Senior Engineer, DevOps

The role

You will design, build, and operate the cloud foundation for Live & Collect platforms across AWS and GCP. This role involves managing Kubernetes, networking, CI/CD pipelines, and database administration while applying AI/ML tooling to infrastructure.

What you will do

• Design, build, and maintain scalable, resilient infrastructure across AWS and GCP using Terraform.
• Own core cloud platform services including Kubernetes, networking, and CI/CD pipelines.
• Evaluate and integrate AI-assisted tooling to improve infrastructure efficiency and operations.
• Partner with product and platform engineering teams to architect cloud solutions.
• Administer and tune managed and self-hosted databases including Cloud Spanner, AWS RDS, and PostgreSQL.
• Drive reliability and cost-efficiency initiatives across multi-cloud environments.
• Champion DevOps best practices, scalable infrastructure patterns, and observability standards.
• Mentor engineers on cloud architecture, automation, and operational excellence.
• Participate in an on-call rotation to resolve production incidents.
• Contribute to security hardening, compliance, and disaster-recovery planning.

Required qualifications

• 5+ years of experience in cloud engineering, infrastructure, or SRE roles, with production experience in both AWS and GCP.
• Strong background with infrastructure-as-code and container orchestration (Kubernetes).
• Hands-on database administration and tuning experience with Cloud Spanner, AWS RDS, and PostgreSQL.
• Experience with CI/CD tooling and modern DevOps automation practices.
• Familiarity with AI/ML-powered tooling for infrastructure automation, monitoring, or operations.
• Solid scripting/programming ability (Python, Go, or similar).
• Demonstrated experience operating and troubleshooting large-scale, distributed, high-availability systems.
• Comfortable carrying on-call responsibilities and driving incidents to resolution under pressure.
• Strong communication skills and experience mentoring other engineers.
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.

Nice to have

• Experience supporting live events, auctions, or other high-traffic consumer platforms.
• Hands-on experience building or integrating AI/ML pipelines or infrastructure for AI workloads.
• Relevant cloud certifications (AWS or GCP).
• Familiarity with cost optimization and FinOps practices across multi-cloud environments.

About the company

Fanatics is building a leading global digital sports platform. Fanatics Collectibles is a new company operating at the intersection of collectibles, culture, and technology.