About Muhammad Usama
I'm a hands-on and passionate Multi-Cloud DevOps/SRE Lead and a Senior Cloud Solutions Consultant with 10+ years of experience designing, building, and operating large‑scale Cloud, DevOps, and AI platforms across AWS, Azure, GCP, T Cloud Public, and OpenStack.
I specialize in highly available, secure, and cost‑efficient platforms for enterprise, data‑intensive, telecom, and business-critical workloads.
Over the past years, I’ve led and delivered:
- Numerous projects, including Cloud Migrations, Automation strategies, and Infrastructure optimization initiatives.
- Public cloud platform operations for T Cloud Public (OTC) across multiple EU regions, with a focus on high availability, elasticity, and automation.
- DevOps and SRE practices for AI‑driven products on AWS (EKS, ECS, ECR, RDS, S3, DynamoDB) and Azure, including CI/CD, observability, and incident response.
- Telco / NFV‑oriented cloud solutions on OpenStack & OpenShift with strict reliability and performance requirements.
My qualifications include:
✔️ Multi-Cloud Certified (AWS, Azure and Oracle Cloud Certified)
✔️ 4+ years as Technical Lead / Expert Cloud Solutions Engineer & Architect
✔️ I'm Proficient in:
1️⃣ Cloud Platforms: AWS, Azure, GCP, OTC, OpenStack
2️⃣ DevOps & AI: GitOps, Agile, CI/CD, GenAI, MLOps (Machine Learning Operations)
3️⃣ Tools: Ansible, Terraform, Jenkins, GitHub Actions, GitLab, Bitbucket
4️⃣ Cloud Native: Docker, Docker-Compose, Kubernetes, Helm, Kustomize, ArgoCD and Istio
5️⃣ Languages: Python, Go, and Bash
6️⃣ Data Tools: Apache Kafka, Spark, Databricks, SQL/NoSQL databases
7️⃣ Linux System Administration, Automation and Virtualization
Some outcomes from my work:
- Reduced cross‑cloud infrastructure costs by ~30% while maintaining availability and performance
- Cut production MTTR by ~60% through better automation, monitoring, and incident workflows
- Accelerated cloud deployment timelines from weeks to hours through end‑to‑end automation
English
Native or bilingual
Hungarian
Conversational
German
Basic
Urdu
Native or bilingual
Hindi
Native or bilingual
Remote only
Primarily works remotely
Experience
- T-Systems International GmbHSENIOR CLOUD SOLUTIONS ENGINEER - T CLOUD PUBLIC (Core Compute & AI Infra), AWS & AZUREDIGITAL AND ITJuly 2022 - Today (4 years and 1 month)Budapest, Hungary• T Cloud Public (formerly OTC): The leading European Public Cloud Platform based on OpenStack, deployed across multiple EU regions• Primarily involved in providing, but not limited to DevOps/SRE, Solution Engineering, and O&M services across OTC, AWS and Azure• Played a key role in automating processes, upgrades, large-scale changes, and compute expansions across the OTC platform using DevOps, SRE & O&M tools to enhance platform scalability, security, and reliability• Oversaw full lifecycle of compute and container services (ECS, AS, IMS, DeH, BMS, CCE), ensuring 24/7 availability and platform stability• Built AI automation prototypes in Python using LLMs, RAG, vector Databases (FastAPI/Streamlit), enabling multi-agent integrations• Provided DevOps and platform engineering services across AWS, Azure and OTC, Kubernetes environments, & IaC (Terraform)• Contributed to OTC platform evolution via new hardware rollouts and compute service upgrades, aligned with strategic goals• Managed cross-cloud infrastructure operations on OTC, AWS, Azure; ensured 99.99% uptime and 20% cost savings for critical services• Managed Kubernetes clusters supporting microservices workloads, ensuring high availability and stable production operations• Partnered with operations and product teams to identify broken processes and re-imagine them with automation, prototyping AI powered tools that streamlined incident handling and system monitoring• Collaborated with engineering teams to identify repetitive operational processes and introduced AI-assisted automation to improve DevOps & SRE workflows• Acted as a key escalation point for critical customer incidents, providing technical leadership and resolution in high-impact scenarios• Facilitated quarterly Agile PI Planning sessions and acted as an Interim Product Owner (PO) and Scrum Master (SM)• Maintained a secure, efficient, and reliable Public Cloud platform (OTC) by collaborating with other teams and external vendors
