招聘
Staff Backend Engineer
- Customer, Accounts & Transactions
(Fraud & Responsible Gaming)
Overview
As a Staff Backend Engineer at Fanatics Betting & Gaming (FBG), you will be the architectural owner of backend systems that safeguard our customers and ensure a trusted, compliant, and frictionless betting experience. You will design and evolve large-scale distributed systems that power fraud detection and responsible gaming capabilities focused on **customer identity, account management, and financial transactions **across mobile and web platforms.
This role blends deep backend technical expertise with architectural leadership. You will define the long-term technical vision for fraud prevention, identity verification, and responsible gaming enforcement — ensuring our systems are secure, reliable, and adaptive to evolving threats and regulations. You’ll collaborate closely with Risk, Compliance, and Product partners to build a platform that balances safety, user trust, and operational efficiency.
At FBG, we’re revolutionizing sports betting with a customer-first approach that prioritizes integrity, fairness, and innovation. As a technical leader in the CAT (Customer, Accounts & Transactions) domain, you’ll help shape the foundation of trust and safety for millions of Fanatics customers.
Responsibilities
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Own and evolve the backend architecture that powers fraud detection and responsible gaming features.
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Design and implement distributed systems in Java and Spring Boot, building scalable services and APIs for real-time risk evaluation, transaction monitoring, and behavioral analysis.
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Collaborate with Data Science, Risk, and Compliance teams to integrate fraud prevention models, transaction scoring engines, and responsible gaming rulesets into core backend flows.
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Architect event-driven systems leveraging technologies like Kafka to capture and analyze transactional and behavioral signals in real time.
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Lead large-scale technical initiatives, such as the modernization of fraud detection services, identity platform evolution, or real-time customer protection pipelines.
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Establish backend and API best practices, emphasizing security, observability, reliability, and compliance.
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Mentor and develop engineers, fostering a culture of technical excellence, accountability, and continuous learning.
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Partner with cross-functional teams—including frontend, mobile, product, and analytics—to ensure seamless and secure end-to-end user experiences.
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Champion responsible gaming and anti-fraud principles, helping define system patterns that promote fairness and regulatory alignment.
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Lead architectural reviews, incident postmortems, and design sessions, ensuring consistent improvement and knowledge sharing.
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Stay ahead of emerging fraud, identity, and responsible gaming technologies, and advocate for pragmatic adoption that strengthens our platform.
Be open to occasional travel to Fanatics offices or industry events for planning, collaboration, and team development.
Required Qualifications
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7+ years of professional software engineering experience, with deep expertise in Java and Spring Boot.
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Proven ability to design and evolve secure, high-scale, low-latency distributed systems.
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Strong understanding of authentication, authorization, payment systems, or fraud prevention patterns.
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Experience designing APIs and backend systems that integrate with risk, compliance, or regulatory services.
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Skilled at balancing performance, scalability, and compliance in high-traffic systems.
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Demonstrated success driving technical alignment and architectural strategy across multiple teams.
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Strong communicator who can clearly articulate complex technical solutions to engineering, product, and leadership audiences.
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Passion for customer protection, data integrity, and operational excellence.
Comfortable operating in a fast-paced, highly regulated environment with evolving priorities.
Preferred Qualifications
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Experience with AWS,Kubernetes, and observability tooling (Datadog, Grafana, CloudWatch).
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Familiarity with event-driven architectures,message streaming systems (Kafka), and real-time data pipelines.
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Exposure to machine learning integration for fraud detection or responsible gaming scoring.
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Experience building or modernizing identity, payments, or compliance platforms.
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Proven ability to lead cross-functional initiatives focused on trust, security, or user protection.
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Enthusiasm for developer experience, clean API design, and maintainable, resilient systems.
Remote employee may also be eligible for a home office setup stipend.
Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.
Ready to build the future of sports betting? If you possess some of these skills but not all of them, we still encourage you to apply! Please note that visa sponsorship is not available for this position. We are open to **fully remote candidates based in the United Kingdom. **Remote employee may also be eligible for a home office setup stipend.
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关于Fanatics

Fanatics
Series F+Fanatics, Inc. is a global digital sports platform that consists of several businesses, including licensed sports merchandise, trading cards and collectibles, sports betting and iGaming, special events, and live commerce.
10,001+
员工数
Jacksonville
总部位置
$27B
企业估值
评价
2.6
10条评价
工作生活平衡
2.5
薪酬
2.8
企业文化
3.2
职业发展
3.5
管理层
2.0
35%
推荐给朋友
优点
Friendly coworkers and employees
Learning opportunities and growth
Fast-paced productive environment
缺点
Poor management behavior and disrespect
Limited PTO and sick leave policies
Long workdays and mandatory overtime
薪资范围
288个数据点
Junior/L3
Mid/L4
Senior/L5
Staff/L6
Junior/L3 · Manager Business Analyst Forecasting
1份报告
$149,500
年薪总额
基本工资
$130,000
股票
-
奖金
-
$149,500
$149,500
面试经验
3次面试
难度
3.7
/ 5
时长
14-28周
体验
正面 0%
中性 0%
负面 100%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Final Interview
6
Offer
常见问题
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
System Design
新闻动态
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