SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 108,000 - 135,000 / annual
Fanatics Betting & Gaming (FBG) is building next-generation products to enhance the online sports betting experience. The Loyalty Engineering team is seeking a Software Engineer II to design, build, test, and maintain modern scalable backend services and APIs that power in-app loyalty experiences during major global sports moments.
You'll work with a skilled group of backend engineers in a collaborative, inclusive team culture. This role is ideal for engineers with 3+ years of professional experience in fast-paced or high-growth environments where priorities shift with the season and engineers are trusted to make decisions quickly and own outcomes.
Key Responsibilities:
- Contribute to the design, development, testing, documentation, and deployment of backend services and APIs
- Participate in on-call rotation and investigate/resolve production issues
- Collaborate with engineers, product managers, and stakeholders to deliver backend features and enhancements
- Engage in code reviews and team discussions to promote high-quality, maintainable systems
- Participate in sprint planning, architectural reviews, and continuous improvement initiatives
- Develop familiarity with systems, platform architecture, and customer use cases
- Stay current with backend technologies, tools, and engineering best practices
- Be open to occasional travel to FBG offices or industry events for collaboration and team-building
Required Qualifications:
- Minimum 3 years of professional industry experience in fast-paced or high-growth environments
- Proficiency in building backend systems using Java (Spring Framework or similar)
- Advanced understanding of RESTful API design, microservices architecture, and object-oriented programming principles
- Strong debugging and troubleshooting skills; confidence to dig into unfamiliar systems independently and judgment to know when to ask for help
- Experience working in production environments and resolving real-time issues
- Familiarity with relational or NoSQL databases and foundational data modeling concepts
- Strong communication and collaborative teamwork; supportive, coachable, and growth-oriented
- Comfortable using AI tools to accelerate development workflow
Preferred Qualifications:
- Familiarity with CI/CD pipelines, cloud platforms (AWS preferred), and modern DevOps practices
- Interest in scaling systems, distributed architectures, and performance optimization
- Desire to grow through mentorship, peer collaboration, and hands-on experience
- Experience in fast-paced, high-growth, or startup-like environments where priorities evolve and decisions are made quickly
- Experience with Datadog or other observability tools
