Summary
Overview
Work History
Skills
Timeline
Generic

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Chicago

Summary

Enthusiastic engineer with a strong commitment to driving innovation and delivering impactful solutions. Dedicated to tackling challenges with a positive mindset and contributing effectively within collaborative teams. Passionate about staying updated with industry trends and technologies to continuously improve and achieve goals.

Overview

3
3
years of professional experience

Work History

Cloud Engineer

Company 2
11.2023 - Current
  • Proficient in provisioning AWS EC2 instances and setting up Virtual Private Clouds (VPCs), adept at deploying EC2 instances across public and private subnets tailored to application requirements.
  • Provisioned and managed compute instances (e.g., AWS EC2), serverless functions (e.g., AWS Lambda), and storage solutions (e.g., Amazon S3) to meet application requirements.
  • Set up monitoring and alerting using cloud-native monitoring services (e.g., AWS CloudWatch) to track performance metrics, monitor logs, and respond to incidents proactively.
  • Optimized cloud costs by implementing cost-effective strategies, monitoring resource usage, and leveraging cloud provider tools (e.g., AWS Cost ExploreManagement) to analyze and manage spending.
  • Implemented IAM policies and roles to enforce least privilege access controls and ensure secure authentication and authorization across cloud services.
  • Developed and maintained CI/CD pipelines using GitHub Actions to automate the building, testing, and deployment of cloud-based applications.
  • Conducted routine testing of data backups to verify integrity and reliability, maintaining up-to-date recovery procedures.
  • Configured and managed global content delivery networks (CDNs) using AWS CloudFront, optimized performance with caching and distribution strategies, and integrated with other AWS services.
  • Implemented Docker and Kubernetes solutions in cloud environments to optimize application deployment and scalability. Managed Docker containers for efficient packaging and deployment, while orchestrating Kubernetes clusters for automated workload management. Enhanced system reliability and performance through effective monitoring and scaling strategies
  • Orchestrated containerized applications using Amazon ECS (Elastic Container Service) or Amazon EKS (Elastic Kubernetes Service), managing clusters, deployments, and scaling for efficient container orchestration.
  • Managed the creation of an ECS cluster using Terraform, integrating VPC and subnet configurations, as well as setting up load balancing, RDS instances, and an internet gateway. Orchestrated deployments directly from DockerHub, ensuring efficient containerized application hosting. This project streamlined infrastructure provisioning and deployment processes, enhancing scalability and reliability while adhering to best practices in cloud architecture and automation
  • Collaborated with developers and operations teams to design and implement a scalable microservices architecture on AWS. Conducted regular meetings to align on project goals, resolve issues, and optimize AWS resource usage. This teamwork ensured efficient deployment of cloud resources and enhanced system performance.


DevOps Engineer

Company 1
03.2021 - 08.2023


  • Implementing AWS Auto Scaling Groups to ensure application high availability and dynamically adjust EC2 instances based on workload demands
  • Implementing a scalable and cost-efficient CI/CD pipeline on AWS, leveraging Infrastructure as Code (IaC) with Terraform or AWS CloudFormation, auto-scaling EC2 instances for high availability, containerizing applications with Amazon ECS for efficient deployment, monitoring performance and security using AWS CloudWatch and IAM, and optimizing costs through AWS Cost Explorer.
  • Designing and implementing CI/CD pipelines for automated deployments.
  • Utilized Ubuntu, Amazon Linux, CentOS, and other Linux-based operating systems, adeptly navigating package managers such as YUM, APT, and RPM to streamline system configurations and software installations.
  • Utilized Ansible and Terraform to provision subnets, security groups, routing tables, and network access controls.
  • successfully orchestrated the deployment of a three-tier application using Terraform. This encompassed the meticulous setup of VPCs, security groups, and domain configurations, all meticulously managed via GitHub pipelines. My responsibilities included ensuring the seamless integration and continuous delivery of these critical infrastructure components, thereby enhancing the scalability, reliability, and overall performance of our applications throughout their lifecycle.
  • Managed the deployment of three EC2 instances using Terraform, ensuring efficient configuration and accessibility. Successfully installed Docker and established a Docker Swarm cluster through Ansible, enhancing scalability and orchestration capabilities across our infrastructure.
  • Established and oversaw a Docker deployment workflow for bespoke application containers.
  • Managed Kubernetes clusters to deploy microservices with Helm charts, implemented horizontal pod autoscaling for efficient resource utilization, configured Prometheus and Grafana for cluster monitoring, integrated with GitHub CI/CD pipelines for automated deployments, provisioned PersistentVolumes for stateful applications, and contributed to Kubernetes community forums for knowledge sharing
  • Containerized applications using Docker and orchestrated them with Kubernetes or Docker Swarm to enable efficient deployment, scaling, and management.
  • Utilized Python extensively for scripting.
  • Troubleshoot alerts relating to application failures and devices being unreachable
  • Collaborating with developers, QA engineers, and system administrators to align on goals and priorities, ensuring smooth deployment and operation of applications.


Skills

  • AWS: EC2, S3, RDS, IAM, CloudWatch, Lambda, Route 53, DynamoDB, CloudFront, ECS
  • Google Cloud
  • Web Servers: Nginx, Apache
  • Infrastructure as Code (IaC): Terraform, AWS CloudFormation
  • Configuration Management: Ansible
  • Version Control: Git, GitHub
  • Programming Language: Python
  • Markup Languages: HTML, CSS
  • Scripting: JSON, YAML
  • Linux: Ubuntu, CentOS, Amazon Linux
  • CI/CD: GitHub Actions
  • Containerization: Docker
  • Container Orchestration: Kubernetes
  • Monitoring and Metrics: grafana, Prometheus
  • Soft Skills: Effective communication, collaboration, and problem-solving

Timeline

Cloud Engineer

Company 2
11.2023 - Current

DevOps Engineer

Company 1
03.2021 - 08.2023

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