Staff Java Software Engineer (Remote)

fanaticsfbg; United States; Remote; USD 170,000 - 230,000; Full time

Job summary

fanaticsfbg is seeking a Staff Java Software Engineer to lead technical direction for internal platforms powering customer operations, marketing, risk, and data systems. This senior IC role blends hands-on coding with architecture ownership and mentorship across teams, building scalable backend services, APIs, and SaaS/CRM integrations.

You will own the architecture for major services, drive design reviews, and develop resilient Java services with Spring Boot, handling high-throughput processing

Qualifications

• 8+ years of professional software engineering experience with deep Java expertise.
• Demonstrated ownership of architecture and delivery of complex production systems spanning multiple teams.
• Strong experience designing APIs and integrating distributed systems with sound judgment about consistency and failure handling.
• Track record of operating independently, defining approaches to ambiguous problems, and driving them to production.
• Experience operating services in production, including on-call ownership and incident response.
• Proficiency with Git-based workflows, code reviews, and CI/CD pipelines.

Responsibilities

• Own the architecture for major services, integrations, and data flows across internal platform systems.
• Lead design reviews for complex, cross-functional initiatives and align engineering teams on technical approaches.
• Build and maintain scalable, resilient Java backend services using frameworks such as Spring Boot.
• Tackle high-throughput event processing, complex multi-system integrations, and production incidents.
• Establish and evolve engineering standards covering API design, testing, observability, and deployment.
• Mentor engineers through design review, code review, and direct coaching.

Skills

Java

Spring Boot

API design

Distributed systems

Mentorship

On-call/Incident response

Leadership influence

Tools

Git workflows

CI/CD pipelines

AWS

Terraform

Kafka

Job description

Role overview

A digital sportsbook platform is hiring a Staff Java Software Engineer to lead technical direction for internal platforms that power customer operations, marketing, support, risk, and data systems. This senior individual contributor role combines hands-on engineering with architecture ownership, cross-functional influence, and mentorship. The team builds and maintains Java backend services, APIs, and integrations with SaaS and CRM platforms that business teams depend on.

Responsibilities

• Own the architecture for major services, integrations, and data flows across internal platform systems
• Lead design reviews for complex, cross-functional initiatives and align engineering teams on technical approaches
• Build and maintain scalable, resilient Java backend services using frameworks such as Spring Boot
• Tackle high-throughput event processing, complex multi-system integrations, and production incidents
• Establish and evolve engineering standards covering API design, testing, observability, and deployment
• Mentor engineers through design review, code review, and direct coaching

Requirements

• 8+ years of professional software engineering experience with deep Java expertise
• Demonstrated ownership of architecture and delivery of complex production systems spanning multiple teams
• Strong experience designing APIs and integrating distributed systems with sound judgment about consistency and failure handling
• Track record of operating independently, defining approaches to ambiguous problems, and driving them to production
• Experience operating services in production, including on-call ownership and incident response
• Proficiency with Git-based workflows, code reviews, and CI/CD pipelines

Nice to have

• Event-driven architecture experience at scale (Kafka or similar)
• Cloud environment experience, preferably AWS, including infrastructure-as-code
• Background in highly available or regulated industries such as gaming, fintech, or payments
• Familiarity with AI model or agent platforms and AI-powered coding assistants
• Exposure to Salesforce APIs, Apex, or Lightning Web Components