Usama Khan

Senior Cloud Solutions Engineer – T Cloud Public (OTC), AWS & Azure

T-Systems International

Jul 2022 - Present • 4 yrs

𝗧 𝗖𝗹𝗼𝘂𝗱 𝗣𝘂𝗯𝗹𝗶𝗰 (𝗳𝗼𝗿𝗺𝗲𝗿𝗹𝘆 𝗢𝗽𝗲𝗻 𝗧𝗲𝗹𝗲𝗸𝗼𝗺 𝗖𝗹𝗼𝘂𝗱): The leading European Public Cloud Platform based on OpenStack technology, deployed across multiple EU regions. • Lead compute and cloud platform operations for T Cloud Public (OTC), ensuring high availability, scalability, and operational efficiency for large-scale, multi-tenant enterprise workloads • Provide DevOps, SRE, Solution Engineering, and Cloud Security services for in-house Public Cloud Platform (OTC) operations and multi-cloud environments (AWS & Azure) • Automate infrastructure and operations workflows to improve reliability, resilience, and overall platform security posture • Built AI automation prototypes in Python (RAG, LLM fine-tuning, vector DBs) using FastAPI/Streamlit and vLLM, enabling multi-agent integrations • Ensure uptime and reliability of Elastic Compute and Container (Kubernetes) services, including continuous performance optimization • Contributed to infrastructure and hardware evolution initiatives within the T Cloud Public ecosystem • Managed cross-cloud infrastructure operations on OTC, AWS and Azure, ensuring high availability (HA), scalability, and security while optimizing costs by 20% • Designed multi-agent AI systems using tools such as OpenCode, vLLM, Terraform providers, and MCPs to automate platform operations, including generating Terraform configurations & committing them to GitHub/GitLab to streamline infrastructure provisioning workflows • Collaborate with engineering, vendor and product teams to enable faster delivery and operational excellence • Implement SRE best practices, observability, monitoring (Prometheus, Grafana), and incident response workflows • Participate in initiatives integrating AI-driven monitoring, incident handling, and automation into core operations • Mentor and guide teams on SRE/DevOps methodologies, cloud operations, and scalable platform design strategies

Senior Cloud Platform Engineer – Core Compute & AI Infrastructure

Deutsche Telekom

Jul 2022 - Present • 4 yrs

𝐓 𝐂𝐥𝐨𝐮𝐝 𝐏𝐮𝐛𝐥𝐢𝐜 (𝐎𝐓𝐂) – T-Systems & Deutsche Telekom's sovereign public cloud; secure, OpenStack-based IaaS from European data centers. - 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 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

Lead/Senior DevOps Engineer

Self Employed

Nov 2021 - Jul 2022 • 8 mos

Lead DevOps Engineer for Darvis Inc. (US) for their AI‑driven healthcare/logistics products on AWS, owning CI/CD, infrastructure as code, and production reliability. • Designed and deployed end‑to‑end CI/CD pipelines using Docker, Docker‑Compose, GitHub Actions, AWS ECR, ECS and EKS for multiple AI products • Reduced MTTR by 60% for high‑impact production incidents through improved monitoring, alerting, and runbooks • Managed EKS, ECR, ECS, Docker, and Docker Compose production deployments • Provisioned and maintained AWS infrastructure (EKS, EC2, RDS, IAM roles/policies, VPC, S3 buckets and Dynamodb) with advanced Terraform • Established standard infrastructure as code (IaC) patterns and modularized existing Terraform code for all components used on the AWS platform. • Built AI model training pipelines (YOLO, S3, Nvidia‑Docker, Python, boto3) and collaborated with backend teams on FastAPI‑based services • Worked with other Sr. and Jr. DevOps engineers to streamline and adopt the best DevOps practices for all the products • Setup testbeds, staging servers and pre-prod environments (on AWS & on-prem) for almost every new and existing AI product in the company