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Replay Operator Jobs in California (NOW HIRING)

Apple

Full Stack AI Systems Engineer

San Diego, CA · On-site

... operating LLM- or agent-based features in production environments over time Experience building or maintaining evaluation harnesses, audit trails, or replay infrastructure for AI systems Background ...

Primer

Software Engineer, Full-Stack

San Francisco, CA · On-site

... operating system for the entire school. We call it PrimerOS. It covers real estate, teacher ... Watching a session replay of a user having a bad experience with product you built makes you sick.

Archer

Senior Backend Engineer, Platform

San Jose, CA

$126K - $158K/yr

... and replay, then transform them into canonical entities. You are responsible for the "system of ... Experience building and operating distributed systems in production. * Go (or similar): Proficiency ...

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Replay Operator information

See California salary details

$13

$27

$44

How much do replay operator jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for replay operator in California is $27.39, according to ZipRecruiter salary data. Most workers in this role earn between $23.70 and $27.74 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a replay operator?

To thrive as a Replay Operator, you need a solid understanding of broadcast technology, video editing, and live sports production, often backed by experience in television or digital media environments. Familiarity with replay systems such as EVS, DreamCatcher, or similar broadcast hardware/software platforms is typically required. Strong attention to detail, quick decision-making, and excellent teamwork skills help Replay Operators deliver high-quality replays under pressure. Mastering these abilities is crucial for capturing key moments and ensuring smooth, reliable live broadcasts.

What does a typical shift look like for a replay operator during live sports events?

During live sports events, a Replay Operator works closely with directors, producers, and camera operators to capture, edit, and play back significant moments as they happen. Shifts often involve high-pressure periods of rapid decision-making, especially during crucial plays or reviews, along with downtime before or after the event for setup and review of footage. The role requires strong focus, responsiveness, and collaboration in a fast-paced control room setting. Replay Operators frequently work evenings, weekends, and holidays according to event schedules, making flexibility an asset. With experience, professionals in this field can grow into senior operator or production roles.

What does a replay operator do?

A Replay Operator is responsible for capturing, preparing, and playing back video replays during live broadcasts, such as sports events or television productions. They use specialized replay systems to review key moments, create slow-motion replays, and assist the production team in storytelling. This role requires quick decision-making, attention to detail, and technical proficiency with broadcast replay equipment. Replay Operators often work in fast-paced environments, ensuring high-quality replays are delivered in real-time.

What are popular job titles related to Replay Operator jobs in California? For Replay Operator jobs in California, the most frequently searched job titles are:
What job categories do people searching Replay Operator jobs in California look for? The top searched job categories for Replay Operator jobs in California are:
What cities in California are hiring for Replay Operator jobs? Cities in California with the most Replay Operator job openings:
Replay Operator jobs near you
Infographic showing various Replay Operator job openings in California as of July 2026, with employment types broken down into 71% Full Time, and 29% Part Time. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $56,965 per year, or $27.4 per hour.

Senior Site Reliability Engineer, AIOPs

NVIDIA

Santa Clara, CA • On-site

$67 - $89/hr

Full-time

Re-posted 11 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

Job Summary:
NVIDIA has been transforming computer graphics and computing for over 25 years, and they are seeking a Senior Site Reliability Engineer to join their innovative team. The role involves operating an AI Data Center AIOps platform, ensuring uptime, performance, and data integrity while collaborating with engineering teams to create actionable insights and automation.
Responsibilities:
• Continuously monitor platform health via dashboards/logs/metrics, automate recurring checks, and keep reliability + resource efficiency on track.
• Own Kubernetes deployments end-to-end (runbooks, canary checks, post-deploy validation), and lead rollbacks/remediations when needed.
• Lead first-level incident triage: collect diagnostics, identify likely root causes, and hand off clear, actionable findings to engineering.
• Build and maintain runbooks/SOPs/checklists, pushing continuous improvement through automation.
• Manage deployment infrastructure and packaging (Helm + Terraform/IaC) to keep environments scalable, consistent, and reproducible.
• Contribute in adjacent functional areas to grow and help your team members!
Qualifications:
Required:
• BS/MS in CS/CE (or equivalent experience) and 5+ years operating production distributed systems as SRE/DevOps/Platform Ops.
• Proven ownership of reliability for an observability/AIOps platform: SLOs/SLIs, on-call, addressing incidents, and follow-up evaluations that drive measurable improvements.
• Deep Kubernetes + containers experience (deploying, debugging, scaling) for telemetry-heavy microservices—ingestion, processing, storage, APIs, and UI.
• Automation-first approach: solid scripting (Python/Bash), CI/CD, and infrastructure-as-code (Terraform + Helm) to deliver safe rollouts (canaries/rollbacks), reproducible environments, and minimal toil.
• Clear communicator who writes excellent runbooks/docs and can translate ambiguous requirements into concrete operational practices and dependable customer-facing reliability.
Preferred:
• Strong Linux + networking fundamentals, distributed systems instincts, and hands-on ops for Kubernetes/services/streaming stacks are ideal; bonus for experience with observability platforms at scale.
• Experience building safe automation that operators trust: canary releases, automated rollback criteria, 'monitoring for the monitoring' (lag/drop/error budgets), and replay/backfill pipelines with correctness checks.
• Strong in distributed/streaming systems operations (Kafka/Pulsar, Flink/Spark, ClickHouse/Elastic/TSDBs, object storage)—and can reason about backpressure, hotspots, and failure domains end-to-end.
• Proven programming experience building automation tools or services — ideally in Python, or similar languages — to simplify operations and scale recurring processes.
• Proven experience running large‑scale production deployments and multiple Kubernetes environments or clusters across teams or customers, coordinating changes and rollouts with minimal disruption with hands‑on experience with observability tools — you know your way around dashboards, metrics, logs, and traces using platforms like Prometheus, Grafana, or similar.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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