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-portfolio, multidisciplinary team that advances the solution through AI-enabled engineering patterns and clear operating models that support consistent execution and adoption.

Technical Developments Recommendation

Provide subject matter expertise and recommendations on complex or innovative technical developments to improve software quality and better meet user, business, performance, and quality needs. Recommend AI engineering tools, standards, and practices that strengthen solution design, delivery speed, and maintainability.

Software Roadmap

Own the end-to-end roadmap of portfolio-level capabilities to facilitate software development and ensure work is prioritized in line with business requirements. Incorporate AI engineering capabilities and operating model evolution into the roadmap to improve scalability, delivery effectiveness, and cross-team alignment.

Work Scheduling and Allocation

Develop medium- and long-term work schedules that enable the organization to achieve its business goals, coordinating across multiple teams. Align capacity, sequencing, and engagement approaches to the operating model so teams can execute portfolio priorities effectively.

Program/Portfolio Management Support

Contribute to the management of a portfolio of programs in partnership with senior teammates. Help define and mature the operating model, governance approach, and cross-team execution practices needed to deliver portfolio outcomes consistently.

Functional/Technical Requirements

Elicit complex functional requirements using a variety of methods such as interviews, document analysis, workshops, and workflow analysis, and express them in terms of target user roles and goals. Translate business needs into clear technical requirements, including AI-enabled workflows, decision logic, and specification-driven engineering inputs where appropriate.

Technical Persistence Layer/Legacy Database Design/Development

Lead design of complex database resources and provide physical modeling and design services to tune database solutions for optimum performance across multiple programs/domains.

Data Architecture

Drive the design, implementation, and evolution of robust, well-aligned architecture solutions that operate across the cross-product and domain ecosystem. Ensure architecture decisions support scalable data flows, integration patterns, and platform foundations for AI-enabled solutions where applicable.

Database Specifications

Approve database specifications, ensuring all agreed standards and protocols are followed and data integrity is preserved.

Information Security

Lead the detection and analysis of cybersecurity incidents, including attacks, breaches, and identified vulnerabilities, and remediate security gaps in line with incident management procedures. Ensure appropriate governance, controls, and risk management practices are applied to AI-enabled solutions and supporting operating models.

BEHAVIORAL COMPETENCIES

Tech Savvy

Anticipates and adopts innovations in business-building digital and technology applications. For example, ensures that the team has adequate resources to invest in technology advancements and the training to use them well. Deploys some new technologies to enhance effectiveness of the group and business.

Collaborates

Builds partnerships and works collaboratively with others to meet shared objectives. For example, readily involves others to accomplish goals; stays in touch and shares information; discourages "us versus them" thinking; shows appreciation for others' ideas and input.

Courage

Steps up to address difficult issues, saying what needs to be said. For example, shares own ideas and points of view openly, regardless of potential criticism or risk; shows conviction when faced with adversity and challenges; raises difficult topics to be sure they are addressed.

Decision Quality

Makes good and timely decisions that keep the organization moving forward. For example, knows when to act independently and when to escalate issues. Integrates various inputs, decision criteria, and trade-offs to make effective decisions. Typically makes good independent decisions.

Action Oriented

Takes on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm. For example, takes timely action on important or difficult issues. Identifies and pursues new opportunities that benefit the organization.

Customer Focus

Builds strong customer relationships and delivers customer-centric solutions. For example, keeps in contact with customers to ensure problems are resolved, or to improve customer service. Studies customer feedback and emerging customer needs and uses these to determine some creative new ideas.

Instills Trust

Gains the confidence and trust of others through honesty, integrity, and authenticity. For example, demonstrates integrity, upholding professional codes of conduct. Instills trust by following through on agreements and commitments despite competing priorities and by being honest and straightforward.

#LN-JN1

QUALIFICATIONS:

General Education

Bachelor's Degree or Equivalent Level Preferred

General Experience

Experience enables job holder to deal with the majority of situations and to advise others (6 to 10 years)

Managerial Experience

Experience of general supervision of more junior colleagues (7 to 12 months)

VIRTUAL REQUIREMENTS:

At DICK’S, we thrive on innovation and authenticity. That said, to protect the integrity and security of our hiring process, we ask that candidates do not use AI tools (like ChatGPT or others) during interviews or assessments.

To ensure a smooth and secure experience, please note the following:

• Cameras must be on during all virtual interviews.

• AI tools are not permitted to be used by the candidate during any part of the interview process.

• Offers are contingent upon a satisfactory background check which may include ID verification.

If you have any questions or need accommodations, we’re here to help. Thanks for helping us keep the process fair and secure for everyone!

Targeted Pay Range: $150,000 - $180,000. This is part of a competitive total rewards package that could include other components such as: incentive, equity and benefits. Individual pay is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all teammate pay regularly to ensure competitive and equitable pay. We also offer a generous suite of benefits. To learn more, visit www.benefityourliferesources.com.