Global Network & Telecom Services - Full-Stack Product Engineer (Network Automation & AI-Ops)

Choosing where to start and grow your career has a major impact on your professional and personal life, so it’s equally important you know that the company that you choose to work at, and its leaders, will support and guide you. With a wide variety of people, global locations, technologies and products, 3M is a place where you can collaborate with other curious, creative 3Mers.

The person filling this role will join 3M’s world-class Global Network & Telecom Services organization as part of the Network Automation team, building the software, automation and Artificial Intelligence-driven operations (AI-ops) capabilities that keep 3M’s global network reliable and efficient.

As a full-stack product engineer, you will own the product surface of our internal tools — dashboards, network topology and graph visualizations, data-dense operational views, and conversational (AI assistant) interfaces — and the Application programming interface (API) and data integrations behind them. You will contribute across a portfolio of work: our internally built platforms, vendor-provided tools we extend and integrate, and new initiatives as they arise.  You will work closely with the team’s AI engineers, consuming the AI services, agents and tools they build and growing your own AI engineering skills over time. This position requires occasional work outside normal business hours.

• →Design, develop, test and maintain the front-end product surface of the team’s internal tools and platforms — operational dashboards, network topology/graph visualizations, large data views and real-time/streaming displays — using TypeScript and modern web frameworks (for example React)
• → Build and refine conversational and agent-driven interfaces (chat User Interface, streaming responses, rendering of tool/agent output) that provide natural-language access to network and inventory data
• →Build and maintain the Application programming interface (API), services and data integrations behind these experiences, reconciling and exposing data from sources such as Configuration management Database (CMDB), cloud inventory, Axonius, Domain Name System(DNS)/IP Address Management (IPAM) and Information Technology Service Manager
• →Contribute across a portfolio of work — internally built platforms, vendor-provided tools we extend and integrate, and new cross-team initiatives (for example a network-aware ‘golden path’ for application deployments with the platform engineering team)
• →Consume and integrate the AI services, agents and tools built by the team’s AI engineers (Large Language Model (LLM) assistants, summarization/triage, anomaly detection, natural-language query) into production user experiences, using AI-assisted development tools to accelerate delivery
• →Use Git, GitHub Actions and continuous integration/continuous delivery/deployment (CI/CD) to build, test and deploy in a repeatable, auditable way, applying front-end quality practices (component/UI testing, accessibility and performance)
• →Translate business and operational requirements into technical solutions; document workflows and runbooks, provide support escalation as needed, and collaborate with a globally distributed team in Agile/Scrum practices

• Maplewood, MN

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