Principal Software Engineer - OMNI Technology (REMOTE)

At DICK’S Sporting Goods, we believe in how positively sports can change lives. On our team, everyone plays a critical role in creating confidence and excitement by personally equipping all athletes to achieve their dreams.  We are committed to creating an inclusive and diverse workforce, reflecting the communities we serve.

If you are ready to make a difference as part of the world’s greatest sports team, apply to join our team today!

OVERVIEW:

At DICK’S Sporting Goods, we take a people-centric approach to everything we do. Our Athletes, how we refer to customers, and our Teammates, how we refer to our employees, are at the center of every decision we make so that we can provide transformational experiences online, in store, and in sport. When you join Technology at DICK’S Sporting Goods, you’re joining a true team that wins together. We help our Athletes and fellow Teammates better their best by innovating solutions to interesting business problems and empowering every Technology Teammate to be an innovator. And, while we work remotely from all over the United States, we provide virtual and in-person events for the team to hangout, from virtual escape rooms to cheering on the Pittsburgh Pirates at beautiful PNC Park.

JOB PURPOSE

Acts as the OMNI portfolio-level problem solver, focused on applying AI across engineering teams and product lifecycles within the OMNI technology domain. This role spans end-to-end delivery, fulfillment, and OMNI operations, requiring close partnership with teams both inside and outside OMNI. You will help bring these capabilities to life through AI-driven, spec-based engineering while coaching engineers from junior to senior levels on how to apply these practices effectively. The goal is to deliver best-in-class solutions, strengthen business and software analysis, and serve as an advocate for engineering culture by continuously learning, influencing the broader engineering community, and modeling high standards of technical excellence and governance.

SKILLS & EXPERIENCE

Technical experience:

AI experience in the following ways:

• Experience with Spec-first development (not prompt-first)

• Experience with Multi-agent orchestration (not single LLM calls)

• Experience with Knowledge-centric architecture (your “moat” insight)

• Experience with LLMOps discipline (not just experimentation)

Experience with the Build Layer (Spec-driven)

• Spec Kit, Kiro, BMAD, OpenSpec

Experience with the Execution Layer (Agent frameworks)

• LangGraph, CrewAI, AutoGen, etc

Experience with the Platform Layer (LLMOps)

• Lifecycle, monitoring, governance

• Web development technologies using JSON, HTML, and CSS preprocessors

• JavaScript/Typescript and asynchronous call structures

• Experience with React.js, Typescript, RxJs, and other web technologies

• Experience with API engineering (spring, cotlin etc), event messaging – Kafka, queue messaging (rabbit)

• Deep experience with multiple cache and DB technology (postgres, redis, Azure SQL, Cosmos)

• Understands how to optimize AI tokens, and compute to optimize spend.

• Unit Testing and Test Coverage technologies

• Some experience in using NRWL/NX Mono-repo or similar mono-repo architecture

• Experience with Docker, Kubernetes, or other Container technologies

• Familiarity with git-based source control

• Interest in researching and understanding alternative web technologies

• Experience using Agile development methodologies

• Experience building custom software solutions

• Experience of planning and managing resources to deliver predetermined objectives

• Experience leading teams of contractors in an onshore/offshore engagement

• Experience mentoring and growing the careers of Software Engineers and Engineering Managers.

• Track record of elevating Operational and Engineering excellence bar

RESPONSIBILITIES

Software Development

Own development of the most complex existing and new software by analyzing and identifying areas for modification and improvement within the assigned product team. Develop software that is fast, secure, and reliable to meet defined requirements, while applying AI engineering practices to accelerate design, coding, testing, and delivery.

Design and Conceptualization

Lead a collaborative solution design process by gathering input across all product portfolios to define a design system that is viable, scalable, and aligned to the brand. Lead a cross-portfol