Engineer, Software - Core & IP Services Automation

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This role is essential for designing, implementing, and deploying scalable software solutions that meet customer requirements and support high-availability environments, including automation of provisioning, configuration, testing, monitoring, and issue resolution across Core and IP Services. The role involves collaborating with engineering teams to develop software components using technologies such as virtualization, microservices, software-defined networking, and network functions virtualization. This position requires independent development of full software stacks and an understanding of system protocols, data flows, and technology interactions. Success is measured by the ability to deliver production-ready technical solutions, apply sound engineering judgment to AI-assisted development, produce clear documentation, and contribute to technology strategy and innovation. The work impacts the organization by enabling advanced software systems that improve operational efficiency and support business goals.

WHAT'LL YOU DO

You'll help build intelligent automation solutions that support T-Mobile's critical Core and IP network services. Working at the intersection of software engineering, network automation, and AI, you'll develop and integrate software across IT and network systems to simplify operational workflows, reduce manual effort, and improve reliability. Your work will help move intelligent automation from experimentation into real-world production environments.

• •Build software that powers the network. Develop and integrate microservices, APIs, and automation solutions supporting network provisioning, configuration, testing, monitoring, and issue resolution across Core and IP Services.
• •Build with AI, engineer with judgment. Use AI-assisted development tools to accelerate coding, testing, and problem-solving while applying strong software engineering fundamentals to review, validate, and take responsibility for generated code.
• •Deliver reliable, production-ready solutions. Develop, test, and validate software through established CI/CD processes, ensuring code quality and addressing issues related to your changes in collaboration with production support teams.
• •Advance intelligent operations. Contribute to AI-enabled workflows that detect issues, recommend solutions, and support automated actions with appropriate safeguards, validation, and human oversight.
• •Grow your technical expertise. Collaborate with experienced software, network, and AI engineers while developing skills that support future opportunities in senior engineering, architecture, and technical leadership.

OUR TEAM & CULTURE

We're a collaborative, engineering-driven team that brings together expertise in software development, network operations, and artificial intelligence. We encourage curiosity, experimentation, and new ideas while maintaining high standards for quality and reliability.

You'll work with engineers who openly share knowledge, challenge existing approaches, and support one another in solving complex technical problems. Because our automation supports critical network services, we balance innovation with thoughtful engineering, testing, and operational responsibility.

HOW SUCCESS IS MEASURED

Success in this role means delivering reliable software that makes network operations more efficient, scalable, and dependable. Your contributions will support measurable improvements across Core and IP Services.

• •First 90 days: Build familiarity with the team's codebase, engineering practices, and automation environment, progressing toward independently developing, validating, and delivering a production-ready software feature.
• •Engineering quality: Develop well-tested, maintainable software while applying sound judgment to AI-assisted development and validating generated code before production deployment.
• •Automation impact: Help expand automation coverage, reduce manual effort, accelerate network deployments, and minimize operational errors.
• •Production reliability: Deliver software that meets established quality standards and investigate and resolve issues related to deployed changes.
• •AI adoption and impact: Contribute to moving AI-assisted capabilities into production to improve issue resolution, operational efficiency, and reliability.
• •Collaboration and growth: Work effectively with engineering partners, share knowledge, solve technical challenges, and demonstrate increasing independence.

MAIN RESPONSIBILITIES

• •Develop, test, and deploy software components, microservices, and APIs that automate provisioning, configuration, monitoring, and other Core and IP Services workflows, applying sound engineering judgment to AI-assisted development.
• •Collaborate with engineering teams and network specialists to develop and integrate software components with existing IT and network platforms, delivering effective technical solutions and continuously learning new technologies.
• •Create clear documentation for software code, system designs, and business requirements, and contribute to automated testing, code validation, CI/CD integration, and reliable production delivery.
• •Contribute to technology strategy by understanding current technologies and supporting business goals.
• •Present innovative ideas to improve systems, processes, or services based on industry research, including opportunities for AI-assisted software development and intelligent automation.
• •Also responsible for other duties/projects as assigned by business management as needed.

Required Education and Experience:

Bachelor's Degree plus 3 years of related work experience OR advanced degree with 1 year of related work experience OR combination of education and experience deemed equivalent

Acceptable Areas of Study Acceptable areas of study include Computer Science or Engineering

2-4 years Technical engineering experience

REQUIRED SKILLS

Analytical Thinking

Collaboration

Continuous Development

DevOps

Emerging Technologies

Programming Languages

Software Design

Software Development

Technology Development

Test Evaluation

PREFERRED

The following experience and technical knowledge are preferred and are not minimum requirements.

• •Experience using AI-assisted software development tools to generate, review, debug, and validate code while applying independent engineering judgment.
• •Experience developing Java-based software, microservices, and RESTful APIs, with the ability to understand, maintain, and troubleshoot complex codebases.
• •Experience with large language models (LLMs), generative AI, AI agents, agent-based automation workflows, or AI integration frameworks.
• •Experience with CI/CD pipelines, automated testing, containerization, container orchestration, and cloud-native software deployment.
• •Familiarity with prompt engineering, AI tool integration, function calling, and techniques for evaluating the reliability and correctness of AI-generated outputs.
• •Experience with event-driven architectures, messaging and streaming platforms, NoSQL databases, or API management technologies.
• •Familiarity with telecommunications, Core and IP Services, network protocols, or infrastructure automation.
• •Experience with Python or other scripting languages used in software and infrastructure automation.
• •Familiarity with observability, monitoring, telemetry, and incident-response practices.
• •Understanding of validation controls, guardrails, and human-in-the-loop approaches to reliable AI-enabled automation.

At least 18 y