AI Software Engineer III – Platform

🕒 May 28

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Fanatics, Inc.

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

🎮 Gaming

🛒 Retail

🛍️ eCommerce

Gaming • Retail • eCommerce

Fanatics is building a leading global digital sports platform that aims to enhance the fan experience for over 100 million sports enthusiasts worldwide. The company operates across several divisions including Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming. They offer fans the opportunity to buy licensed fan gear, jerseys, lifestyle products, and headwear, collect physical and digital trading cards, sports memorabilia, and other digital assets, as well as engage in sports betting. Fanatics partners with over 900 sports properties globally, including major leagues, teams, and athletes, and operates more than 2,000 retail locations. The company is committed to corporate responsibility with a focus on philanthropy, diversity and inclusion, brand protection, and sustainability.

📋 Description

• Design, build, and maintain scalable platform services and developer tooling using Go and JavaScript/TypeScript. • Own and evolve CI/CD pipelines (GitHub Actions, GitLab, or similar), from build and test to deployment and observability. • Build reusable, composable platform components (APIs, SDKs, CLI tools) that accelerate engineering velocity. • Architect cloud-native solutions on AWS (Lambda, ECS, S3, API Gateway, CloudWatch) following security and cost best practices. • Build and maintain the Quality Engineering platform, including test automation frameworks, test data management, and reporting dashboards. • Integrate automated testing (unit, integration, E2E, contract) into CI/CD pipelines to ensure quality gates are enforced on every commit. • Develop tooling for test observability: flakiness detection, coverage tracking, test result aggregation, and failure triage. • Collaborate with QA and development teams to define quality standards and enable shift-left testing practices. • Integrate AI-powered developer tools (GitHub Copilot, Claude Cowork, Codex, LLM-based agents) into platform workflows to boost productivity. • Build AI-assisted code review, test generation, and documentation pipelines using LLM APIs and prompt engineering. • Implement AI-driven quality checks for anomaly detection, intelligent flaky test classification, and automated root cause analysis. • Build observability into all platform services for metrics, structured logging, distributed tracing, and alerting. • Identify bottlenecks and proactively remediate issues before they impact development teams.

🎯 Requirements

• Bachelor’s degree or higher in Computer Science, Software Engineering, Information Technology, or a closely related field. • 3-5 years of experience in software development with strong focus on data structures and algorithms • 3+ years of experience building production-grade web applications and microservices • Mastery of at least one modern programming language (Java, JavaScript/TypeScript, Go) • Deep understanding of algorithms, data structures, concurrency, memory management, debugging, and optimization • Experience with JavaScript, HTML, CSS, and responsive design principles. • Expertise in building RESTful / GraphQL APIs, microservices architecture, and event-driven systems • Strong knowledge of SQL (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Redis, DynamoDB) • Write efficient queries and understand database performance optimization techniques. • Work with AWS (or other cloud providers) utilizing services such as EC2, S3, and Lambda. • Understand cloud security best practices. • Good problem-solving and debugging skills. • Collaborate effectively with other engineers, product managers, and designers. Clearly communicate technical information to both technical and non-technical audiences. • Proficiency using AI-powered development tools (GitHub Copilot, Amazon Code Whisperer, Claude Code, ChatGPT) for code generation, refactoring, and documentation • Understanding of prompt engineering and LLM integration patterns • Knowledge of AI-assisted testing, code review, and quality assurance tools

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options