Sr Engineer, Software - Enterprise Procurement and Planning Engineering Technology

T-Mobile•Frisco, TX

6d•$113,600 - $205,000•Onsite

About The Position

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!

Requirements

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 tool-use design, stateful multi-step reasoning, and integration with enterprise APIs and ERP workflows
Familiarity with local model operations (Ollama, vLLM, fine-tuning with LoRA/QLoRA) and AI-augmented development practices including prompt engineering, output validation, and responsible AI guardrails in enterprise environments
Hands-on experience with CI/CD pipelines (GitLab/GitHub), observability, and operational tooling.
Strong hands-on experience in software engineering, platform support, or enterprise application development
Experience with procurement platforms, or ERP-adjacent systems
API development and integration experience using Java and Python
Experience supporting enterprise SaaS platforms or large-scale systems
Working knowledge of AI/ML integration patterns — LLM APIs, RAG pipelines, vector databases, and MCP server connectivity — within enterprise .NET or Python environments
AI agent design and orchestration (LangChain, LangGraph, AWS Bedrock Agents, or equivalent frameworks)
Familiarity with AI-assisted development tooling (GitHub Copilot, Cursor, or similar) and responsible AI practices including prompt engineering, output validation, and compliance-aware guardrails
Solid understanding of production support, deployments, and operational ownership
Analytical Thinking, Analytics Collaboration, Communication, Customer Service, Mentorship Programming Languages, Software Design, Software Development, System Integration, Technical Writing
At least 18 years of age
Legally authorized to work in the United States

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