{"id":64741,"url":"https://alion.io/job/t-mobile-fullstack-software-engineer","title":"Fullstack Software Engineer","company":{"id":19639,"name":"T-Mobile","domain":"t-mobile.com","url":"https://alion.io/company/t-mobile-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":3,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":8,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, Pakistan"],"countries":["PK"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":37000,"max_usd":109000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":6933},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon S3","optional":false},{"name":"Angular","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Claude Code","optional":false},{"name":"Docker","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"IAM","optional":false},{"name":"Java","optional":false},{"name":"JavaScript","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Next.js","optional":false},{"name":"OpenSearch","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Snowflake","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-08-20T03:35:49Z","employer_posted_date":null,"last_verified_at":"2026-08-20T03:35:49Z","board_verified":false,"closed_at":null,"days_open":58,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":58},"description":"Responsibilities:\nFrontend Architecture and Generative UI: Develop highly scalable, reusable UI components using expert-level TypeScript and modern frameworks (React/Next.js or Angular 16+). Shift from static layouts to flexible, dynamic interfaces that gracefully handle unpredictable data and real-time LLM streams.\nCore Backend Engineering and API Design: Design and build highly scalable, reusable backend services and APIs (using Python) that serve as the backbone for multi-agent workflows and GenAI applications. Build, host, and secure Model Context Protocol (MCP) servers and standard APIs to standardise data exchange.\nCloud Architecture and DevOps Excellence: Design, implement, and manage secure and scalable cloud infrastructure (primarily AWS) tailored for diverse AI workloads. Apply Infrastructure-as-Code (IaC) practices using Terraform. Build, maintain, and optimise fully automated CI/CD pipelines and manage application containerization (Docker).\nAgentic SDLC and Engineering Excellence: Leverage AI coding assistants and autonomous agents (e. g., Claude Code, Ona) daily to accelerate full-stack development cycles. Conduct rigorous code reviews for both human-written and AI-generated code.\nRequirements:\nExperience: 7+ years of strong software engineering experience with a demonstrable focus on backend development, cloud infrastructure, advanced frontend architecture, and DevOps.\nAI Integration Experience: Proven experience building backends for complex solutions and LLM-powered applications, managing streaming responses, and translating non-deterministic AI outputs into safe, functional user interfaces.\nAgentic Workflow: Proven experience leveraging AI coding agents within an agentic SDLC to accelerate feature delivery.\nHold a B. Sc., B. Eng., M. Sc., M. Eng., PhD, or equivalent in Computer Science, Software Engineering, or a related field.\nBe a passionate builder, staying continuously up-to-date with the latest developments in cloud computing, backend architectures, frontend paradigms, and AI integrations.\nBe team-oriented, proactive, and collaborative, thriving in a fast-paced environment where roles are fluid and multidisciplinary.\nHave a deep sense of accountability, capable of diagnosing complex system-level issues across the entire stack, and able to step into a Tech Lead role when necessary.\nTechnical Skills:\nFrontend and User Interface: Deep expertise in TypeScript and a major framework (React/Next.js or Angular 16+). Strong capability in complex state management and handling real-time data flow.\nBackend Programming: Advanced, production-grade proficiency in Python. Excellent enterprise API design and microservices architecture skills.\nCloud and DevOps: Deep expertise in AWS (IAM, Lambda, S3 ECS, etc. ), Docker, CI/CD tools (e. g., GitHub Actions), and Terraform.\nData and AI Tooling: Experience integrating with modern databases (Snowflake, OpenSearch). Familiarity with the Model Context Protocol (MCP), graph databases and Generative UI libraries.\nSoftware Engineering Best Practices: Robust automated testing (TDD) to verify both code written by AI agents and dynamic UI components generated at runtime.\nAdditional Qualifications:\nSecurity Mindset: Strong understanding of enterprise security risks, IAM, and safe data handling, along with a strong understanding of responsible AI deployment.\nCommunication: Be an excellent problem solver, detail-oriented, and a great communicator, able to present complex technical matters clearly to diverse audiences. 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