Software Engineer
Major League BaseballAbout the role
We’re looking for a Software Engineer to join Baseball Enterprise and become a key contributor on our team. You’ll build and own production applications and services that power MLB Club and League operations, collaborating closely within an agile team to deliver best-in-class solutions. The ideal candidate is a self-motivated engineer with strong experience in web application development and a proven ability to learn quickly and deliver high-quality results
Baseball Enterprise builds and operates core platforms that power MLB’s business across Clubs and League operations. Our work spans roster and player lifecycle management, broadcast and content operations, high scale APIs for clubs and the amateur ecosystem, on field technology that supports real time game workflows, event operations and logistics, and tooling that supports umpires. We care about reliability, performance, and a culture of thoughtful engineering, learning, and mentorship.
Responsibilities
- Develop production applications: Build and maintain services and user interfaces using core technologies such as Java, Spring Boot, TypeScript, React, PostgreSQL, Kafka, Google Cloud, Kubernetes, and more.
- Maintain and debug software: Instrument applications with logs, metrics, and traces; use them to diagnose and resolve production issues. Build dashboards and alerts, and participate in a minimally interruptive on-call rotation.
- Collaborate and communicate: Contribute across the full software development lifecycle—planning, requirements gathering, design, development, testing, and maintenance. Provide thorough code reviews, seek feedback on your own work, and partner with product owners to ensure a strong user experience and right-sized scope.
- Continuously improve quality: Add unit and integration tests, fix bugs, reduce technical debt, and stay current with evolving technologies.
- Use AI responsibly: Leverage AI tools such as code assistants, test generators, and documentation summarizers to accelerate work—validating outputs, citing sources when relevant, and always maintaining human review.
- Keep learning: Seek feedback, pair program, and grow skills across our stack, including backend, frontend, data, and cloud.
- Results-oriented: You work with your team to clarify ambiguous tasks, design and implement solutions efficiently, and communicate progress, challenges, and blockers effectively.
- Technically strong: You have broad and deep technical knowledge, capable of building applications end-to-end—from UI to database. You understand web application and microservice architectures and know when to apply transactional vs. eventual consistency models.
- Learner’s mindset: You’re always seeking to learn, ask thoughtful questions, and act quickly on feedback.
- Collaborative teammate: You communicate clearly and respectfully, foster a supportive team environment, and handle differing opinions with professionalism and openness.
- AI-augmented, not AI-dependent: You use AI tools to assist, not replace, thoughtful engineering and human judgment.
- Ownership and accountability: You take pride in your work, feel a deep sense of ownership, and reflect on both successes and setbacks to continually improve.
Qualifications & Skills
- 2+ years of professional experience designing, building, and maintaining large-scale, full stack system.
- Proficiency in at least one modern language such as Java, Python, TypeScript and Node, or Go.
- Demonstrated proficiency using a modern JavaScript framework.
- Hands-on experience in Web APIs and Git.
- A strong foundation with relational databases such as PostgreSQL and writing simple queries.
- Excellent problem-solving and communication skills, with a passion for collaborating in a fast-paced, agile environment.
- Exposure to containers and cloud concepts, or eagerness to learn quickly.
We'd be particularly excited if you have experience with the technologies we use to scale and secure our platform:
- Cloud Platforms: Hands-on experience with either GCP or AWS.
- Caching: knowledge of Redis or Valkey.
- Asynchronous Messaging: Familiarity with message brokers like ActiveMQ, Kafka, or RabbitMQ.
- Content Delivery Networks (CDNs):
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