Cloud DevOps Engineer - AWS CI/CD Automation

ARUNA FOMENKY

Dallas, TX, *****

+1-346-***-**** – ************@*****.***

PROFESSIONAL SUMMARY

Experienced DevOps Engineer with over 8+ years of expertise in designing, implementing, and optimizing cloud infrastructure, CI/CD pipelines, and automation workflows.

Skilled in leveraging DevOps methodologies and tools to streamline software delivery, improve operational efficiency, and ensure system reliability.

Led a cross-functional team in the launch of a new product, resulting in a remarkable 40% revenue increase in the first quarter, demonstrating strategic acumen.

Experience with configuration management using Ansible, Chef and container management with Docker.

Expertise in working with AWS provided Solutions like EC2 and ELB which includes Creating EC2 instances, adding EBS volumes for EC2 and familiar with VPC, Route 53, RDS, S3, IAM, SNS, SQS, SWF, SES, Auto scaling, Storage gateway, Elastic Beanstalk, Cloud formation and Cloud Watch.

Leveraging a deep understanding of industry best practices and cutting-edge technologies, I have successfully streamlined development workflows, reduced time-to-market, and improved overall software quality. Proficient in a wide range of DevOps tools and cloud platforms

Experienced in using Terraform and cloud formation for provisioning the highly available EC2 Instances, migrate legacy and monolithic systems to AWS and write new plugins to support new functionality in Terraform.

Strong hands-on development and configuration experience with Configuration Management tools like Chef and Ansible.

Experience in working with Docker, Kubernetes, ECS container services and successfully deployed the images in the cloud environment for managing Application.

Capable of handling multiple tasks and working effectively both in a group and as an individual to meet deadlines.

WORK HISTORY

01/2020 to Current Cloud DevOps Engineer

Biogen – Cambridge,

Configured and monitored application and infrastructure logs using CloudWatch, enabling proactive identification and resolution of issues.

Implemented automated testing and quality control processes using SonarQube, Checkov Scan, AWS Inspector, and other relevant tools, ensuring high-quality code and adherence to security standards.

Created reusable Terraform modules for common infrastructure components, reducing duplication and saving time in project development.

Set up remote state management using tools like AWS S3 and Terraform Cloud, improving collaboration and disaster recovery.

Automated infrastructure provisioning with Terraform on GCP, standardizing environments and eliminating configuration drift across dev/test/prod.

Implemented Terraform best practices, including version control, state management, and remote backend configuration, for efficient collaboration and disaster recovery.

Integrated Terraform with monitoring and logging solutions to proactively identify and address issues in the infrastructure.

Managed Terraform configurations in version control systems (Git, GitHub) for change tracking and collaboration.

Ensured infrastructure compliance by defining security groups, IAM roles, and policies within Terraform scripts, maintaining a secure environment.

Designed and deployed Kubernetes clusters on AWS, managing resources with Terraform.

Implemented Kubernetes networking with Services, Ingress, and Network Policies to ensure secure and reliable communication.

Architected and deployed Kubernetes clusters for multiple projects, achieving resilience, scalability, high availability, and fault tolerance.

Automated deployment workflows using Kubernetes and Helm, reducing deployment time by 40% and minimizing human errors. Designed and configured persistent storage solutions for Kubernetes clusters, enabling data persistence and seamless application scaling.

Utilized StatefulSets to ensure stable and unique network identities for stateful applications, enabling reliable data storage.

Collaborated with development teams to optimize application performance in Kubernetes environments.

Collaborated with cross-functional teams to optimize application performance and resource utilization.

Containerized applications with Docker, optimizing runtime environments, and facilitating consistent deployments.

Redesigned monolithic applications into microservices architecture, enhancing scalability and maintainability.

Implemented autoscaling mechanisms, launch templates, and snapshots to optimize resource allocation and ensure high availability and fault tolerance.

Implemented and managed database solutions using RDS and DynamoDB, optimizing performance, scalability, and data integrity.

Configured and managed DNS services using Route53, SSL certificates using AWS Certificate Manager, and CDN services using CloudFront, optimizing application performance and security.

Utilized Lambda functions, SNS, and SQS for serverless computing, event- driven architectures, and asynchronous message processing.

