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Location
In office (Hyderabad)
Seniority
Middle · 4+ years exp

First seen by Alion on Aug 19, 2026. T-Mobile scores A on the Alion truth index.

Overview
Company
Impact
Profile match
T-Mobile US is a major American telecommunications carrier headquartered in Bellevue, Washington, operating as a publicly traded subsidiary majority-owned by Deutsche Telekom. The company provides nationwide wireless voice, data, and 5G mobile services alongside fixed wireless home internet to over 140 million subscribers. Known for its consumer-centric "Un-carrier" strategy, T-Mobile delivers connectivity through its flagship brand as well as prepaid subsidiaries like Metro by T-Mobile and Mint Mobile.

Requirements:

  • 4 - 6 years of software engineering experience building distributed systems and cloud-native applications.
  • Strong proficiency in Python or Java, with working knowledge of both preferred.
  • Experience designing APIs, microservices, workflow engines, or platform services.
  • Experience building systems that integrate with LLMs, AI services, or conversational platforms.
  • Experience designing highly available distributed systems and service-oriented architectures.
  • Strong understanding of software architecture, system design, scalability, resiliency, and performance optimisation.
  • Demonstrated experience leading technical design discussions, driving architectural decisions, and influencing engineering direction across teams.
  • Experience with cloud-native technologies, including containers, Kubernetes, and service-based architectures.
  • Excellent problem-solving, debugging, and technical communication skills.
  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field, or equivalent practical experience.
  • Experience integrating AI systems with enterprise applications, APIs, tools, or data platforms through standardised integration patterns.

Must Have Skills:

  • Python software engineering.
  • Distributed systems, APIs, and microservices.
  • LLM, AI service, and conversational platform integration.
  • Cloud-native architecture, containers, and Kubernetes.
  • Software architecture and technical leadership.
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