
DevOps Engineer
Han har en stark expertis inom containerisering med Docker och Kubernetes och är duktig på att automatisera arbetsflöden med hjälp av Terraform och Ansible.
Faizan har arbetat med AI-drivna plattformar och nästa generations lösningar för arbetsledning, och han har stor erfarenhet av cloud computing och DevOps i sina projekt. Hans omfattande kompetens och förmåga att leverera optimerade molnmiljöer gör honom till en nyckelperson i alla teknikdrivna initiativ.

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.
Ingenjörsexcellens
Faizan totala prestation i en 90-minuters live-teknisk bedömning rankas inom top 25% av granskade DevOps Engineer på 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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