Collaborated with development and operations teams to streamline processes, identify bottlenecks, and implement continuous improvements in the software development lifecycle.

Actively participated in incident response and troubleshooting activities, ensuring minimal downtime and rapid resolution of issues.

Designed and implemented a highly available and scalable infrastructure on AWS using services such as EC2, S3, VPC, ELB, ECR, ECS, EKS, EBS, EFS, CloudFormation, and CloudTrail.

Orchestrated containerization and deployment processes using Docker, Kubernetes, and Terraform, ensuring seamless application delivery and scalability across multiple environments.

Implemented and maintained CI/CD pipelines using Git, GitHub, GitHub Actions, Jenkins, Maven, and Docker Hub, enabling efficient code versioning, automated builds, tests, and deployments.

Developed and maintained infrastructure-as-code templates using YAML and JSON, leveraging tools like CloudFormation, allowing for easy provisioning and management of AWS resources.

04/2018 to 11/2019 DevOps Engineer

Amplitude – San Francisco, CA

Designed and implemented a scalable Kubernetes cluster architecture, reducing deployment time by 50% and improving application availability and resilience.

Optimized CI/CD pipelines, resulting in a 40% reduction in deployment failures and faster time to market for new features.

Automated the provisioning of infrastructure using Terraform and Ansible, reducing the deployment time from days to minutes and ensuring consistency across environments.

Implemented a centralized logging and monitoring solution, resulting in improved system visibility and faster troubleshooting of issues.

Developed a comprehensive documentation and knowledge base for DevOps practices, tools, and processes, facilitating knowledge sharing among team members.

Leveraged scripting languages such as Bash, Python, and YAML to automate tasks, create deployment scripts, and configure infrastructure as code.

Implemented and maintained CI/CD pipelines using Jenkins, Git, and GitHub Actions to automate the build, test, and deployment processes for multiple applications.

Designed and managed infrastructure deployments using Terraform, creating reusable modules for provisioning AWS EC2 instances, S3 buckets, and networking resources.

Orchestrated containerized applications using Kubernetes, managing deployments, scaling, and monitoring in a production environment.

Developed and maintained Docker containers and Dockerfiles for application deployment, leveraging Docker Hub for version control and image repository management.

Utilized configuration management tools like Ansible to automate server provisioning, package installations, and configuration updates across Linux- based environments.

Collaborated with development teams to optimize application performance and ensure adherence to best practices, including code quality, security, and scalability.

Implemented monitoring and logging solutions using tools like Prometheus and ELK stack, enabling real-time visibility into system health and troubleshooting of issues.

Integrated SonarQube into the CI/CD pipelines to perform static code analysis, identify code smells, and enforce coding standards.

Utilized AWS services including S3, EC2, and IAM for infrastructure provisioning, storage, and access management.

Implemented virtualization technologies like Docker and AWS EC2 instances to ensure efficient resource utilization and isolation of application environments.

04/2017 to 03/2018 Desktop Support Specialist

Paychex – Irving, TX

Provided technical support and troubleshooting for hardware, software, and network-related issues to a diverse user base of over 500 employees in Windows environment, Linux and Mac Environments.

Installed, configured, and maintained desktop computers, laptops, printers, and other peripheral devices.

Collaborated with the IT team to develop and implement effective IT solutions and improve overall system performance.

Responded to help desk tickets and resolved issues within agreed-upon service level agreements (SLAs).

Conducted hardware and software upgrades, including the installation of operating systems, applications, and patches.

Assisted with onboarding and offboarding procedures, including setting up new user accounts, provisioning equipment, and ensuring data security protocols are followed.

Trained users on software applications, basic troubleshooting techniques, and best practices for maintaining a secure computing environment.

Managed Active Directory user accounts, permissions, and group policies.

Monitored and maintained inventory of IT assets, ensuring proper documentation and accurate asset tracking.

Collaborated with vendors and service providers to coordinate repairs, replacements, and warranty claims for faulty hardware.

Contributed to the development and maintenance of IT documentation, knowledge base articles, and standard operating procedures. EDUCATION & CERTIFICATIONS

09/2019 Bachelor of Science: Computer Science

University of Buea

AWS Certified Solutions Architect Associate

HashiCorp Certified: Terraform Associate (003)

Contact this candidate