Site Reliability Engineer

🏢 Zefr · 📍 Marina del Rey, CA · 💼 hybrid · ⏰ FullTime

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Position Summary & Responsibilities

What we do:

Zefr is the leader in AI-powered content classifications for brands and advertisers. Zefr’s platform is purpose built for multi-modal content understanding on open platforms like YouTube, TikTok, Meta and Snap, with pre-bid activation and verification solutions. Our products safeguard media and AI investments, while maximizing performance and efficacy on those channels.

Headquartered in Los Angeles with global offices across New York, Chicago, London, Toronto, Singapore, and more, Zefr is redefining what trust and transparency means for social media in the age of AI.

What you’ll do:

As a Site Reliability Engineer at Zefr, you’ll join our Engineering team and grow your skills in cloud infrastructure, CI/CD, Observability, and core SRE concepts, helping deliver high-quality, reliable, and scalable solutions. You’ll work closely with the rest of Zefr’s Engineering and Data Science teams, ensuring the infrastructure behind our services is robust, efficient, and scalable.

We are looking for a passionate engineer to come collaborate and grow alongside our experienced SRE team. You bring curiosity, a strong work ethic, and a passion for continuous improvement and automation.

Support and build systems and tools that enable other engineers to deploy and manage product features both quickly and safely.
Help deploy and support our multi-cloud, micro-service architecture, deployed via Github Actions, ArgoCD & Kubernetes.
Write and maintain Infrastructure as Code with Terraform and Terragrunt, contributing changes through pull requests and code review.
Build and improve CI/CD pipelines and release workflows.
Help maintain the health of production environments, including monitoring application performance and resource utilization.
Participate in 24/7 on-call rotation, responding to system performance issues and outages alongside senior teammates.
Debug issues at the application and infrastructure level.

🎯 Candidate Preparation Guide For Zefr Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Measuring programmatic advertising brand safety expertise, machine learning classification accuracy, and massive dataset handling.

📋 Preparation Priorities (Key Areas to Clarify):

1. Displaying ignorance of current privacy regulations like GDPR, CCPA, and cookie deprecation
2. Confusing basic audience targeting with advanced contextual content understanding
3. Inability to handle massive scale and low-latency processing requirements in ad-tech

✨ Recommended Role Alignment Hook:

I protect brand equity at scale by developing advanced contextual ML classifiers that navigate complex ad-tech ecosystems safely.

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