Devops Engineer Aws
Resume:
ARUNA CHEENDRIM
AWS DevOps Engineer
***************@*****.***
Dallas, TX, 75071
https://www.linkedin.com/in/aruna-cheendrim-a6bab9332/
https://github.com/Arunapindra
Summary:
AWS DevOps Engineer with 7 years of experience in automating infrastructure and designing robust CI/CD pipelines. Expert in leveraging AWS services and integrating DevSecOps practices to enhance security and system performance. Proficient in scripting, container orchestration, and Infrastructure as Code (IaC) tools like Terraform, with a focus on operational efficiency and reliability. Demonstrated ability to collaborate with cross-functional teams to deliver high-quality solutions while optimizing deployment processes.
Technical Skills:
Cloud Infrastructure Management (AWS: EC2, S3, VPC, RDS, ALB, EKS, CloudWatch)
Operating Systems (Red Hat, Ubuntu, OpenShift)
Containerization & Orchestration (Docker, Kubernetes, EKS)
CI/CD Pipeline Implementation & Automation (Jenkins, ArgoCD, Git, Github actions)
Infrastructure as Code (IaC) with Terraform & Ansible
DevOps Methodologies & Agile Practices
Cloud Security & DevSecOps Implementation
Continuous Monitoring & Log Management (Prometheus, Grafana, ELK)
Release Management & Automated Deployment
Version Control (Git, GitHub, GitLab)
Scripting & Automation (Bash, Python, Shell, Groovy)
Cost Optimization & Auto-Scaling (CloudWatch, Auto Scaling)
Team Collaboration & Cross-functional Communication
Troubleshooting & Production Support
Certifications:
AWS Certified Cloud Practitioner (November 2022 - November 2025)
AWS Certified Solutions Architect – Associate (Feb 2025 - Feb 2028)
https://www.credly.com/badges/5a563d78-6c55-450b-886a-f0576f8aab3d/linked_in_profile
Experience:
AWS DevOps Engineer City of Phoenix
Phoenix, AZ
Mar 2022 - Current
●Developed and implemented Helm charts to standardize microservice deployments across multiple regions.
●Managed Docker orchestration and containerization using Kubernetes (EKS) for efficient deployment, scaling, and management of workloads.
●Automated zero-downtime Kubernetes upgrades in EKS using Helm charts, Terraform, and Docker, maintaining 99.9% service uptime.
●Transformed infrastructure into a fully automated, code-based model using Terraform, creating reusable modules and significantly reducing infrastructure costs.
●Provisioned core AWS resources (Launch Templates, ALBs, Auto Scaling Groups) through CloudFormation, standardizing deployments.
●Created Jenkins jobs to automate AWS infrastructure provisioning from Git repositories containing Terraform code.
●Designed and automated solutions using AWS Auto Scaling Groups, S3, EBS, and ELB, enhancing availability and resilience.
●Hands-on experience with AWS services, including EC2, IAM, VPC, EBS, AMI, APIs, Route 53, Auto Scaling, SNS, RDS, CloudWatch, S3, API Gateway, Lambda, and Security Groups using Terraform.
●Secured AWS environments by configuring Security Groups to restrict unauthorized access and ensure secure communication.
●Designed and implemented IAM policies, roles, and least privilege access controls, enhancing AWS security and compliance.
●Enhanced security compliance by addressing and mitigating 85% of vulnerabilities during the build phase using automated security scans and validation steps.
●Integrated security and compliance checks within Harness pipelines using SonarQube, SAST/DAST scans, ensuring SOX-compliant deployments.
●Designed and deployed CI/CD pipelines using Jenkins, Harness, GitHub Actions, and GitLab CI/CD, integrating tools like Helm, SonarQube (SAST/DAST), and Docker image scanning, reducing deployment time by 50% while ensuring high-quality releases.
●Implemented Blue/Green deployment strategies using Jenkins pipelines using groovy for fast and risk-free application updates in production.
●Established automated CICD pipelines to build, integrate, test, and promote Java artifacts using Maven and Jenkins, minimizing errors and improving release efficiency.
●Promoted shift-left security practices, embedding security and code analysis checks early in the pipeline, proactively identifying and resolving defects before production.
●Configured Prometheus for real-time monitoring and Grafana for visualization, facilitating early issue identification and reducing downtime by 20%.
●Implemented a robust monitoring and logging system by integrating the ELK Stack with Prometheus and Grafana.
●Set up CloudWatch alarms, monitoring, and log aggregation across AWS services (EC2, RDS), improving observability and troubleshooting efficiency.
●Implemented Splunk for centralized log management and real-time monitoring, improving system visibility and troubleshooting efficiency.
●Developed custom Splunk dashboards and alerts to track application performance and security events, reducing incident response time by 40%.
●Configured and managed SCM tools, Git branching strategies, and troubleshooting code merging issues in collaboration with development teams.
●Designed release plans while coordinating with stakeholders, including Project Management Leads, Development Leads, and QA Teams.
●Managed project tasks using JIRA for issue tracking, sprint planning, and progress monitoring, integrating JIRA with CI/CD pipelines to automate workflows and improve team efficiency.
