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That means that any communications regarding TMUS Global Solutions opportunities or employment offers will be issued only through ANSR and the 1Recruit platform. If you receive a communication or offer from another individual or entity, please notify TMUS Global Solutions immediately.</p>\r\n\r\n<p>TMUS Global Solutions will never seek any payment or other compensation during the hiring process or request sensitive personal data (such as bank details or government-issued identification numbers) prior to a candidate&rsquo;s acceptance of a formal offer.</p>","about_us":"T-Mobile is America’s supercharged Un-carrier, challenging conventions and setting new standards in wireless. 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previously been employed by DT or Softbank or any of its affiliates?","question_type":"MCSA","question_options":[{"option":"Yes","option_id":1},{"option":"No","option_id":2}]}],"title":"Engineer, Software - Full Stack","description":"<p><strong>About T-Mobile:</strong></p><p>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.TMUS India Private Limited, operating as TMUS Global Solutions, has engaged ANSR, Inc. (\"ANSR\") as its exclusive recruiting partner. That means that any communications</p><p>regarding TMUS Global Solutions opportunities or employment offers will be issued only through ANSR and the 1Recruit platform. If you receive a communication or offer from another individual or entity, please notify TMUS Global Solutions immediately.</p><p><strong>TMUS Global Solutions:&nbsp;</strong></p><p>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.&nbsp;</p><p><strong>About the Role:</strong></p><p>As an Engineer – Software Full Stack (API Gateway &amp; AI Infrastructure), you will design and build the software that powers T-Mobile’s gateway platform and AI infrastructure layer — spanning control plane APIs and operator tooling for API Gateway and Istio, developer-facing portals and dashboards, and backend services that manage routing, policy, and observability for AI agents, Model Context Protocol (MCP) servers, and LLM gateways. You will take end-to-end ownership from UI to cloud infrastructure, ensuring the platform is reliable, extensible, and built for the demands of AI-native workloads. Success is measured by the quality and adoptability of the tools you ship, uptime of platform services, and developer productivity gains. You will also apply AI coding tools, prompt engineering, and agentic patterns as a core part of your day-to-day SDLC — going beyond prototypes to production-grade use.&nbsp;</p><p>We pride ourselves on encouraging a culture of innovation, agile ways of working, and transparency in all we do. Join us in embodying the spirit of the Un-carrier and make a tangible impact!&nbsp;</p><p><strong>What You’ll Do:</strong></p><ul><li>Build and maintain developer portals, operational dashboards, and self-service UIs for the API Gateway and Istio platform — enabling teams to configure routes, policies, and traffic rules without deep mesh expertise.&nbsp;</li><li>Develop backend APIs and microservices that interface with Kubernetes controllers, API custom resources, and Istio control plane APIs to automate gateway provisioning, policy enforcement, and configuration lifecycle.&nbsp;</li><li>Engineer platform services for AI gateway use cases: MCP server registration and routing, LLM provider management (failover, rate limiting, semantic caching), and AI agent ingress configuration.&nbsp;</li><li>Design and extend data storage mechanisms — relational and non-relational — for gateway configuration state, traffic policy audit logs, AI usage metrics, and MCP tool catalogs.&nbsp;</li><li>Maintain cloud services and infrastructure as code (Terraform, Helm, Kubernetes manifests) to support consistent, repeatable deployments of gateway and AI platform components.&nbsp;</li><li>Implement and maintain CI/CD pipelines for gateway configuration promotion and platform service deployments, including GitOps workflows with Argo CD or Flux.&nbsp;</li><li>Write testable, maintainable code with automated unit and integration tests; participate in peer code reviews with a focus on security, correctness, and operational safety for gateway-layer changes.&nbsp;</li><li>Troubleshoot and resolve issues across the full stack — UI, platform APIs, Kubernetes resources, Envoy proxy behavior, and cloud infrastructure.&nbsp;</li><li>Collaborate with SRE, security, and AI engineering teams to decompose platform features into user stories, define API contracts for gateway and AI services, and deliver accurate estimates.&nbsp;</li><li>Apply AI coding tools, prompt engineering, and agentic patterns as a core part of the SDLC — using them in production-grade workflows beyond prototypes (e.g., code generation, test generation, gateway config validation assistants, automated reviews).&nbsp;</li><li>Contribute to a culture of innovation, agile ways of working, and transparency across the team.&nbsp;</li></ul><p><strong>What You’ll Bring:</strong></p><ul><li>Bachelor’s degree in computer science, Engineering, or a related field; or equivalent demonstrated experience.&nbsp;</li><li>Minimum 2 years of related work experience in software engineering.&nbsp;</li><li>2–4 years of full stack web development experience, including front end and back end; experience building internal developer platforms or operational tooling is a strong plus.&nbsp;</li><li>Proficiency in a modern front end framework (React preferred) alongside TypeScript/JavaScript, HTML, CSS, and build tooling such as webpack or Vite.&nbsp;</li><li>Back end experience in Go, Python, or Node.js; familiarity with building Kubernetes operators or controllers is a plus.&nbsp;</li><li>Working knowledge of Kubernetes concepts (CRDs, controllers, namespaces, RBAC) and comfort reading or writing Kubernetes manifests and Helm charts.&nbsp;</li><li>Familiarity with service mesh or API gateway concepts (Istio, Gloo Gateway, Envoy, Kong, or similar); understanding of traffic routing, mTLS, and policy enforcement is valued.&nbsp;</li><li>Exposure to AI gateway or LLM infrastructure concepts: MCP protocol, LLM proxy routing, token-rate limiting, model provider APIs (OpenAI, Bedrock, Azure OpenAI), or AI agent communication patterns.&nbsp;</li><li>2–4 years designing database schemas and writing SQL; 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