ZipRecruiter

Log In

1

Super Bowl Security Jobs (NOW HIRING)

fox com

Senior Video Player Engineer, Roku

Tempe, AZ · On-site

$143 - $161/hr

FOX is responsible for delivering the largest LIVE events on TV - including the 2023 Super Bowl ... Work on performance, scalability, security, architecture and engineering best practices * Provide ...

Fox

Senior Video Player Engineer, Roku

Tempe, AZ

$143K - $161K/yr

FOX is responsible for delivering the largest LIVE events on TV - including the 2023 Super Bowl ... Work on performance, scalability, security, architecture and engineering best practices * Provide ...

On Location

Director, Venue and AVT Delivery

Los Angeles, CA · On-site

$228K/yr

... Super Bowl, NCAA Final Four, and more. An official partner and/or service provider to over 150 ... Health, Safety & Security Leadership Provide operational support to the Health & Safety, Medical ...

previous page

Showing results 41-60

All JobsSuper Bowl Security Jobs

Super Bowl Security information

See salary details

$28K

$67.7K

$162K

How much do super bowl security jobs pay per year?

As of Aug 7, 2026, the average yearly pay for super bowl security in the United States is $67,675.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,000.00 and $81,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in Super Bowl security, and why are they important?

To thrive as Super Bowl Security, candidates typically require a background in law enforcement or security, strong situational awareness, and the ability to follow strict protocols. Familiarity with surveillance systems, metal detectors, access control tools, and crowd management techniques is often necessary, alongside certifications such as a state-issued security license. Outstanding communication skills, teamwork, and the ability to remain calm under pressure are highly valued soft skills. These competencies are crucial to ensuring the safety of attendees, staff, and players during a high-profile, fast-paced event like the Super Bowl.

What does a typical day look like for someone working in Super Bowl security?

A typical day for Super Bowl Security personnel often includes pre-event briefings, performing thorough security checks, monitoring assigned areas, and quickly responding to incidents or emergencies. You may work closely with law enforcement, event staff, and emergency services to coordinate crowd control and maintain a safe environment. Team members are usually assigned rotating shifts to ensure continuous coverage before, during, and after the game. It is a dynamic, fast-paced environment that requires constant vigilance, strong teamwork, and a readiness to handle large crowds and potential security threats.

What is Super Bowl security?

A Super Bowl Security job involves ensuring the safety of players, fans, and staff during the event. Responsibilities may include screening guests, monitoring crowds, patrolling designated areas, and responding to security incidents. Security personnel work closely with law enforcement and event staff to prevent unauthorized access and manage emergencies. This role requires strong attention to detail, quick decision-making, and the ability to handle high-pressure situations.

More about Super Bowl Security jobs
What cities are hiring for Super Bowl Security jobs? Cities with the most Super Bowl Security job openings:
What are the most commonly searched types of Super Bowl Security jobs? The most popular types of Super Bowl Security jobs are:
What states have the most Super Bowl Security jobs? States with the most job openings for Super Bowl Security jobs include:
What job categories do people searching Super Bowl Security jobs look for? The top searched job categories for Super Bowl Security jobs are:
Super Bowl Security jobs near you
Infographic showing various Super Bowl Security job openings in the United States as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $67,675 per year, or $32.5 per hour.

MLOps / ML Platform Engineer

SumerSports LLC

Remote

Full-time

Medical, Retirement

Re-posted 21 days ago

Job description

SumerSports is a leading football intelligence technology company that specializes in providing an innovative suite of products for football fans and NFL clubs. We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs, technology startups, finance, and academia.
Our data-driven platform empowers teams with insights and tools to make informed decisions within salary cap constraints. The platform also serves the NCAA, offering insights around the transfer portal and more.
What sets us apart is our unique blend of big tech talent, data scientists, and former NFL personnel, who have a combined 600+ years of NFL experience. Our domain knowledge is augmented by AI and machine learning technologies to create a unique view into many aspects of Football.
As an MLOps/ML Platform Engineer, you'll build and operate the core systems that power our machine learning and AI workloads across sports domains. You'll own the infrastructure that keeps our models fast, reliable, and cost-efficient - from data ingestion and training to model serving, deployment, and observability.
This is a hands-on engineering role that blends software infrastructure, distributed systems, and machine learning productionization. You'll work closely with our Deep Learning Research, LLMOps, and Product Engineering teams to ensure that every model we build can be trained, deployed, and monitored at scale.
Responsibilities:
  • Design and operate ML infrastructure: Manage data, training, serving, and inference systems for high-throughput model workflows.
  • Build scalable pipelines: Implement reproducible training and evaluation pipelines with versioning, scheduling, and artifact tracking.
  • Optimize compute and cost: Tune GPU and CPU workloads, manage clusters, and drive efficiency via rightsizing, spot scheduling, and caching.
  • Serve models in production: Operate APIs for low-latency inference with autoscaling, blue-green or canary rollouts, and rollback safety.
  • Ensure reliability and observability: Define and own SLOs; instrument pipelines and services to track latency, cost, drift, and data quality.
  • Secure and automate: Manage IAM, secrets, and container security; automate deployment pipelines via CI/CD and infrastructure as code.
  • Collaborate cross-functionally: Partner with research scientists and AI engineers to deliver models from experiment to production with minimal friction.
  • Document and enable: Build templates, runbooks, and internal tooling that make ML workflows repeatable, safe, and fast.

Qualifications:
  • 4+ years of experience in ML platform, DevOps, or infrastructure engineering.
  • Deep knowledge of Kubernetes, CI/CD, containers, and cloud infrastructure (AWS, GCP, or Azure).
  • Hands-on experience managing GPU clusters and training/inference pipelines.
  • Familiarity with data orchestration and storage formats (Delta, Parquet, Polars, Spark).
  • Proven ability to ship and operate production ML systems with SLOs.
  • Strong Python skills and comfort with infrastructure as code and automation.
  • Experience with observability and cost optimization at scale.

Nice to Have:
  • Experience with real-time or low-latency model serving (REST, gRPC).
  • Exposure to model registry and promotion workflows.
  • Familiarity with data quality, lineage, and curation pipelines.
  • Background in sports analytics or other high-volume data domains.
  • Experience integrating LLM workflows or evaluation pipelines.

Benefits:
  • Competitive Salary and Bonus Plan
  • Comprehensive health insurance plan
  • Retirement savings plan (401k) with company match
  • Remote working environment
  • A flexible, unlimited time off policy
  • Generous paid holiday schedule - 13 in total including Monday after the Super Bowl

Apply