Cloud Infrastructure & DevOps Engineer with AWS Expertise
Resume:
Ram Ancha
AWS DevOps / Cloud Engineer at State Farm Insurance Inc
Austin, Texas Metropolitan Area
Contact: +1-512-***-****
Email: ***.*********@*****.***
LinkedIn: Ram Ancha
Summary
Experienced Cloud Engineer/DevOps Engineer with around 8 years of experience in architecting, deploying, and managing cloud infrastructure using AWS and Azure. Proficient in leveraging a wide array of AWS services to drive efficient and scalable solutions. Expert in containerization, orchestration, and Infrastructure as Code (IaC) with a strong emphasis on Terraform and CloudFormation. Proven track record of developing robust CI/CD pipelines, enhancing security through meticulous network management, and optimizing costs. Experienced in setting up Azure Active Directory and utilizing HashiCorp Vault for secure secret management. Seeking to contribute to a forward-thinking organization by utilizing comprehensive cloud engineering and DevOps expertise. PROFESSIONAL SUMMARY
Cloud Platforms: Expertise in AWS and Azure.
AWS Services: Proficient with MSK, EKS, ECS, EC2, S3, Amazon Connect, EBS, ELB, VPC, IAM, CloudFormation, CloudWatch, Lambda, and EMR.
Containerization and Orchestration: Skilled in Kubernetes, Docker, and container orchestration.
Infrastructure as Code (IaC): Extensive experience with Terraform for provisioning and managing infrastructure.
CI/CD Pipelines: Developed and maintained CI/CD pipelines using Gitlab, Jenkins, and Terraform.
Networking: Configured and managed AWS VPCs, subnets (both public and private), security groups, and NAT gateways.
Programming and Scripting: Proficient in Java, Python, and Shell scripting.
Monitoring and Logging: Experienced with AWS CloudWatch, Datadog, Splunk, and Dynatrace.
Database Management: Hands-on experience with Oracle, SQL Server, DB2, MongoDB, and DynamoDB.
Agile Methodologies: Strong background in Agile and Scrum practices.
Secret Management: Experienced in using HashiCorp Vault and AWS Secrets for secure secret management and storage.
Identity Management: Proficient in setting up and managing Azure Active Directory. EXPERIENCE
State Farm Insurance Inc
AWS DevOps/Cloud Engineer
February 2021 - Present (Remote)
Led large-scale migrations from on-premises to AWS, optimizing performance and cost.
Managed AWS services including MSK for real-time data streaming and EKS for Kubernetes orchestration.
Developed and implemented CI/CD pipelines using GitLab, Terraform, Ansible, and AWS, enabling automated provisioning, configuration management, and application deployment.
Automated infrastructure provisioning and management using Terraform and CloudFormation.
Monitored and debugged cloud-based services using AWS CloudWatch, Datadog, Dynatrace and Splunk.
Created custom AMIs and configured VPCs and subnets for resource isolation.
Managed internal and private subnets to enhance security and optimize network traffic.
Deployed and managed containerized applications using Docker and Kubernetes.
Implemented disaster recovery strategies and conducted cost optimization for AWS services.
Orchestrated big data workflows using AWS EMR, enabling efficient data processing and analytics.
Developed interactive Tableau dashboards integrating AWS CloudWatch, RDS, and EMR data sources to visualize system performance, cost metrics, and operational KPIs, enabling real-time monitoring and executive reporting.
Manipulated Terraform state files, including importing resources to the state file and deleting resources from the state file for business reasons.
Utilized HashiCorp Vault and AWS Secrets for secure management of secrets, tokens, and sensitive data.
Developed and deployed serverless applications using Python and AWS Lambda, streamlining workflows and enhancing scalability for various projects.
Administered and optimized relational databases including Amazon RDS for MySQL, PostgreSQL, and SQL Server, ensuring high availability, security, and efficient query performance.
Led the orchestration, deployment, and scaling of custom web applications and microservices on AWS using Elastic Beanstalk, ECS, and Lambda for optimized performance and cost-efficiency.
