Devops Engineer Azure
Resume:
Gopi Krishna Marka
***************@*****.*** LinkedIn Portfolio
Highly focused and certified Azure DevOps Engineer with 5+ years of hands-on experience in designing, automating, and securing scalable cloud infrastructure and robust CI/CD pipelines. Proven expertise across AWS and Azure environments, holding the AWS DevOps Engineer Professional and Azure DevOps Engineer Expert certifications. Proficient in Infrastructure as Code (IaC) Using Terraform, Ansible, CloudFormation, and ARM Templates. Demonstrated ability to drive digital transformation initiatives, enhance system security via DevSecOps practices like Azure Defender and SonarQube and improve software delivery efficiency by up to 30% through advanced automation and container orchestration technologies like Kubernetes (AKS, EKS) and Docker.
WORK EXPERIENCE
Tesla Sep 2024 - Present
Azure DevOps Engineer Austin, Texas, USA
Tesla is an innovative electric vehicle and clean energy company that designs, manufactures, and sells EVs, battery storage systems, and solar energy products worldwide. As an Azure DevOps Engineer, I improved CI/CD pipelines, managed cloud infrastructure using IaC tools like Terraform, and implemented scalable solutions using Azure services such as AKS, Azure DevOps, and ARM templates to streamline software delivery.
•Engineered and automated the migration of on-premises manufacturing applications to Azure Cloud using ARM templates, ensuring seamless deployment and an estimated 25% improvement in application scalability.
•Improved CI/CD pipeline efficiency by 40% by designing and maintaining Continuous Integration pipelines using Azure DevOps with YAML scripting, standardizing deployment workflows for consistency across Azure Kubernetes Services (AKS).
•Provisioned and managed complex, secure network infrastructure (Azure Virtual Networks, Subnets, VM Scale Sets, Load Balancers, and NAT rules) using Terraform templates, utilizing Terraform Graph for execution plan visualization.
•Secured the DevOps lifecycle by integrating Azure Security Center, Azure Policy, and Azure Defender into pipelines, automating compliance checks and vulnerability assessments to maintain a 99.9% security compliance rate.
•Built a robust Azure Disaster Recovery Environment from scratch, configuring Azure Recovery Vault and Azure Backups with PowerShell scripts to guarantee high availability and 99.99% business continuity for critical applications.
•Configured and deployed Azure AD Connect with ADFS for Single Sign-On (SSO) authentication, strengthening security and user access management for over 1,000 users.
•Deployed microservices on AKS with an Ingress API Gateway, integrating databases like MySQL, SQL Databases, and Cosmos DB, and configuring Nginx for reverse proxy and SSL/TLS encryption.
•Automated infrastructure provisioning and management by developing Azure Automation scripts with PowerShell and Azure CLI, resulting in a 30% reduction in manual intervention.
•Established proactive alerting mechanisms by integrating Azure Monitor, Log Analytics, and Application Insights for real-time tracking of cloud resources and application health.
Comerica Incorporated Feb 2024 - Aug 2024
AWS DevOps Engineer Dallas, Texas, USA
Comerica Incorporated is a diversified financial services company providing commercial banking, retail banking, wealth management, and treasury services. As an AWS DevOps Engineer, I managed CI/CD pipelines, automated infrastructure with CloudFormation and Terraform, and used Amazon EC2, S3, RDS, and DynamoDB for scalable application deployments and data management. I also implemented AWS Lambda and CloudWatch for serverless architecture.
•Designed and implemented CI/CD pipelines using GitHub, Jenkins, Docker, and AWS CodePipeline to streamline build, test, and deployment processes in a high-security financial environment, resulting in a 20% faster time-to-market.
•Automated cost management by scheduling auto start/stop of over 50+ AWS resources via Ansible Playbooks triggered through Jenkins, monitored with AWS Config, CloudWatch, and CloudTrail.
•Managed scalable infrastructure leveraging AWS services (EC2, VPC, EBS, RDS, S3), utilizing Elastic Load Balancers (ELB) and Auto Scaling to maintain 99.99% application high availability.
•Developed and deployed AWS Lambda functions for event-driven tasks, integrated with AWS API Gateway for RESTful application invocations, advancing the adoption of serverless architecture.
•Implemented robust security by configuring strict AWS IAM policies, roles, and MFA authentication, and enforced encryption with AWS KMS and SSL/TLS protocols for data protection.
•Managed and optimized RDS instances with automated backups to S3 and optimized query performance in Amazon Redshift using Python-based data validations.
•Containerized applications using Docker, creating and managing Docker images with Nginx load balancing to enhance the scalability and portability of banking solutions.
•Deployed and scaled applications using AWS Elastic Beanstalk and designed auto-scaling architectures, integrating CloudFront for optimized, low-latency performance.
•Automated provisioning and deployment on EC2 instances using Ansible, AWS CLI, Python, and CloudFormation templates, accel- erating IaC management.
Ford Motor Nov 2021 - Jul 2023
DevOps Engineer Chennai, India
Ford Motor Company is a global leader in automotive manufacturing and mobility solutions, using advanced technology to drive innovation. As a DevOps Engineer, I implemented CI/CD pipelines using Jenkins, GitHub Actions, and Kubernetes, ensuring seam- less application delivery and scalability. Leveraging Azure, Terraform, Docker, and Ansible, I improved cloud-native environments, auto-mated infrastructure provisioning, to support Ford's digital transformation initiatives.
