MOHAMMAD ARBAZ

• Platform Leadership & Strategy: Spearheaded the design and rollout of an internal developer platform that standardized infrastructure consumption across 15+ engineering squads, reducing time to market for new microservices by 40%.
• AKS Cluster Engineering & Management: Architected and managed dedicated Azure Kubernetes Service (AKS) clusters for Staging and Production, streamlining application lifecycles, implementing Istio Service Mesh for traffic routing, and configuring HPA/VPA scaling matrices for optimized resource management.
• Application Delivery & DevSecOps: Automated microservices lifecycle deployments using structured Helm Charts and highly resilient declarative pipelines in Azure DevOps. Enforced shifting-left security with automated image scanning, SonarQube, Veracode SAST, and dynamic secrets injection via Azure Key Vault.
• Infrastructure Orchestration & IaC: Architected multi-region cloud topologies via Terraform Enterprise and Ansible Core, codifying reusable modules to completely eradicate configuration drift. Orchestrated complex migrations (including legacy enterprise apps and Azure Service Bus) from on-premise to Azure with zero production downtime or data loss.
• Cloud Networking & Routing: Engineered highly available network architectures, provision enterprise-grade Azure Application Gateways, Layer 4/7 Load Balancers, and complex VNet peering to securely route high-throughput traffic to backend microservices.
• SRE & Observability: Engineered multi-layered observability using Prometheus, Grafana, New Relic, and Elasticsearch Stack. Led incident response and performed exhaustive RCA on high-throughput microservices, optimizing low-level container runtime profiles and database queries (MySQL/PostgreSQL, Redis) to drive a 25% reduction in MTTR.

DevOps / Cloud Engineer

• Managed and optimized AWS and Azure cloud infrastructure, including compute, networking, storage, IAM/RBAC, security controls, load balancing, and application environments, with a focus on scalability, availability, and cost optimization.
• Managed end-to-end cloud infrastructure across multiple enterprise projects, including SiGREEN, UPS, Salesforce Trailhead, and MindSphere, ensuring high availability, scalability, security, and operational reliability across development, staging, and production environments.
• Designed, implemented, and maintained CI/CD pipelines using Jenkins, Git, Docker, and automation tools for build, test, release, and deployment workflows.
• Implemented Infrastructure as Code (IaC) using Terraform and Ansible to automate cloud infrastructure provisioning, configuration, and lifecycle management while reducing manual effort and configuration drift.
• Owned the production deployment lifecycle, including release preparation, pipeline execution, deployment validation, health checks, rollback procedures, and coordination with development and QA teams during production releases.
• Participated in incident management, root-cause analysis (RCA), and problem management, identifying recurring issues and implementing corrective and preventive actions to improve platform reliability and reduce MTTR.
• Implemented monitoring and logging solutions to proactively identify application and infrastructure issues, addressing performance bottlenecks and resource saturation to maintain service reliability.
• Configured Kubernetes Ingress, Services, Load Balancers, TLS, DNS, Secrets, HPA, resource requests/limits, and application routing to support scalable and highly available applications.
• Integrated SonarQube and security/vulnerability scanning into CI/CD pipelines to improve code quality and identify security issues before production deployment.
• Collaborated with developers, QA, architects, security teams, and business stakeholders to troubleshoot production issues, onboard applications, standardize deployment processes, and establish DevOps best practices.
• Contributed to DevOps strategy and continuous improvement initiatives, enhancing deployment speed, reliability, and automation while fostering collaboration between development and operations teams.

• Conducted post-mortem root-cause analyses (RCA) on business-impacting production incidents; engineered automated remediation and auto-healing scripts in Python and Bash to enhance system reliability.
• Tailored cluster nodes, resource requests/limits, network routing, and storage classes to optimize hardware compute saturation, significantly reducing cloud compute costs.
• Knowledge Sharing: Conducted internal engineering bootcamps on cloud-native infrastructure delivery trends, CKA principles, and infrastructure vulnerability management protocols to up-skill junior engineers.