AWS & Kubernetes Freelancer

Professional Summary

A highly skilled and certified AWS & Kubernetes specialist with over 10 years of experience in cloud infrastructure, container orchestration, and DevOps practices. Expertise in designing, deploying, and managing scalable and secure cloud environments using AWS services and Kubernetes. Passionate about automation, CI/CD pipelines, microservices architecture, and implementing best practices to optimize cloud-based applications. Adept at collaborating with development and operations teams to ensure high availability and fault-tolerance of services. Looking to offer freelance consulting, project-based work, or remote cloud engineering services for businesses seeking to leverage AWS and Kubernetes for their digital transformation.

Core Skills

• Cloud Platforms: Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure
• Container Orchestration: Kubernetes, Amazon EKS (Elastic Kubernetes Service), GKE, Docker Swarm
• CI/CD: Jenkins, GitLab CI, CircleCI, CodePipeline, Spinnaker
• Infrastructure as Code (IaC): Terraform, AWS CloudFormation, Helm
• Automation & Scripting: Bash, Python, Ansible, Chef, Puppet
• Containerization: Docker, Docker Compose
• Version Control: Git, GitHub, Bitbucket
• Monitoring & Logging: Prometheus, Grafana, ELK Stack, CloudWatch, Fluentd
• Networking: VPC, Route 53, CloudFront, ELB, API Gateway, Service Mesh (Istio, Linkerd)
• Security & Compliance: IAM, Security Groups, Secrets Management, AWS Shield, Security Hub, Kubernetes RBAC
• Database Services: Amazon RDS, DynamoDB, Aurora, PostgreSQL, MySQL
• DevOps Methodologies: Agile, Scrum, Kanban
• Communication & Collaboration Tools: Slack, Jira, Confluence, Trello

Certifications

• AWS Certified Solutions Architect – Professional
• AWS Certified DevOps Engineer – Professional
• Certified Kubernetes Administrator (CKA)
• Certified Kubernetes Application Developer (CKAD)
• Docker Certified Associate
• HashiCorp Certified: Terraform Associate

Professional Experience

Freelance AWS & Kubernetes Consultant

Remote
March 2020 – Present

• Architected and implemented scalable AWS infrastructure for clients in various industries, ensuring highly available and fault-tolerant environments with EC2, S3, RDS, Lambda, and other AWS services.
• Deployed and managed Kubernetes clusters using Amazon EKS, Google GKE, and self-managed clusters, optimizing for scalability, performance, and cost-efficiency.
• Developed Infrastructure as Code (IaC) templates with Terraform and CloudFormation to automate the provisioning and scaling of cloud resources, improving efficiency and consistency.
• Built CI/CD pipelines using Jenkins, GitLab CI, and AWS CodePipeline, automating the deployment process for microservices applications running in Docker containers and Kubernetes clusters.
• Designed and implemented a logging and monitoring solution using Prometheus, Grafana, and the ELK stack (Elasticsearch, Logstash, Kibana), enabling proactive monitoring of application performance and availability.
• Performed security audits and compliance checks by configuring IAM roles, VPC Security Groups, and Secrets Management in AWS and Kubernetes, improving the overall security posture of client applications.
• Automated Kubernetes cluster management tasks such as rolling updates, auto-scaling, and backups using Helm and Kubernetes-native tools.
• Advised and trained client teams on Kubernetes best practices, including RBAC configuration, network policies, service mesh implementation, and multi-tenancy.

Key Projects:

• Migrated an on-premises application to AWS, containerizing it using Docker and deploying it on EKS, reducing infrastructure costs by 40% and improving deployment times by 60%.
• Developed an automated disaster recovery plan for a SaaS company using Kubernetes backup tools, ensuring zero downtime during maintenance and failover events.
• Implemented cost-saving strategies by optimizing AWS usage with Auto Scaling Groups, spot instances, and Reserved Instances, saving one client over $50,000 annually.

Senior DevOps Engineer

Tech Company
April 2017 – February 2020

• Led the transition from traditional server infrastructure to a containerized environment using Kubernetes and AWS, deploying microservices architectures that allowed for easier scaling and faster development cycles.
• Designed and implemented multi-region, multi-AZ Kubernetes clusters on AWS, ensuring high availability and disaster recovery capabilities.
• Integrated Kubernetes with CI/CD pipelines using Jenkins and GitLab CI to automate the building, testing, and deployment of applications, reducing deployment time by 75%.
• Implemented monitoring and alerting solutions using Prometheus and Grafana, improving observability and reducing system downtime by 20%.
• Worked closely with development teams to containerize legacy applications and deploy them on AWS ECS and EKS, speeding up the time to market for new features.
• Automated routine tasks and infrastructure management using Terraform, Ansible, and Helm, improving efficiency and reducing human error.
• Played a key role in implementing security best practices, including managing IAM roles and policies, configuring VPCs with tight security controls, and setting up Kubernetes RBAC and network policies.

Key Achievements:

• Migrated a monolithic application to a microservices architecture, resulting in improved scalability, better fault isolation, and a 60% reduction in deployment errors.
• Spearheaded a project that introduced auto-scaling Kubernetes clusters based on traffic spikes, improving the customer experience and reducing unnecessary resource usage.

Cloud Engineer

Cloud / Internet Company
January 2015 – March 2017

• Assisted in the design and deployment of AWS-based cloud infrastructures for clients across various industries, focusing on scalability, security, and cost-efficiency.
• Created and maintained Infrastructure as Code (IaC) templates using AWS CloudFormation and Terraform for efficient provisioning and management of cloud resources.
• Managed Kubernetes clusters and containerized applications, ensuring proper resource allocation and monitoring application performance.
• Provided technical support for clients, troubleshooting Kubernetes and AWS-related issues and implementing solutions to ensure uptime and stability.
• Implemented cost-optimization strategies by configuring AWS billing alerts, right-sizing EC2 instances, and utilizing spot instances and reserved capacity.

Education

Bachelor of Science in Computer Science
2015, New York

Technical Projects

• E-Commerce Website Migration to AWS: Assisted a client in migrating their e-commerce website to AWS, deploying the application on a Kubernetes cluster with EKS and implementing CI/CD pipelines for faster deployments.
• Kubernetes Cluster Auto-scaling: Implemented Horizontal Pod Autoscaling (HPA) and Cluster Autoscaler for a client's Kubernetes infrastructure, reducing downtime during traffic surges and optimizing resource usage.
• Real-time Monitoring and Alerting System: Built a real-time monitoring solution for a SaaS application using Prometheus, Grafana, and Alertmanager, improving incident response times.

References

Available upon request.