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Shahroz
@shahrozramza957
Senior DevOps Engineer
Pakistan
English, Urdu, Hindi
About me
I am a Senior DevOps Engineer specializing in cloud infrastructure, Kubernetes, CI/CD, containerization, automation, observability, and production troubleshooting.
I have hands-on experience across multiple cloud platforms, including AWS, Azure, GCP, and OVH. My technical expertise includes Kubernetes, Docker, Helm, Jenkins, GitHub Actions, Linux, infrastructure automation, and monitoring. I have deployed, managed, and troubleshot production systems across different environments and have worked on both IoT-based and analytics platforms, as well as ML/AI and Web3-related projects.
Skills
Shahroz
Offline •
Average response time: 1 hour
See my services
DevOps Consulting
I will deploy and troubleshoot your kubernetes cluster
CI/CD
I will build and fix your cicd pipelines
Work experience
Senior DevOps Engineer
TenX
Jan 2026 - Present • 7 mos
As a Senior DevOps Engineer, I design, deploy, automate, and operate production-grade cloud and Kubernetes infrastructure for data analytics platforms. Engineered a production-grade analytics platform on GKE integrating Apache Airflow, NiFi, Flink, Superset, Kafka, and Percona XtraDB Cluster (PXC). Standardized Helm-based deployments, reducing new-environment provisioning time from 3–4 days to approximately 1 day. Built service-level GitHub Actions CI/CD pipelines, enabling full-platform deployments in approximately 40 minutes and individual service updates in under 5 minutes. Automated Helm upgrade workflows across six analytics services, reducing manual release effort by approximately 80%. Implemented Prometheus and Grafana observability with custom dashboards for infrastructure and application-level troubleshooting. Managed stateful Kafka and PXC workloads using highly available Kubernetes deployment patterns for real-time analytics workloads.
DevOps Engineer
Jun 2024 - Jan 2026 • 1 yr 7 mos
Worked as a DevOps Engineer focusing on Kubernetes, cloud infrastructure, CI/CD, GitOps, DevSecOps, and infrastructure automation. Migrated containerized applications from manual server-based deployments to a self-managed k3s Kubernetes cluster and deployed production workloads across cloud servers. Built Jenkins CI/CD pipelines integrated with SonarQube for automated code analysis and testing. Implemented Argo CD for GitOps-based continuous delivery, simplifying deployment and rollback workflows. Integrated Trivy container vulnerability scanning into CI pipelines to identify security issues before production. Implemented Istio service mesh for secure, observable, and reliable service-to-service communication. Provisioned AWS infrastructure using Terraform, including VPCs, networking, and load balancers, and deployed containerized applications using AWS ECS. Built secure GPU-enabled development environments for ML engineers and containerized AI, blockchain, Python, and Node.js workloads.
DevOps Engineer
CyberWing
Jun 2021 - Jun 2024 • 3 yrs
Managed cloud infrastructure, Kubernetes workloads, CI/CD pipelines, security, monitoring, and production services. Managed approximately 25 production services on OVH Cloud and designed Kubernetes environments using Minikube and kubeadm. Automated RDS-to-S3 database backup pipelines using Jenkins, reducing backup and transfer time from approximately 1 hour to under 5 minutes. Built CI/CD pipelines using Jenkins, TeamCity, and GitHub Actions to automate deployments and improve release reliability. Standardized Helm charts across services, reducing the time required to deploy new microservices. Migrated production workloads into private AWS subnets to reduce external exposure of backend services. Deployed and managed Kafka, EMQX, Keycloak, and PostgreSQL using Kubernetes Operators. Implemented Prometheus-based monitoring for production and third-party applications. Hardened Linux infrastructure through SSH key management, IAM controls, LVM, and security policies. Built authentication and authorization infrastructure using Logto and Cerbos. Worked with AWS ECS/ECR for container orchestration and image management while troubleshooting production CI/CD and deployment issues.
