Job Description

About T-Mobile:

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T-Mobile US, Inc. (NASDAQ: TMUS), headquartered in Bellevue, Washington, is America's supercharged Un-carrier, connecting millions through its strong nationwide network and flagship brands, T-Mobile and Metro by T-Mobile. Customers benefit from an unmatched combination of value, quality, and exceptional service experience.

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TMUS Global Solutions:

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TMUS Global Solutions is a world-class technology powerhouse accelerating the company's global digital transformation. With a culture built on growth, inclusivity, and global collaboration, the teams here drive innovation at scale, powered by bold thinking.

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About the Role:

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The Senior Software Engineer is responsible for designing, building, deploying, operating, and continuously improving production software platforms that support consumer-facing AI applications and cloud-native services. This role follows an end-to-end software ownership model where engineers are accountable for the full software development lifecycle — from architecture and implementation through deployment, production support, observability, and continuous improvement.

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Working closely with AI Platform Engineers, Product Owners, Architecture, and Platform teams, this role develops reliable, scalable software while ensuring operational excellence across production environments. The ideal candidate is a strong software engineer with experience building cloud-native distributed systems and a willingness to own software in production.

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What You'll Do:

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- Design, develop, and maintain backend services, APIs, microservices, and cloud-native applications supporting AI platform capabilities.
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- Own software throughout its lifecycle, including design, implementation, deployment, production support, monitoring, and continuous improvement.
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- Build scalable, resilient, and secure distributed systems using modern software engineering practices.
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- Collaborate with AI Platform Engineers to deliver production-ready platform services supporting conversational AI, agentic AI, and consumer-facing AI applications.
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- Develop and maintain CI/CD pipelines that enable reliable, automated software delivery.
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- Deploy and operate containerized applications using Kubernetes and cloud-native platforms.
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- Participate in production support, troubleshooting, root cause analysis, and post-incident improvements.
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- Implement application monitoring, logging, and observability practices to improve software reliability and operational visibility.
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- Drive software engineering best practices through architecture discussions, code reviews, automated testing, and mentoring junior engineers.
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- Partner with Platform Engineering teams to continuously improve reliability, scalability, security, and developer productivity.
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What You'll Bring:

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- Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related field, or equivalent practical experience.
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- 7+ years of software engineering experience building and operating cloud-native production software.
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- Strong programming experience in Java, Python, or Go.
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- Experience designing and developing distributed systems, microservices, REST APIs,



and event-driven applications.
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- Experience building cloud-native applications using Kubernetes and container technologies.
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- Experience implementing CI/CD pipelines and automated software delivery practices.
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- Experience supporting production software applications, troubleshooting complex issues, and driving operational improvements.
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- Solid understanding of software architecture, scalability, resiliency, performance optimization, and secure software development.
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- Experience collaborating across distributed Agile engineering teams.
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- Excellent communication, technical leadership, and mentoring skills.
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Must Have Skills:

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- Software engineering leadership and technical mentoring
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- Java, Python, or Go
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- Distributed systems and microservices
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- REST APIs and backend software architecture
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- Cloud-native software development
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- Kubernetes application deployment and operations
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- CI/CD and software delivery automation
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- Production software support and troubleshooting
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- SDLC and Agile engineering practices
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- Observability and application monitoring concepts
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Nice to Have:

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- Familiarity with Infrastructure-as-Code (Terraform or similar)
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- Experience with monitoring and observability platforms such as Prometheus, Grafana, Splunk, Datadog, or OpenTelemetry
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- Familiarity with reliability engineering concepts including SLIs, SLOs, and error budgets
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- Experience supporting AI platforms, LLM-powered services, or conversational AI applications
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- Experience with Model Context Protocol (MCP), API gateways, or enterprise integration patterns
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- Experience working with Agentic AI platform teams or consumer-facing AI application teams
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📌 Sr Engineer Software - Backend-28888] (Hyderabad)
🏢 TMUS Global Solutions
📍 Hyderabad