Sr Engineer, Software - Enterprise Procurement and Planning Engineering Technology

At T-Mobile, we invest in YOU!  Our Total Rewards Package ensures that employees get the same big love we give our customers.  All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That’s how we’re UNSTOPPABLE for our employees!

Are you ready to join the Un-carrier movement?

The Senior Software Engineer will support and enhance the Enterprise Procurement Platform, designing, implementing, and deploying scalable software solutions that keep the platform stable, secure, and ready for future-state capabilities. Working closely with business stakeholders, engineers, and technologies such as virtualization, microservices, software-defined networking, network functions virtualization, and big data, this person exercises independent judgment to resolve technical issues, recommend sound software design, and ensure continuous, compliant, and scalable procurement operations. Success is measured by the ability to deliver effective solutions that integrate cleanly with system protocols and meet business and technical requirements, improving operational efficiency and the customer experience.

We pride ourselves on encouraging a culture of innovation, advocating for agile methodologies, and promoting transparency in all that we do. Join us in embodying the spirit of the 'Un-carrier' and make a tangible impact! If you're up to the challenge, apply today!

Job Responsibilities:

• Develop software solutions and conduct tests to drive engineering projects and ensure quality deliverables
• Contribute to design innovations that improve systems, processes, or services using new frameworks and industry best practices
• Collaborate with technical teams to deliver solutions and mentor others through knowledge sharing and training sessions
• Support technology strategy by evaluating and applying current technologies that align with business goals
• Create clear documentation for software code, system designs, and business requirements to support knowledge sharing
• Evaluate, integrate, and maintain AI/ML capabilities — including LLM APIs, local model deployments, RAG pipelines, and MCP server integrations — to enhance platform intelligence and automation across procurement and supply chain workflows
• Experience designing and deploying AI agent workflows — including multi-step tool-use agents, LLM-powered diagnostic agents, and agentic orchestration using LangChain / LangGraph or cloud-native frameworks (AWS Bedrock Agents) — integrated into enterprise microservices
• Apply AI-assisted development practices and contribute to responsible AI standards, including prompt engineering, output validation, and guardrails aligned with enterprise security and compliance requirements
• Also responsible for other duties/projects as assigned by business management as needed
• Provide day-to-day BAU (Business-as-Usual) support for the Enterprise Procurement / STP platform
• Execute and support application deployments, configuration changes, and production support activities
• Support SAP Ariba administration, including user access management and operational configurations
• Develop and support integrations, APIs, and platform enhancements as required
• Assist in change request (CR) execution, defect resolution, and release readiness
• Partner with TPMs and SOX Control Operators to ensure secure, compliant operations
• Contribute to process improvements, documentation, and operational runbooks
• Participate in offshore/onshore collaboration with defined overlap hours

Education and Work Experience:

• 4-7+ years - Technical engineering experience using the .NET stack (ASP.NET Core / ASP.NET MVC / ASP.NET Web API / C#), front-end frameworks (e.g., Angular, Razor Pages or Blazor), Oracle SQL / MS SQL, Kubernetes, and API Gateway technologies
• Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required)
• Acceptable areas of study include Computer Science, Software Engineering, Information Management or equivalent experience in field (Required)
• Strong experience with Kubernetes, C#/.NET Core, Python, SQL, Splunk, Java-Spring Boot and Grafana.
• Deep expertise in microservices architecture and distributed systems.
• Hands-on experience with AI/ML integration patterns — including LLM APIs (OpenAI, Azure OpenAI, Anthropic), RAG pipelines, vector databases, and MCP server development — applied within .NET or Python backend systems
• Experience building production AI agents using LangChain, LangGraph, or AWS Bedrock Agents, including