The Senior Storage Engineer is responsible for designing, building, and operating scalable enterprise storage platforms across Storage Area Network (SAN), Network Attached Storage (NAS), and backup environments at T-Mobile. This role spans the full data lifecycle and requires deep expertise across all three domains.

A key focus of this role is modernizing storage operations through automation, software engineering practices, and the use of AI-driven tools. The engineer will leverage technologies such as Git-based workflows and AI platforms (e.g., Chat GPT, Claude) to build automation, develop intelligent operational agents, and reduce manual effort across SAN, NAS, and backup services.

What Youll Do:

- Design, develop, and deploy enterprise SAN, NAS, and backup solutions that meet business and technical requirements.
- Operate and manage SAN, NAS, and backup environments, ensuring high availability and performance.
- Implement and manage replication and disaster recovery strategies across SAN, NAS, and backup platforms.
- Automate storage operations across all domains using APIs, scripting, and infrastructure-as-code practices.
- Leverage AI tools (e.g., ChatGPT, Claude) to build automation workflows, operational tooling, and intelligent agents.
- Develop and maintain Git-based workflows for infrastructure and automation code.
- Collaborate with compute, virtualization, and Kubernetes teams to deliver full-stack infrastructure solutions.
- Drive innovation by evaluating and implementing new technologies, automation frameworks, and AI capabilities.




- Lead troubleshooting and resolution of complex storage and data management issues in distributed environments.
- Mentor junior engineers and contribute to architecture, standards, and best practices.

What Youll Bring:

- Bachelors degree in Computer Science, Information Systems, or related field (or equivalent experience).
- 58+ years of hands-on experience in storage engineering or infrastructure engineering.
- Proven experience delivering scalable, resilient enterprise storage solutions across SAN, NAS, and backup.
- Robust programming/scripting skills (Python, Go, or similar) with a focus on automation.
- Experience using Git and modern development workflows for infrastructure code.
- Experience with AI-assisted development tools (e.g., ChatGPT, Claude) and a demonstrated interest in using AI agents to automate operations, reduce manual toil, and unify infrastructure workflows.
- Strong analytical and problem-solving skills in complex distributed systems.
- Excellent communication and documentation abilities.

Must Have Skills:

- Expert-level experience with SAN platforms (Dell, Pure, IBM, or equivalent)
- Expert-level experience with Cisco MDS SAN switching
- Deep understanding of SAN architecture, zoning, multipathing, and performance tuning




- Expert-level experience with enterprise NAS platforms (NetApp, Dell, or equivalent)
- Strong understanding of file protocols (NFS, SMB/CIFS) and data services
- Expert-level experience with enterprise backup platforms (Cohesity, Rubrik, or equivalent)
- Strong understanding of backup architectures, retention, and recovery workflows
- Strong understanding of storage protocols (FC, iSCSI, NFS, SMB/CIFS, S3).
- Proven ability to design and implement disaster recovery and business continuity strategies across storage domains.
- Strong automation skills including AI agent design, API integration, scripting (Python, Bash), and infrastructure-as-code approacheswith a demonstrated ability to turn manual operational processes into fully automated, agent-driven workflows.
- Experience with monitoring and observability tools (Grafana, Prometheus, Splunk, etc.).
- Advanced troubleshooting skills in large-scale, distributed storage environments.

Nice To Have:

- Experience with Kubernetes persistent storage (CSI drivers, dynamic provisioning).
- Familiarity with cloud storage services and hybrid storage architectures.
- Experience building internal developer platforms or self-service infrastructure tooling.
- Exposure to advanced automation frameworks and orchestration platforms.
- Exposure to containerized and virtualized environments (Kubernetes, OpenShift) on Linux, with interest in applying AI agents to automate operations within these stacks.
- Relevant storage or infrastructure certifications.

📌 Sr Engineer, Systems Architecture (Hyderabad)
🏢 TMUS Global Solutions
📍 Hyderabad