About
1. Extensive Experience: I have over 8 years of experience in Cloud Engineering and DevOps, specializing in AWS, GCP, and Azure. 2. Proven Track Record: I have successfully implemented CI/CD pipelines, automated deployment processes, and managed multi-cloud environments, ensuring optimized application performance and reliability. 3. Strong Automation Skills: I am proficient in using tools like Jenkins, GitLab CI, and Ansible to streamline and automate development workflows, which enhances productivity and reduces errors. 4. Security Focus: I prioritize security by implementing robust IAM policies, SSL termination, and encryption protocols, ensuring compliance and data protection. 5. Collaboration and Communication: I excel in team environments and utilize tools like JIRA and Confluence for effective project management and communication across diverse teams. 6. Continuous Learner: I hold multiple AWS certifications and stay updated on industry trends, demonstrating my commitment to ongoing professional development. 7. Passion for Technology: I am genuinely passionate about cloud technologies and DevOps practices, eager to contribute to innovative solutions that drive business success.
Skills & Expertise (20)
Work Experience
Cloud DevOps Engineer
Ally, United States - Remote
1-2023 - Present
Automated build, test, and deployment processes by implementing CI/CD pipelines with Jenkins or GitLab CI on GCP utilizing tools like Cloud Build and Container Registry. • Configured GCP load balancers, including HTTP(S), TCP, and SSL proxy load balancers, to distribute traffic and improve application availability using GCE. • Expertise in utilizing Google Cloud Platform (GCP) services, including Compute Engine, Cloud functions, Cloud DNS, Cloud Storage, and cloud deployment concepts like SaaS, PaaS, and laaS, as well as their GCP implementation. • Configured instance templates, managed instance groups, and load balancers to achieve high availability and load distribution across multiple GCE instances. • Implemented automated backup strategies for VMs using GCE Snapshots and ensured proper disaster recovery procedures and monitored GCE instances using Google Cloud Monitoring performance and system health. • Proficiently managed and deployed applications across multiple Kubernetes clusters using ArgoCD, leveraging AppProjects, ApplicationSets and Applications for streamlined orchestration, and implemented Single Sign-On (SSO) and RBAC policies for enhanced security and access control. • Developed Jenkins jobs to provision AWS infrastructure using Terraform code from GitHub repositories. Managed Jenkins to oversee the weekly build process. • Infrastructure as Code was enabled for scalable and consistent deployments by automating the deployment of Kubernetes workloads on EKS with the use of Helm charts and Terraform. • Ensured encrypted data storage with AWS KMS for EKS clusters, secured API communication with TLS certificates, and configured IAM roles for service accounts (IRSA) to implement security best practices. • Set up advanced networking configurations with VPC CNI plugins, allowing pod-to-pod and pod-to-service communication inside cluster, utilizing security groups and network policies to protect traffic between services. • Wrote Ansible Playbooks; used Python SSH as a wrapper to maintain my server and node configurations, then ran Playbooks on AWS instances. • Design, configuration, and management of public/private cloud infrastructure by means of Amazon Web Services including but not limited to EC2, ECS, EKS, ELB, S3, EBS, VPC, AMI, EFS, RDS, Auto scaling, CloudFront, CloudFormation, Elastic Search, DynamoDB and Security layers services like IAM, Cloud Trail, Cloud Watch, KMS and Integration layer services like SNS, SQS, Route53. • Set up RDS instances using CloudFormation and Terraform to map out more complicated dependencies and identify network issues using Terraform and created Terraform templates for AWS infrastructure and defined modules like compute, operations and for reuse in various environments. • Automated EKS cluster provisioning and ELB Ingress configuration using Terraform and AWS CloudFormation, ensuring consistent deployments and maintaining infrastructure version control. • Created Python scripts to automate AWS Services which includes ELB, Cloud front, Lambda, database security and application configuration also developed them to take backup of EBS volumes using AWS Lambda, CloudWatch. • Used IAM to build essential modules like generating Amazon resource numbers and integration points with DynamoDB and RDS, as well as new accounts, roles, groups, and policies. • Extensive AWS experience encompassing AWS CodeBuild, AWS CodeCommit, AWS CodePipeline, AWS Lambda, API Gateway, AWS CLI/Yaml/CloudFormation, Serverless Deployment. • Used Prometheus and Grafana, two visualization tools, to monitor Kubernetes pod metrics at regular intervals. • Set up automated rollback mechanisms when deployments failed to pass predetermined health checks by configuring AWS CloudWatch and SNS notifications to track application deployments in CodeDeploy.
Certifications
AWS Solutions Architect – Professional, Associate
Amazon Web Services (AWS) · 2022
The AWS Solutions Architect – Professional certification is an advanced certification that validates your ability to design and deploy complex, multi-tier applications on AWS. It emphasizes advanced technical skills and experience in designing distributed systems. Key Areas Covered: Designing for Organizational Complexity: Building architectures that can scale and adapt to complex organizational structures. Migration Planning: Strategies for migrating on-premises applications to AWS. Cost and Performance Optimization: Advanced techniques to analyze and optimize cost and performance. Security and Compliance: Ensuring that applications comply with relevant security standards and regulations. Designing Multi-Account AWS Environments: Understanding how to set up and manage multiple AWS accounts for large enterprises. Target Audience: This certification is suitable for experienced professionals who already hold the Associate level certification or have significant experience with AWS architecture. Benefits of Certification Career Advancement: These certifications can help you stand out in a competitive job market and open doors to advanced job roles in cloud computing. Validation of Skills: They provide official recognition of your knowledge and skills in AWS architecture and services. Increased Earning Potential: Professionals with AWS certifications often command higher salaries compared to their non-certified peers. Networking Opportunities: Being certified can provide access to AWS events, webinars, and communities where you can connect with other professionals and experts. Up-to-Date Knowledge: The certification process encourages continuous learning, ensuring you remain informed about the latest AWS features and best practices.
