Job description

About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. Fanatics Collectibles is a new company operating at the intersection of collectibles, culture, and technology. Backed by world-class investors, operators, and sports & entertainment partners, we are building the global leader in next-generation collectibles. As part of the broader Fanatics ecosystem, we leverage a digital sports platform that spans over 900 sports properties and engages more than 81 million fans. Together, we are reimagining every part of the collectibles experience for fans, partners, and creators. About the Role We're looking for a Senior Engineer, DevOps to join the Live & Collect Infrastructure team in Los Angeles. You'll design, build, and operate the cloud foundation that powers Fanatics' Live & Collect platforms across AWS and GCP. This is a hands-on role for someone who enjoys solving hard infrastructure problems at scale, applying AI/ML tooling to infrastructure and operations, mentoring other engineers, and championing DevOps maturity across the org. What You'll Do Design, build, and maintain scalable, resilient infrastructure across AWS and GCP using infrastructure-as-code (Terraform). Own core cloud platform services — Kubernetes, networking, and CI/CD pipelines. Evaluate and integrate AI-assisted tooling (e.g., LLM-based automation, AIOps, intelligent monitoring) to improve infrastructure efficiency and operations. Partner with product and platform engineering teams to architect cloud solutions that support high-traffic, high-availability Live & Collect systems. Administer and tune managed and self-hosted databases (Cloud Spanner, AWS RDS, PostgreSQL), including performance tuning, capacity planning, backup/recovery, and query optimization. Drive reliability and cost-efficiency initiatives across multi-cloud environments. Champion DevOps best practices, scalable infrastructure patterns, and observability standards across engineering teams. Mentor engineers on cloud architecture, automation, and operational excellence. Participate in an on-call rotation, responding to and resolving production incidents to meet SLAs. Contribute to security hardening, compliance, and disaster-recovery planning for cloud infrastructure. What We're Looking For 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 (Terraform preferred) and container orchestration (Kubernetes). Hands-on database administration and tuning experience with Cloud Spanner, AWS RDS, and PostgreSQL (performance tuning, replication, backup/recovery, capacity planning). Experience with CI/CD tooling and modern DevOps automation practices. Familiarity with AI/ML-powered tooling for infrastructure automation, monitoring, or operations (e.g., AIOps platforms, LLM-based automation, copilots for infra/ops workflows). Solid scripting/programming ability (Python, Go, or similar) for automation and tooling. 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. Ensure your Fanatics job offer is legitimate and don’t fall victim to fraud. Fanatics never seeks payment from job applicants. Feel free to ask your recruiter for a phone call or other type of communication for interview, and ensure your communication is coming from a Fanatics email address (including @collectfanatics.com). For added security, where possible, apply through our company website at www.fanaticsinc.com/careers The salary range represents base pay only and does not include short-term or long-term incentive compensation. This salary range is specific to Los Angeles and may not be applicable to other locations. When determining base pay, as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training. For information about our benefits, please visit benefitsatfanatics.com Los Angeles Salary Range $144,000 — $180,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Requirements

Must-haves

Design, build, and maintain scalable, resilient infrastructure across AWS and GCP using infrastructure-as-code (Terraform).
Own core cloud platform services — Kubernetes, networking, and CI/CD pipelines.
Evaluate and integrate AI-assisted tooling (e.g., LLM-based automation, AIOps, intelligent monitoring) to improve infrastructure efficiency and operations.
Partner with product and platform engineering teams to architect cloud solutions that support high-traffic, high-availability Live & Collect systems.
Administer and tune managed and self-hosted databases (Cloud Spanner, AWS RDS, PostgreSQL), including performance tuning, capacity planning, backup/recovery, and query optimization.
Drive reliability and cost-efficiency initiatives across multi-cloud environments.
Champion DevOps best practices, scalable infrastructure patterns, and observability standards across engineering teams.
Mentor engineers on cloud architecture, automation, and operational excellence.
Participate in an on-call rotation, responding to and resolving production incidents to meet SLAs.
Contribute to security hardening, compliance, and disaster-recovery planning for cloud infrastructure.
5+ years of experience in cloud engineering, infrastructure, or SRE roles, with production experience in both AWS and GCP.
Hands-on database administration and tuning experience with Cloud Spanner, AWS RDS, and PostgreSQL (performance tuning, replication, backup/recovery, capacity planning).
Experience with CI/CD tooling and modern DevOps automation practices.
Familiarity with AI/ML-powered tooling for infrastructure automation, monitoring, or operations (e.g., AIOps platforms, LLM-based automation, copilots for infra/ops workflows).
Solid scripting/programming ability (Python, Go, or similar) for automation and tooling.
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.

Nice-to-haves

Strong background with infrastructure-as-code (Terraform preferred) and container orchestration (Kubernetes).
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.
By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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