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Senior Software Engineer, Full-Stack Development

Philadelphia, PA

Title: Software Engineer II / Senior Software Engineer, Full-Stack Development (Title dependent on experience and evaluation)
Department: Baseball Research and Development
Report to: Director, Software Engineering
Status: Regular Full-Time

 

Position Overview:

The work of a Software Engineer (Full-Stack Application Engineering) extends well beyond merely coding. Phillies Engineering takes a product-centered approach in creating the platform, systems, and tooling that empower our entire organization to spend more time thinking about baseball. We turn data into information into action. As a member of our team, you will work across the technical stack to develop our baseball application platform. You partner closely with Phillies R&D leadership, engineers, and data scientists to identify the most impactful problems to tackle, and then deliver robust solutions on time. With your technical knowledge and experience, you create visually engaging, user-friendly, and highly performant data-driven platforms that allow users to interact with large complex datasets in intuitive ways. In this role, your ability to craft elegant front-end interfaces paired with robust back-end systems, including API development, impact decision-making at the highest level across the Phillies organization. In addition to Baseball R&D, you will collaborate with end-users across Baseball Operations, Scouting, Player Development and the Major League Coaching Staff. Specific areas of focus may include, but are not limited to, the draft, free agency, player evaluation, player development, applied biomechanics, and in-game strategy.


Responsibilities:

  • Design and develop web-based applications to support Baseball Operations decision-makers and the research arm of Baseball R&D, translating complex datasets and requirements into intuitive, interactive, and engaging products.
  • Apply strong design skills to ensure a seamless user experience and implement clean, responsive, and aesthetically pleasing UIs that enhance data interaction.
  • Collaborate with backend and machine learning engineers to optimize the performance of data-heavy applications, ensuring smooth rendering and responsiveness.

Required Qualifications:

  • At least 3 years of professional experience in full-stack web development, with a focus on responsive design and interactive, data-driven user interfaces.
  • Fluency with JavaScript and familiarity with modern front-end development frameworks (e.g. React, Angular, Vue, Svelte). TypeScript experience is a plus.
  • Strong experience with UI/UX design patterns and research, as well as familiarity with collaborative design tools (e.g. Figma, Sketch, Adobe XD).
  • Experience with back-end languages and technologies (e.g. Node.js, Python, SQL) and familiarity with relational databases (e.g. MySQL, Postgres).
  • Excellent communication skills when discussing application development concepts with technical and non-technical colleagues.
  • Proven leadership and self-direction.

Preferred Qualifications:

  • BS, Master’s, PhD degree, or further education in engineering, computer science or other technical related fields or equivalent practical experience
  • Advanced proficiency with interactive data visualization libraries (e.g. D3, Victory, visx, ThreeJS, Plotly, or similar)
  • Experience building and maintaining RESTful APIs and familiarity with modern API (e.g. FastAPI, Flask, Express) and ORM frameworks (e.g. SQLAlchemy, Sequelize, Prisma)
  • Solid understanding of cloud infrastructure and data warehousing (e.g. Google Cloud, AWS, Azure, Snowflake) and containerization tools like Docker.
  • Familiarity with integrating machine learning models with front-end applications to enhance data interactivity and decision-making.
  • Passion for working in sports analytics.

Application Question - all interested applicants are required to attach a response to the following prompt:

Briefly (<250 words) describe a time when you developed a complex data visualization in a real-world front application. What were some optimization bottlenecks you encountered and how did you approach them? Include specific technical tradeoffs you made between design and performance (e.g. state management, frameworks, libraries). Knowing what you know now, what would you do differently if you were to build it again?

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.

 

 

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Briefly (<250 words) describe a time when you developed a complex data visualization in a real-world front application. What were some optimization bottlenecks you encountered and how did you approach them? Include specific technical tradeoffs you made between design and performance (e.g. state management, frameworks, libraries). Knowing what you know now, what would you do differently if you were to build it again?*

Accepted file types: pdf, doc, docx, txt, rtf


U.S. Standard Demographic Questions

We appreciate your interest in joining our team and taking the time to complete this demographic survey. Your participation in this survey is entirely voluntary and will not impact the consideration of your application.

Please be assured that the information provided in this survey is strictly confidential and will not be directly tied to your application. The data collected will be used solely for the purpose of monitoring and improving our equal employment opportunity and diversity initiatives.

Your individual responses will be aggregated with those of other applicants to maintain anonymity and confidentiality. No personally identifiable information will be disclosed.

Thank you for your cooperation and understanding.

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