Platform Engineer

The Florida Panthers • Sunrise, FL

3h • Onsite

About The Position

We are seeking a Platform Engineer with 1–3 years of experience to join our Data Science team and help build the backend infrastructure that powers our internal AI applications, automations, and data products. Operating 100% on-site at our Sunrise offices, you will work hands-on with our AWS-based platform — designing the services, pipelines, and orchestration logic that the rest of the engineering team builds upon. While we value experience with applied AI or cloud infrastructure, we are primarily looking for a strong engineering foundation with elite Python skills; if you bring the technical horsepower, we will provide the industry context and the platform to see your work directly support a championship organization.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, or a related technical field.
• 1–3 years of experience in backend engineering, platform engineering, data engineering, or a similar infrastructure-intensive role.
• Solid proficiency in Python, with a focus on writing maintainable, production-ready code for backend services.
• Hands-on experience designing and operating services on a major cloud platform; AWS strongly preferred.
• Working knowledge of relational databases (e.g., Postgres, Redshift) and SQL.
• Experience with version control (Git), Docker, and Linux command-line environments.
• Ability to work full-time, on-site at our Sunrise, FL offices. This role is based 100% in-person to support close collaboration with the broader BI team and cross-functional stakeholders.

Nice To Haves

• Experience with infrastructure-as-code tools such as Terraform.
• Experience with workflow orchestration (e.g., Prefect) and event-driven architectures using message queues.
• Exposure to LLM applications, retrieval-augmented generation (RAG), vector databases, or AI agent frameworks.
• Experience building and maintaining REST APIs or other service interfaces consumed by internal applications.
• A passion for sports analytics or previous experience within the sports and entertainment industry.

Responsibilities

• Design, build, and maintain backend services in Python that run on our AWS infrastructure (ECS/Fargate, SQS, RDS, Lambda) and serve as the foundation for AI applications across the organization.
• Architect and contribute to data pipelines that move information between Redshift, internal applications, and AI agents, ensuring our infrastructure is efficient, reliable, and scalable.
• Extend our internal AI agent platform by writing services that support agents, integrations, and orchestration logic for use cases across every revenue-generating department.
• Build and manage cloud infrastructure as code using Terraform, transforming manual configuration into production-grade, repeatable deployments.
• Establish and maintain monitoring, logging, and cost-tracking practices to guarantee the reliability and efficiency of all production services.
• Build and maintain automated deployment pipelines (CI/CD) and participate in code reviews and architectural discussions with the broader engineering team.
• Collaborate closely with the Automation Engineer and Product Engineer on shared services and integration points that span the full stack.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level