensive CI/CD pipelines on AWS infrastructure.

•Implemented end-to-end CI/CD pipelines to automate builds, code analysis and deployments to AWS Fargate and on-premises Linux servers, leveraging Shell scripting, YAML, JSON and Groovy.

•Created multi-branch Jenkins pipelines to automate deployments, using webhooks to trigger jobs upon code commits in GitHub. Developed Groovy scripts to optimize pipeline automation and configure periodic builds with notification alerts for build status.

•Authored Jenkins files for advanced automation tasks, including provisioning AWS EC2 instances, server patching, LDAP configuration and implementing DUO multi-factor authentication. Integrated AWS CloudWatch for automated alarms and real-time monitoring.

•Managed GitHub Enterprise repositories, implementing best practices like branching strategies, merging and tagging for efficient release management.

•Migrated codebases from Azure DevOps to GitHub, ensuring smooth transitions while maintaining repository integrity.

•Deployed microservices on AWS ECS using CI/CD pipelines, ensuring streamlined and efficient application updates.

•Worked extensively with Kubernetes on AWS EKS, gaining hands-on experience with networking, volume mounts, persistent volumes and sidecar deployments for robust container orchestration.

•Troubleshot and resolved build issues by leveraging strong debugging skills, analyzing logs, error messages and other data sources to identify root causes efficiently within AWS environments.

•Automated infrastructure provisioning and configuration using Ansible, authoring playbooks to implement Infrastructure as Code (IaC) principles for AWS resources.

•Facilitated auto-scaling and zero-downtime updates on AWS ECS and AWS Auto Scaling Groups, enabling seamless scaling and continuous integration of applications.

•Served as an escalation point for production and lower environments, addressing platform issues on AWS infrastructure and ensuring rapid resolution of critical incidents.

•Ensured application health through lifecycle-oriented processes, including proactive monitoring, logging and troubleshooting, following Agile Scrum methodologies within AWS environments.

•Deployed new releases for both vendor and in-house applications using CI/CD principles, leveraging Bitbucket, Git, Jenkins (CloudBees) and JFrog Artifactory.

•Implemented best practices for Git repositories, including branching strategies, tagging and access control, ensuring a well-organized version control system.

•Developed automation scripts in YAML, Python and Shell scripting to enhance Ansible playbooks for seamless infrastructure provisioning and configuration of AWS services.

•Collaborated with testing teams to integrate regression testing automation using Selenium, improving testing efficiency and accuracy for AWS-hosted applications.

•Conducted performance testing and Proof of Concepts (POCs), continuously refining and upgrading technologies to the latest releases on AWS, ensuring optimal application performance from development to production.

•Enhanced system observability and logging with AWS CloudWatch, ELK Stack (Elasticsearch, Logstash, Kibana) and Grafana, providing actionable insights and optimizing system health.

•Introduced AWS CodePipeline and ArgoCD for streamlined deployment workflows, further automating CI/CD processes on AWS infrastructure.

Environment: Unix/Linux, AWS (ECS, EKS, Fargate, EC2, CloudWatch, CodePipeline, Auto Scaling Groups), Jenkins (Groovy, Pipelines), Docker, Kubernetes, Ansible, Chef, Python, Shell Scripting, Ruby, SonarQube, Maven, GitHub Enterprise, Git, Bitbucket, Bamboo, Perforce, JIRA, Splunk, Grafana, ELK Stack, WebLogic, WebSphere, Tomcat, JBoss, Cassandra, SQL Server, LDAP, DNS, DUO MFA, ArgoCD and Subversion.

Propel Technologies Inc, India June 2017 – July 2018

Linux System Administrator

Responsibilities:

•Created Views and Streams to align with development requirements, ensuring proper integration with version control systems.

•Acted as a Release Engineer, coordinating with various development teams to manage multiple simultaneous software releases.

•Executed builds and deployments using BuildForge and TeamCity, ensuring seamless integration and delivery processes.

•Analyzed and resolved build failures to maintain smooth operations and minimize downtime.

•Monitored UAT/Production environments, addressing downtime issues by regularly updating Cron jobs on servers.

•Executed scripts to apply property changes across IST and QA environments, maintaining configuration consistency.

•Managed software baselines, code merges, branch creation and labeling using Subversion and Git, facilitating a smooth migration from Subversion to Git.

•Provided support for bi-weekly releases, ensuring timely and efficient deployments while adhering to schedules.

•Delivered day-to-day Git support for automation code and configuration management, ensuring repository integrity.

•Planned and executed system upgrades and migrations across hybrid environments, reducing downtime by 90% and ensuring seamless service transitions to new hardware, VMware, Windows Hyper-V, and VirtualBox environments.

•Worked closely with cross-functional teams to develop and deploy healthcare applications, specifically focused on claims processing, ensuring alignment with business needs and technical goals.

•Played a key role in automating the deployment pipeline for claims management systems, leveraging CI/CD processes to enhance the speed and reliability of claims-related software releases.

•Collaborated with the claims management team to define, prioritize, and implement solutions that improve the efficiency and scalability of the claims processing system within the ART framework.

•Contributed to designing zero-downtime deployment strategies for claims systems, ensuring uninterrupted service and minimal disruption during the deployment of critical updates or new features.

•Administered Linux servers and containerized applications using Docker, achieving 99.9% uptime and optimizing performance for both on-premises and virtualized environments.

•Actively participated in the ART process, resolving performance issues, monitoring claims application health, and ensuring high availability of claims processing systems across environments.

•Collaborated with team members to implement and release changes across various environments, maintaining project continuity.

•Set up and managed environments for testing purposes, ensuring availability and reliability during development cycles.

•Maintained adherence to SLAs and resolved production issues promptly, ensuring system reliability and availability.

•Monitored and managed backup processes, including scheduling and tracking backup logs, to safeguard data integrity.

•Automated routine tasks with Bash, PowerShell, and Python scripts, increasing efficiency by 25% and reducing manual errors by 30%.

•Developed Maven scripts to automate builds and migrated projects from Ant to Maven, improving build efficiency.

•Conducted server maintenance tasks such as disk space checks and backup tape labeling to ensure infrastructure stability.

•Administered Jenkins/Hudson to manage CI/CD pipelines for next-generation applications, streamlining development workflows.

•Mentored business teams on Perforce branching, merging strategies and best practices to enhance version control management.

•Partnered with team members to automate release components, improving efficiency and reducing manual effort.

•Monitored and handled thousands of daily alerts, promptly notifying relevant teams for resolution and minimizing impact.

•Configured network settings and resolved connectivity issues in cloud and on-premises infrastructures, improving network stability by 25% and reducing troubleshooting time by 32%.

•Designed and implemented API Gateways for seamless integration between cloud-based microservices and legacy systems, improving data flow efficiency by 22%.

Environment: Hudson, Jira, TeamCity, Ant, maven, Unix, ShellScripting, VMware, Windows Hyper-V, VirtualBox, SVN, CronJobs, Perforce, Confluence, Microservices, Bash, PowerShell, Python Scripts, Linux servers, Docker.

EDUCATION

•University of Central Missouri, Warrensburg, MO, Master of Science in Computer Science 2023

•Jawaharlal Nehru Technological University, Hyderabad, India, Bachelor’s in Mechanical Engineering, 2016

CERTIFICATIONS

•Microsoft Certified Azure DevOps Engineer – Expert (AZ-400)

•Microsoft Certified Azure Administrator – Associate (AZ-104)

•AWS Certified Solutions Architect – Associate

•LinkedIn Certified Azure Essential Training for Developers

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