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About the Role

As a Staff Platform Engineer, you will set technical direction, design durable platform abstractions, and partner closely with senior engineers, engineering managers, and product leadership to ensure our platform enables rapid innovation without compromising stability, security, or compliance. This role blends deep hands-on engineering expertise with systems thinking and influence. You will lead complex cross-team initiatives, establish best-in-class platform standards, and mentor engineers while remaining directly involved in building and operating core platform capabilities. We are pioneering the use of AI as a code collaborator and need engineers who actively use AI tools to ship production code faster while maintaining exceptional quality standards.

Responsibilities

Define and document enterprise-wide standards for AI integration, establishing prompt engineering patterns and validation frameworks.
Orchestrate the identification of AI-generated code pitfalls and quantify business impact through PR velocity and quality metrics.
Lead the design and evolution of highly available, scalable infrastructure.
Architect robust CI/CD ecosystems and developer tooling to eliminate friction in the software delivery lifecycle.
Serve as a subject matter expert for platform security, implementing safeguards and compliance standards.
Drive the strategic roadmap for system observability, implementing advanced monitoring, tracing, and alerting architectures.
Act as a primary technical liaison between engineering, product, and quantitative teams to translate complex requirements into scalable platform solutions.
Foster a culture of high performance and continuous learning, mentoring engineers, managing incident response, and advocating for transformative technologies.

Requirements

8 plus years of experience in platform engineering or DevOps.
Proven track record of architecting scalable, high-availability cloud-native environments (AWS/Kubernetes).
Expert proficiency in using AI collaborators (Claude Code, Cursor, Copilot) to ship production code.
Documented ability to optimize personal and team development workflows.
Demonstrated capability to articulate the pros/cons of various AI tools and implement rigorous validation strategies.
Deep technical mastery of IaC frameworks such as Terraform, Pulumi, or CloudFormation.
Strong programming proficiency in Java and Python (Golang preferred) with a full-stack background.
Extensive experience building mature CI/CD pipelines and implementing advanced observability, chaos testing, and incident management frameworks.
Self-directed leader who thrives in ambiguous environments, balancing high-quality architectural standards with data-driven productivity metrics.
Exceptional communication and partnership skills, with a proven ability to influence engineering, product, and quant teams.
Team-first mentality focused on driving operational excellence, mentoring others, and proactively adopting emerging technologies.

Skills

Platform Engineering
DevOps
AWS
Kubernetes
AI Code Collaborators (Claude Code, Cursor, Copilot)
Prompt Engineering
IaC (Terraform, Pulumi, CloudFormation)
Java
Python
Golang
CI/CD
Observability
Chaos Testing
Incident Management

Location

United Kingdom

Work Type

Remote

Experience Level

Staff

Benefits

Home office setup stipend

About the Company

Fanatics is building a leading global digital sports platform, igniting the passions of global sports fans and maximizing the presence and reach for its hundreds of sports partners globally.
The company operates across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming.
Fanatics has an established database of over 100 million global sports fans, a global partner network with approximately 900 sports properties, 2,500 athletes and celebrities, and over 2,000 retail locations.
The company has over 22,000 employees committed to enhancing the fan experience globally.