- Deutsche Telekom AGSenior Cloud Platform Engineer – Core Compute & AI InfrastructureDIGITAL AND ITJuly 2022 - Today (4 years and 1 month)𝐓 𝐂𝐥𝐨𝐮𝐝 𝐏𝐮𝐛𝐥𝐢𝐜 (𝐎𝐓𝐂) – T-Systems & Deutsche Telekom's sovereign public cloud; secure, OpenStack-based IaaS from European data centres.- Operate and evolve core compute infrastructure for T Cloud Public (OTC) sovereign cloud platform, supporting large-scale multi-tenant workloads across enterprise customers- Manage backend cloud systems, including virtualized and bare-metal compute, enabling scalable provisioning of CPU and GPU resources- Support and optimize AI and GPU infrastructure services for inference and high-performance workloads across the platform- Contribute to development and lifecycle management of Cloud “flavors” and compute offerings aligned with internal and external customers and workload demands- Work on infrastructure reliability, performance tuning, and capacity management across distributed cloud environments- Handle L2/L3 operational support for critical platform incidents, ensuring rapid resolution and minimal service disruption- Collaborate with vendor, platform engineering and SRE teams to improve observability, automation, and operational efficiency- Participate in the introduction of new infrastructure capabilities and hardware evolution initiatives within the T Cloud Public ecosystem- Support continuous improvement of Cloud operations through automation, tooling, and AI-assisted monitoring and incident response
- Darvis Inc.SENIOR DEVOPS/MLOPS ENGINEERDIGITAL AND ITNovember 2021 - July 2022 (8 months)Nashville, TN, USA• Designed and deployed CI/CD pipelines for AI-based products using GitHub Actions, GitLab CI/CD, Docker, and Docker Compose across AWS (ECS/EKS), Azure (AKS), and GCP (GKE, Cloud Run)• Implemented CI/CD workflows using AWS & Azure DevOps for automated build, test & deployment using Docker and Kubernetes• Built and automated ML pipelines (training, deployment, monitoring) with Python and Kubernetes, enabling rapid iteration and reliable scaling of AI models across production systems• Hands-on experience developing backend APIs/services for AI products using FastAPI• Utilized NVIDIA's RTX, A100, and H100 GPUs to train and deploy high-performance computer vision ML models• Built continuous monitoring solutions using performance metrics to track and evaluate AI models' performance in production• Established standard infrastructure as code (IaC) patterns and modularized existing Terraform code for AWS / Azure Cloud Infra• Developed and maintained end-to-end pipelines for training & deploying Computer Vision AI models into production environments• Provisioned and maintained AWS infrastructure (EKS, EC2, RDS, IAM roles/policies, VPC, S3 and DynamoDB) with advanced Terraform• Led daily Agile stand-up and Sprint Retro meetings for a team of over 20 members in the absence of the manager
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Education
- NUTANIX HYBRID CLOUD SCHOLARSHIP - CLOUD COMPUTINGUdacity2020NUTANIX HYBRID CLOUD SCHOLARSHIP - CLOUD COMPUTING
- BACHELOR'S IN ELECTRICAL (COMPUTER) ENGINEERINGUniversity of Engineering & Technology (UET)2019BACHELOR'S IN ELECTRICAL (COMPUTER) ENGINEERING
Certifications
- AWS Certified DevOps Engineer – ProfessionalAmazon Web Services (AWS)2025
- AWS Certified Solutions ArchitectAmazon Web Services (AWS)2024