Software Engineer III - Platform, Fanatics Markets

Software Engineer III - Platform, Fanatics Markets

United Kingdom (Remote)

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.

Role Overview

As a Software Engineer III, Platform
, you will be a key driver of our core infrastructure and developer experience. You will design and implement durable platform abstractions and partner with engineering leads to ensure our systems enable rapid innovation without compromising stability or security.

This role requires a balance of deep hands‑on engineering and systems thinking. You will own complex features from ideation to production, championing best‑in‑class platform standards and mentoring mid‑level engineers while remaining deeply embedded in the codebase.

On the engineering side, we are pioneering the use of AI as a code collaborator. We need engineers who have moved beyond experimentation—who actively use tools like Claude Code, Cursor, or Git Hub Copilot to ship production code faster while maintaining exceptional quality.

• Implement team‑level standards for AI‑augmented development, utilizing prompt engineering and validation frameworks to increase velocity without sacrificing code quality.
• Identify and mitigate AI‑generated code pitfalls, such as security vulnerabilities or over‑abstraction, and assist in tracking team productivity metrics.
• Design, build, and maintain highly available cloud‑native infrastructure, ensuring the platform scales reliably with our growing user base.
• Build and optimize CI/CD pipelines and developer tooling to eliminate friction in the software delivery lifecycle.
• Implement and maintain platform security safeguards and compliance standards to protect the integrity of the firm’s systems.
• Contribute to the system observability roadmap by implementing monitoring, tracing, and alerting to ensure high operational reliability.
• Partner with product and engineering teams to translate technical requirements into scalable platform solutions.
• Mentor junior and mid‑level engineers, lead incident response for team‑owned services, and advocate for modern engineering best practices.

• 5 plus years of experience in platform engineering, Dev Ops, or backend engineering, with a track record of building scalable, cloud‑native environments (AWS/Kubernetes).
• Strong proficiency in using AI collaborators (Claude Code, Cursor, Copilot) to ship production code and an ability to optimize personal development workflows.
• Ability to evaluate AI‑generated code for security gaps or architectural "hallucinations" and implement testing strategies.
• Strong hands‑on experience with IaC frameworks such as
  Terraform
  , Pulumi, or Cloud Formation.
• High proficiency in Java and Python (Golang is a plus). You should be comfortable bridging the gap between infrastructure and application logic.
• Experience building mature CI/CD pipelines and working with observability tools (e.g., Prometheus, Grafana, Datadog).
• Proven ability to take ownership of complex projects in a fast‑paced environment, balancing speed with architectural health.
• Strong communication skills and the ability to collaborate effectively with distributed engineering and product teams.

• Experience in high‑growth startup environments.
• Experience with financial systems, real‑money transactions, or regulatory compliance.
• Background in building internal developer tools or CLI applications.
• Experience leading small project groups or "squads" within a larger team.

We are serious about AI‑augmented development. During our technical interviews, be prepared to:

• Demo your current AI‑assisted workflow (e.g., how you use Cursor or Copilot).
• Discuss specific examples of how you’ve used AI to solve complex technical hurdles.
• Share your strategies…