●Actively participated in SCRUM ceremonies, providing cloud engineering guidance and advancing cross-team initiatives within tight timelines.
●Built and optimized Docker images, reducing image sizes and build times, optimizing resource consumption.
●Created AWS Lambda deployment functions, integrating with S3 and CloudWatch events for event-driven automation.
●Optimized Maven-based build processes, improving dependency management and reducing build times for Java applications.
●Worked closely with cross-functional teams to align development and operations processes, resulting in a scalable, cost-effective, and highly available cloud-native infrastructure.
Technologies and tools used: Linux, Shell, PowerShell and Python scripting, Bash, Groovy, Ansible, Terraform, CloudFormation, Docker, Kubernetes (EKS), Helm, Jenkins, Git, GitHub Actions, GitLab CI/CD, Argo CD, SonarQube, SAST, DAST, image scanning, Nexus, Artifactory, Java, Maven, Mongo DB, MySQL, Redis, Splunk, and JIRA. AWS: VPC, IAM, EC2, RDS, AWS DynamoDB, EBS, EFS, S3, ALB, Autoscaling, AMI, Route 53, EKS, ECS, Lambda, API Gateway, CloudWatch, AWS CloudTrail, SNS, ELK Stack, Prometheus, Grafana, Security Groups, IAM Policies, Bastion Host, NAT Gateway, and Load Balancers.
AWS DevOps Engineer Zee entertainments Pvt Ltd
Telangana, Hyderabad, India
Jun 2019 - Jan 2022
●Automated AWS infrastructure provisioning using Terraform, ensuring consistency, scalability, and reducing manual effort across Development, Testing, and Production environments.
●Designed and deployed a custom VPC with public and private subnets across two availability zones, ensuring high availability and fault tolerance.
●Developed modular Terraform configuration files to manage AWS resources, including S3 buckets, Security Groups, EC2 instances, and IAM roles.
●Created reusable Terraform modules, improving maintainability and scalability of infrastructure code.
●Configured remote state management with Amazon S3 and DynamoDB, ensuring reliable deployments and preventing state file conflicts.
●Applied version control best practices with Git to track and manage Terraform code changes, ensuring collaboration and traceability.
●Architected optimized AWS solutions, leveraging services like EC2, VPC, S3, RDS, and IAM, while ensuring disaster recovery (DR) backups.
●Strengthened resource security by configuring Security Groups, following the principle of least privilege.
●Automated EC2 instance configurations using user_data.sh scripts, reducing setup time and improving efficiency.
●Standardized AMI customization using Packer with provisioners like Shell and Ansible, expediting server and application configurations.
●Optimized cloud costs by 15% through performance tuning, selecting appropriate EC2 instance types, and efficient resource allocation.
●Created Jenkins pipelines for integrated builds, testing, AMI generation, and auto-deployments, streamlining software delivery.
●Reduced infrastructure provisioning time by 50% through end-to-end automation, improving team productivity and deployment speed.
●Utilized Maven and Gradle build tools to assemble deployable artifacts from source code, accelerating release velocity.
●Applied Git for version control, ensuring efficient collaboration in CI/CD pipelines.
●Utilized Kubernetes to deploy containerized applications, ensuring efficient workload management and scalability.
●Utilized Shell and Bash scripts to monitor server health and verify node status.
●Enhanced operational reliability by troubleshooting infrastructure issues and optimizing underutilized resources, reducing costs while improving scalability.
AWS DevOps Engineer Ericsson
Bengaluru, Karnataka, India
March 2018 - Jun 2019
●Designed and set up a VPC for a static website across multiple Availability Zones, ensuring network isolation and security for all resources.
●Configured IAM users with appropriate policies, enforcing least privilege access to AWS resources for enhanced security.
●Implemented a Bastion Host in a public subnet for secure SSH access to private subnets, reinforcing production security.
●Configured an Application Load Balancer (ALB) to efficiently distribute incoming traffic across EC2 instances in public subnets.
●Set up NAT Gateways in both Availability Zones, enabling secure internet access for private subnet instances while maintaining high availability and fault tolerance.
●Conducted resiliency testing to ensure NAT Gateways functioned properly, improving fault tolerance and availability.
●Built launch templates for EC2 instances, ensuring consistent and repeatable instance configurations for future deployments.
●Automated AWS resource management using Bash scripts with cron jobs, optimizing operational efficiency and cost.
●Developed custom Ansible modules to enhance automation and provisioning workflows.
●Automated configuration, provisioning, and deployment processes using Ansible playbooks, reducing manual effort by 70% and improving efficiency.
●Designed and maintained reusable Ansible roles, ensuring modular and consistent configurations across multiple environments
●Managed and optimized Linux/Unix-based infrastructure, automating system administration tasks using Bash and Ansible.
●Troubleshoot performance issues, configured security settings, and optimized server operations for high availability and reliability.
●Collaborated with cross-functional teams to integrate infrastructure and application deployments using AWS services, optimizing performance and reliability.
Education:
Bachelor of Technology (B.Tech) Computer Science and Engineering
Gayatri Vidya Parishad College of Engineering
Visakhapatnam, India June 2018
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