Experience📝

DevOps Engineer

Penske Media Corp | 2023.08 – present

• Developed an automated solution for developers to access database backups using a suite of AWS tools (Terraform - IAC ) such as Eventbridge, Lambda and S3; thus increasing developer productivity for their local environments.

• Responsible for diagnosing and fixing all AWS infrastructure issues for 100+ engineers.

• Architecting and maintaining CI/CD workflows using Github actions to provide access to AWS

• Spearheaded initiatives for cost optimization across several AWS accounts in the organization resulting in over $100k in cost savings for the organization

• Continue to refine newly adopted AWS Fargate pattern by including monitoring using New Relic, secrets rotation using 1Password and secrets manager.

• Creation, administration and management of Cloud Infrastructure using AWS CLI tooling, Terraform, and Kubernetes CLI tooling (Kubectl, kubectx, k9s)


DevOps Engineer

Sparks Marketing | 2020.03 – 2023.08

• Automating and bootstrapping highly available, scalable, and secure cloud infrastructure using Terraform and Ansible

• Responsible for diagnosing issues, providing technical guidance to other team members, and driving architecture decisions for business initiatives

• Architecting and maintaining CI/CD workflows using Bitbucket pipelines and Github actions to test, build and release code to all environments

• Implementing and securing containerized workflows using technologies such as Docker, Kubernetes, AWS ECR, Artifact Registry, Snyk

• Increased developer productivity by improving processes and tooling for deployment, observability, monitoring,
and alerting.

Homelab Projects

• Machine Learning Project Chocolate - Creating a ML stool predictor based on collected images of my dogs’ chocolate 😉.

• Pipeline Infrastructure Data processing/ETL - Argo Workflow engine based pipelines for video, image and audio processing.

• Edge Infrastructure SRE/IT administration of homelab - Using a Turing Pi clusterboard with K3s to administer applications deployed across Edge devices such as Nvidia Jetson, Rasberry Pi devices.

Interests

• Deep Learning - CNN & RNN - For future projects that involve computer vision, object detection, music/audio generation

• IoT - Distributed Workloads on edge devices.

• Technology/Football - Nerd, Tinkerer, Footballer

Contact

(718-552-7953)
[email protected]

https://github.com/mcam10

https://www.linkedin.com/in/malik-cameron/

Education

Penn State University
Journalism,B.A.
2013 – 2017

Information Sciences and Technology, Minor

Skills

• Kubernetes

• Docker

• Linux

• AWS

• GCP