Configured and integrated Amazon Connect with AWS Lambda, DynamoDB, and S3 for building serverless, event-driven contact center workflows, enabling real-time call routing, customer data retrieval, and secure call recordings.
Implemented custom Amazon Connect contact flows to integrate with internal CRM and data catalogs, optimizing customer experience with automated call handling, IVR menus, and dynamic routing based on business rules.
Proficient in designing, deploying, and managing AWS networking services including Amazon VPC, VPC endpoints, Route 53, and Direct Connect to optimize connectivity, security, and performance across cloud infrastructure. American Eagle Outfitters Inc.
Cloud Engineer
July 2019 - February 2021 (Pittsburgh, PA)
Configured and managed a variety of AWS services including CloudFront for content delivery, IAM for access control, and Security Groups for network security, ensuring optimal performance, availability, and security for cloud applications.
Automated cloud application deployment pipelines using Terraform integrated with Jenkins, improving the efficiency and reliability of application updates and infrastructure management for AWS environments.
Monitored and maintained production servers using AWS CloudWatch, establishing custom metrics and dashboards to detect performance and optimize system reliability.
Provisioned AWS resources using Terraform and Ansible for configuration management, streamlining infrastructure automation, version control, and compliance checks across environments.
Configured internal and private subnets, improving security and network performance.
Led the migration of legacy on-premises applications to AWS, utilizing services like EC2, RDS, and S3 to enhance scalability, improve system reliability, and reduce on-prem infrastructure costs.
Collaborated with cross-functional teams in an Agile environment, utilizing ServiceNow for incident management and streamlined communication, ensuring rapid issue resolution and minimizing downtime.
Developed and maintained continuous integration and continuous deployment (CI/CD) pipelines for microservices using Jenkins and GitLab, accelerating software delivery while ensuring consistent and reliable code deployments.
Designed and implemented automated monitoring, alerting, and logging systems using Datadog and Splunk to ensure real-time tracking of application and infrastructure health, improving response times to issues.
Developed Python-based automation scripts using AWS Lambda to streamline data processing workflows, reducing manual intervention, increasing operational efficiency, and lowering operational costs across multiple AWS services.
Experienced in using HashiCorp Vault for secure storage and management of application secrets and credentials, integrating it with AWS IAM to enforce strict access controls and enhance data security.
Designed and deployed multi-AZ architectures for Amazon RDS, enabling automatic failover and enhanced availability in case of instance or regional failures, ensuring high uptime for business-critical applications.
Utilized Ansible for configuration management and automation of application environments, improving consistency and reducing manual errors in deployments.
Designed and maintained Tableau dashboards to provide real-time visualization of key metrics from AWS infrastructure and application performance data.
Integrated CI/CD pipelines for custom applications into AWS environments using CodePipeline, Jenkins, and CodeDeploy, ensuring seamless automation, faster delivery cycles, and higher-quality code deployments.
performed cost optimization analysis for AWS resources, implementing strategies such as Reserved Instances, S3 lifecycle policies, and efficient resource scaling, resulting in significant reductions in cloud spending.
PNC
DevOps Engineer
November 2018 - June 2019 (Pittsburgh, PA)
Designed and implemented CI/CD pipelines using Jenkins and GitLab to automate code integration and deployment. Reduced manual intervention and accelerated software delivery cycles.
Configured AWS ELB for traffic distribution, Auto Scaling for resource management, and Security Groups for secure access control. Enhanced application availability and performance
Containerized microservices using Docker and managed deployments with Kubernetes on Amazon EKS. Ensured scalable, resilient application performance across clusters.
Automated build, test, and deployment pipelines using Jenkins and AWS CodePipeline. Improved efficiency, reduced errors, and ensured consistent deployment practices.
Used Terraform for provisioning AWS resources and Ansible for configuration management. Streamlined infrastructure deployment and management, ensuring consistency across environments.
Integrated Tableau with AWS databases to generate real-time operational insights and system health dashboards, enabling proactive infrastructure monitoring.