•Spearheaded the implementation of CI/CD pipelines using Jenkins, GitHub Actions, and Kubernetes, ensuring seamless and scalable application delivery for critical internal systems.
•Managed configuration for over 100 Azure Virtual Machines by designing and implementing Ansible manifests, profiles, and roles, enhancing automation and streamlining system operations.
•Automated infrastructure provisioning on Azure using Terraform and Azure Terraform modules, achieving version-controlled and reliable infrastructure management.
•Managed Kubernetes charts with Helm for reproducible builds and controlled releases of applications, ensuring consistency across development and production environments.
•Designed and implemented a robust Ingestion Framework solution using Azure Data Factory, Azure SQL Database, and Data Warehouse to streamline data processing and storage efficiency.
•Containerized and managed applications using Docker and Kubernetes, troubleshooting platform components across Cloud Foundry, OpenShift, and Kubernetes for large-scale applications.
•Automated continuous delivery using Jenkins integrated with Python scripts for GIT administration, automating the full cycle of deployment to Tomcat application servers via shell scripts.
•Supported the containerization strategy by managing Docker Swarm, creating custom Docker Slave Nodes for Jenkins to ensure efficient and scalable container management.
Deutsche Bank Jun 2019 - Oct 2021
Cloud Engineer Chennai, India
Deutsche Bank, a leading global investment banking firm, uses cloud technologies to drive digital transformation. As a Cloud Engineer, I designed and managed scalable cloud infrastructures on AWS, using tools like Terraform, Kubernetes, and Ansible. Worked with databases such as Oracle, PostgreSQL, and Amazon RDS to ensure dependable.
•Automated the provisioning and deployment of cloud infrastructure by developing and implementing AWS Code Pipeline using CloudFormation JSON templates and Terraform (IaC), leading to a 15% reduction in deployment time.
•Designed and managed custom AWS CloudFormation templates to create and manage core networking components (VPCs, subnets, NAT gateways) and databases, ensuring high availability.
•Enhanced CI/CD processes by configuring AWS Lambda to automate actions triggered by Jenkins builds, storing build artifacts efficiently in AWS S3 buckets.
•Established automated testing and deployment pipelines using Jenkins, deploying microservices to the Docker registry and managing Container Replicas across Kubernetes clusters.
•Implemented Prometheus and Grafana for real-time monitoring, enabling the storage and visualization of metrics to proactively identify and resolve performance issues.
•Automated application deployment via Docker containers using AWS Elastic Container Service (ECS), significantly reducing manual intervention and improving consistency.
•Secured network access by configuring Security Groups and Network ACLs and ensuring AWS root account security to comply with financial industry best practices.
CERTIFICATIONS
•Aws DevOps Engineer Professional
•Azure DevOps Engineer Expert
•Docker from Cognitive.
•Python from Cognitive.
EDUCATION
University of Illinois Springfield, Illinois, USA
Masters, management information system
TECHNICAL SKILLS
•Cloud Platforms: AWS (EC2, S3, RDS, Lambda, ECS, EKS, CloudFormation), Microsoft Azure (Azure DevOps, Virtual Machines, Blob Storage, Functions, AKS), Google Cloud Platform (GCP)
•Containerization And Orchestration: Docker, Kubernetes (EKS, AKS, GKE), Helm Charts
•Infrastructure As Code (IaC): Terraform, AWS CloudFormation, Pulumi, ARM Templates
•CI/CD Tools: Jenkins, GitLab CI/CD, Azure DevOps Pipelines, GitHub Actions, Bamboo
•Version Control Systems: Git (GitHub, GitLab, Bitbucket), SVN
•Configuration Management: Ansible, Puppet, Chef
•Scripting And Automation: Python, Bash, PowerShell, Groovy, Java
•Monitoring And Logging: Prometheus, Grafana, ELK Stack, Datadog, Splunk, AWS CloudWatch, Azure Monitor & Log Analytic Vector, AlertManager, Dynatrace
•Networking And Security: VPC, Subnets, Security Groups, Load Balancers, DNS, CDN, Firewall, VPNs, IAM, KMS, Secrets Manager
•Database Management: MySQL, PostgreSQL, SQL Server, DynamoDB, Cosmos DB, MongoDB, Redshift, Big Query
•Build And Artifact Management: Maven, Gradle, Nexus Repository, Artifactory
•Security & DevSecOps: SonarQube, Snyk, Check Marx, Aqua Security, Hashi Corp Vault, Azure Defender, Azure Policy, AWS KMS, IAM
•Cloud Automation And Serverless: AWS Lambda, Azure Logic Apps, Step Functions, Cloud Automation Scripts
•Workflow Orchestration: Apache Airflow, AWS Step Functions, Azure Data Factory
•Project Management And Collaboration: Jira, Confluence, Trello, Slack
•AI & GenAI Tools: ChatGPT, GitHub Copilot, Gemini API Integration, AI-powered CLI Tools, Internal AI Chatbot Development
•Other Tools And Technologies: Apache Kafka, RabbitMQ, Nginx/Apache, Hashi Corp Vault, Linux, Unix, state management, production support
Austin Tx
PROFILE OVERVIEW
Aug 2023 - Dec 2024
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