Ahmed Soria

The organization needed hardened, compliant Kubernetes clusters across multiple platforms to support production workloads with high availability.

Led deployment of hardened Kubernetes clusters on EKS, Tanzu, and OpenShift with ArgoCD for GitOps-based delivery, ensuring compliance and high availability across environments.

Achieved stable multi-cluster operations with automated deployments, compliance enforcement, and reduced incident response time.

Infrastructure needed consolidation and modernization to improve resilience, scalability, and management of virtualized workloads.

Deployed and optimized VMware vCenter environments alongside Harvester HCI to consolidate workloads, and operated OpenShift Virtualization to unify VM and container management.

Improved infrastructure resilience, simplified workload management, and unified VM and container operations.

Manual infrastructure provisioning was slow, error-prone, and led to configuration drift across environments.

Built modular Terraform configurations for AWS infrastructure and Ansible playbooks for configuration management, reducing deployment time and eliminating drift.

Reduced environment provisioning from days to under an hour with consistent, repeatable infrastructure.

Deployments were manual, slow, and risky. No proper environment promotion or rollback process existed.

Built CI/CD pipelines using GitHub Actions for builds and ArgoCD for GitOps-based deployments. Added environment promotion gates and quick rollback workflows.

Deployment frequency went up, rollback time dropped from hours to minutes.

Managing 200+ Linux servers manually was inefficient and led to inconsistencies across the fleet.

Automated configuration management with Ansible across the entire server fleet and deployed monitoring solutions (Nagios, Centreon) for proactive system oversight.

Improved fleet consistency, reduced manual effort significantly, and enabled proactive incident detection.

Growing data volumes required a high-performance distributed database solution that could scale horizontally.

Administered and scaled PostgreSQL with Citus extension for distributed query processing, ensuring high performance and reliability for production workloads.

Achieved horizontal scalability for database workloads with improved query performance and operational reliability.

A multi-app monorepo ran its CI from three monolithic GitLab pipeline files. Jobs were tangled, hard to trace, and adding a new workspace meant editing the shared monolith.

Migrated to a modular per-app layout with reusable base jobs, stage templates, and shared scripts. Established naming conventions, moved unit tests earlier in the pipeline, then did the final cutover with verified job parity and zero downtime.

Completed across ~49 merge requests in about a month. Adding a new workspace went from editing shared files to one file + one include. Pipeline is now traceable and owned per-app.