Optimized EC2 instances, RDS databases, and Auto Scaling settings for better performance. Reduced latency and improved resource utilization for production applications.
Implemented multi-AZ and multi-region architectures for AWS services. Developed disaster recovery plans to ensure system uptime and data durability.
Integrated HashiCorp Vault with AWS IAM for secure secrets management in DevOps pipelines. Enhanced data security by controlling access to sensitive information.
Utilized AWS CloudWatch, Datadog, and ELK stack for real-time monitoring and centralized logging. Set up alarms and automated incident response for rapid issue resolution.
Experienced with Trusted Advisor to identify inefficiencies and optimize cloud spending. Achieved cost savings while maintaining performance and scalability.
Automated security audits using AWS Config and CloudTrail to track changes and ensure compliance. Enabled continuous auditing and reporting for regulatory standards.
Developed serverless applications with AWS Lambda and exposed APIs via API Gateway. Reduced infrastructure overhead and improved scalability for event-driven workloads.
Migrated legacy applications to containers using ECS and ECR for improved scalability and management. Streamlined the deployment process and reduced operational complexity.
Orchestrated Kubernetes clusters using Amazon EKS to manage containerized applications. Automated scaling and deployment, ensuring high availability and performance.
Integrated GitLab CI/CD pipelines with AWS for automated testing and deployment. Enhanced version control and streamlined deployments for microservices.
Configured Auto Scaling Groups and ELB to automatically scale applications based on demand. Optimized performance while reducing costs during periods of low usage.
Automated the provisioning of AWS resources using Terraform, enabling repeatable, consistent infrastructure deployments. Reduced manual errors and accelerated provisioning.
Defined and managed IAM roles and policies for precise access control across AWS resources. Enhanced security and compliance by ensuring least-privilege access. Pfizer
Associate Software Engineer
March 2018 - November 2018 (Groton, CT)
Designed and developed RESTful APIs and microservices, optimizing performance and ensuring seamless integration with external systems.
Participated in code reviews, providing feedback to ensure adherence to coding standards and improving software quality.
Developed unit tests with JUnit and integrated testing frameworks, ensuring code reliability and quality through automated testing.
Assisted in building dynamic front-end UIs with React and Angular, improving user experience and application responsiveness.
Built backend services using Python, and Node.js, focusing on performance optimization and maintainability.
Built and maintained CI/CD pipelines using Jenkins and GitLab, automating integration, testing, and deployment for faster releases.
Worked with development and operations teams to streamline software delivery, improving collaboration and productivity.
Solved complex build/deployment processes throughout all phases of the SDLC.
Integrated automated testing into Jenkins pipelines using tools like Selenium and JUnit, ensuring code quality and reducing manual testing efforts.
Experienced with complex SQL queries and stored procedures for data extraction, manipulation, and reporting, ensuring data consistency and accuracy. Monmouth University
Graduate Assistant
June 2017 - December 2017 (Long Branch, NJ)
Developed Python scripts to automate daily operational tasks, significantly reducing manual intervention and increasing overall team productivity
Supported the integration and continuous deployment of web applications through automated CI/CD pipelines, while optimizing Python code to improve application performance and reduce load times.
Assisted in the development and maintenance of dynamic web applications, using JavaScript for front-end functionality and PHP for back-end logic, improving user experience and performance.
Led research initiatives on cloud computing technologies and frameworks, providing insights and recommendations for academic projects aimed at improving cloud infrastructure and resource management.
Delivered technical support for university IT systems, troubleshooting software and hardware issues, and ensuring smooth operation of campus-wide systems for students and faculty.
Contributed to the full-stack development of web applications and ensuring seamless user interfaces and back-end integration.
Refactored and optimized existing Python code for web applications, reducing latency and improving load times and ensuring a smoother user experience.
maintained detailed documentation of system architectures, workflows, and code changes for academic projects, ensuring clarity and ease of understanding for future updates and collaboration.
Education
Monmouth University
Master's degree in Computer Science
Jan 2016 – Dec 2017
JNTU Kakinada
Bachelor’s Degree in Information Technology
Aug 2010 – May 2014
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