Staff Engineer - Platform, Fanatics Markets

About Fanatics Markets

Fanatics Markets is the real-money prediction and trading app where you can invest in moments you care about. Built on a secure platform, we let users predict real-world outcomes and trade on events they actually follow - from sports and entertainment to political elections and beyond. Our mission is to redefine how fans engage with the moments and markets that matter most. We're looking for the right people to help us build the future of prediction markets.

Overview

This role combines infrastructure expertise, software engineering principles, and strategic insight to foster a robust engineering ecosystem. You’ll champion DevOps culture, streamline development workflows, enhance system resilience, and provide the essential tools and automation needed for our software engineers to deliver innovative, market-leading products.

On the engineering side, we're pioneering the use of AI as a code collaborator. We need engineers who have gone beyond experimentation—who actively use Claude Code, Cursor, GitHub Copilot, or similar tools to ship production code faster while maintaining exceptional quality standards. If you have strong opinions about AI-augmented development workflows backed by real experience, we want to talk with you.

Responsibilities

• Leverage AI tools to accelerate development velocity while maintaining code quality standards
• Establish and document team standards for AI tool usage (prompt patterns, code review checklists, validation strategies)
• Measure and report on AI tool ROI through concrete metrics (PR velocity, bug rates, test coverage)
• Identify and prevent common AI-generated code pitfalls (over-abstraction, missing edge cases, security vulnerabilities)
• Architect, build, and maintain highly available and scalable platform infrastructure to support our engineering teams.
• Design and implement robust CI/CD pipelines, automation tools, and developer tooling to streamline deployments, improve code quality, and enhance team productivity.
• Enhance platform security, implementing best practices to ensure compliance and safeguard the integrity of our systems.
• Collaborate closely with software engineers, product teams, and quant analysts to understand requirements and proactively deliver solutions that accelerate product development and innovation.
• Drive continuous improvements to operational processes, platform reliability, documentation, monitoring, and alerting systems.
• Foster a culture of operational excellence, sharing knowledge, and promoting best practices across teams.
• Support and enhance system observability through effective monitoring, logging, tracing, and alerting strategies.
• Stay abreast of emerging technologies and industry trends, advocating for adoption of new tools and techniques that align with our platform strategy.
• Participate in an on-call rotation, ensuring platform stability and providing critical support for operational incidents.
• Occasionally travel for essential offsite meetings, special events, or collaborative team sessions.

Qualifications

• 7+ years of proven experience in platform engineering, DevOps, or related infrastructure roles .
• Application development experience (fullstack preferred).
• Strong technical expertise in cloud-native environments (AWS preferred), infrastructure automation, and container orchestration (Kubernetes preferred).
• Demonstrated proficiency in Infrastructure as Code systems such as Terraform, Pulumi, or CloudFormation.
• Experience implementing and maintaining mature CI/CD release pipelines.
• Proficiency with programming and scripting languages (Java and Python preferred; Golang is a bonus).
• Experience with observability tooling, chaos testing, and incident management.
• Excellent influencing, problem-solving, and analytical skills, with demonstrated ability to partner closely with engineering teams.
• Highly outcome-oriented, data-driven, and capable of balancing quality with productivity.
• Strong communication skills, able to effectively collaborate across international teams.
• Positive and flexible attitude, comfortable working in a fast-paced environment and embracing new initiatives.
• Demonstrated experience using AI tools (Claude Code, Cursor, Copilot, etc.) to ship production code
• Can articulate specific examples of AI workflow improvements (e.g., "reduced boilerplate generation time by 40%")
• Has developed personal strategies for validating AI-generated code and identifying common pitfalls
• Can compare at least 2-3 AI tools with concrete pros/cons from actual usage
• Team-first mentality with willingness to jump in wherever needed