
DevOps Engineer
He possesses strong expertise in containerization with Docker and Kubernetes and excels at automating workflows using Terraform and Ansible.
Faizan has worked on AI-driven platforms and next-generation work management solutions, bringing significant experience in cloud computing and DevOps to his projects. His comprehensive skill set and ability to deliver optimized cloud environments make him a key contributor to any tech-driven initiative.

Support CI/CD pipeline development and maintenance for energy management systems
Implement infrastructure as code using Terraform for cloud resource provisioning
Assist in containerization of applications with Docker and deployment on Kubernetes
Contribute to monitoring and observability solutions with Prometheus and Grafana
Collaborate on automation scripts for deployment and operational tasks
Participate in implementing DevSecOps practices within the development lifecycle






Deployed and managed cloud infrastructure to support scalable and reliable services.
Developed automation workflows and authored technical documentation to streamline processes and ensure knowledge sharing.
Wrote backend services in Python using FASTAPI to enable efficient and fast API development.
Dockerized microservices and published them on a private repository to facilitate consistent and isolated deployments.
Developed and implemented incident response plans to address and mitigate security breaches or operational issues swiftly.
Managed multi-environment deployments over Kubernetes, utilizing a canary release strategy for effective release management.
Engineering excellence
Faizan’s overall performance in a 90-minute live technical assessment ranks in the top 25% of vetted DevOps Engineers at Proxify.
1Testfuse is AI-driven personality insight platform for talent acquisition. My role was to design and build its architecture and implemented automated CI/CD pipeline on GCP using GitLab CI and Argo CD, set up cloud environments using Infrastructure as Code practices, deployed and managed microservices on Google Kubernetes Engine (GKE), configured comprehensive monitoring and health checks


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