--- title: 'Site Reliability Engineer at Zefr' canonical: 'https://feeny.ai/job/site-reliability-engineer-zefr-marina-del-rey-9v9w2ngd5s2z' type: 'job' last_seen: '2026-10-16' --- # Site Reliability Engineer at Zefr - **Company:** Zefr - **Location:** Marina Del Rey, CA - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-10-07 - **Last confirmed live:** 2026-10-16 - **Apply:** https://jobs.ashbyhq.com/zefr/4e71ac5e-0785-4d2a-a752-fe23740250d1 ## Job description 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. - Write and maintain clear documentation and runbooks. - Contribute to our DevOps culture and philosophy of continuous improvement. Technology Stack at Zefr: - Cloud Providers: Google Cloud Platform (primary), Amazon Web Services - Infrastructure as Code (IaC): Terraform, Terragrunt - Containerization & Orchestration: Docker, Kubernetes (GKE) - CI/CD: GitHub Actions, Argo CD - Primary Language: Python - Observability: Prometheus, OpenTelemetry, Chronosphere, Pagerduty - Application Languages/Frameworks: Python, FastAPI, Flask, Node.js, React - Workflow Orchestration: Apache Airflow, Ray - Relational Databases: PostgreSQL - NoSQL Databases: DynamoDB - Search Databases: OpenSearch - Data Warehousing: Snowflake What we’re looking for: - 1-3 years of experience supporting Cloud Infrastructure in a production environment using AWS and/or GCP - Hands-on experience with containers and Kubernetes - Competency in Python and shell scripting - Strong problem-solving skills - Strong written and verbal communication, organization, and documentation skills Nice to have: - Familiarity with modern CI/CD pipelines and GitOps (Github Actions, GitLab, Argo CD) - Exposure to Monitoring and Observability tools (Prometheus, Grafana, Chronosphere, Datadog, OpenTelemetry) - Experience collaborating across departments to execute complex, high-impact projects. Benefits (for US based employees): - Flexible PTO - Medical, dental, and vision insurance with FSA options - Company-paid life insurance - Paid parental leave - 401(k) with company match - Professional development opportunities - 13 paid holidays off - Summer Fridays (we leave early) - In-office and hybrid work options available - In-office lunches and lots of free food - Optional in-person and virtual events (we like to celebrate!) Compensation (for US based employees): The anticipated salary for this position is between $100,000 and $130,000. Within the range, individual pay is determined by factors such as job-related skills, experience, and relevant education or training. If your compensation expectations fall outside of this range, it may still be worth having a conversation. Zefr is an equal opportunity employer that embraces diversity and inclusion in the workplace. We are committed to building a team that represents a variety of backgrounds, skills, and perspectives because we know this only makes us better. We strongly encourage women, persons of color, LGBTQIA+ individuals, persons with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply even if you do not meet 100% of the qualifications. ## About Zefr ## Company Overview - **One-liner**: Zefr provides AI-powered brand safety, suitability, and viewability technology for social media platforms, enabling advertisers to navigate content risk and unlock performance across the feed. - **Entity Type**: Private (growth-stage, backed by venture capital) - **Headquarters**: Los Angeles, California, USA - **Founded**: 2008 - **Founders**: Rich Raddon and Zach James ## Core Business - **Primary industry/industries**: AdTech, Marketing Technology, Brand Safety & Suitability, AI/ML Content Classification - **Target customers**: B2B — Enterprise brands, agencies, and advertisers running campaigns on major social platforms (Meta, TikTok, YouTube, Instagram) - **Mission or purpose statement**: To help marketers move confidently through the chaos of social platforms with technology built to decode the feed — enabling brands to "be fearless in the feed." ## Products & Services - **Zefr Platform Intelligence**: A multi-modal content classification engine that ingests video, audio, imagery, text, and metadata to provide frame-level accuracy for brand safety, suitability, misappropriation, AI-generated content, and viewability. - **Activate and Verify**: Programmatic activation and verification for social platforms, available both pre-bid and post-bid, connecting planning data with performance metrics. - **Custom Policy Moderation**: In-house content policy practitioners define custom brand models and guidelines, with human review for validation and escalation. - **Zefr Media Services**: A managed media team that runs campaigns end-to-end using Zefr’s proprietary data and technology. - **Zefr Labs**: An innovation arm building intelligence for emerging platforms, including how brands show up in AI and new media environments. - **Data Solutions**: Cross-platform data ingestion and classification for deeper video understanding. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed - **Key Metric**: Total funding not publicly disclosed; revenue is private - **Notable Investors/Partners**: Deep, direct integrations with Meta, TikTok, YouTube, and Instagram. Zefr was selected as the first third-party brand safety partner on both TikTok and Meta. - **Growth Signals**: - First third party to receive MRC accreditation for content-level reporting of brand safety and suitability on YouTube (2026) - MRC accreditation for viewability & IVT (2025), offered to advertisers free of charge - Expanded capabilities from YouTube (2008) to Facebook/Instagram (2015) to TikTok (2021) - Continues to build for AI and emerging platforms via Zefr Labs ## Competitive Advantages - **Social-first architecture**: Engineered from the ground up to understand nuances of video, audio, and text within complex social feeds — not retrofitted from legacy open-web tools. - **Platform-native partnerships**: Deep, direct integrations with major platforms ensure data accuracy and privacy compliance. - **Independent intelligence**: Zefr is not a media owner, so its interests align purely with advertisers, providing unbiased data and insights. - **Frame-level accuracy**: Multi-modal AI models trained for nuance, not keywords, enabling deep classification at scale. - **First-mover accreditations**: First third-party MRC accreditation for content-level brand safety on YouTube (2026) and long-standing certifications. ## Strategic Focus - **Current priorities**: Expanding content-level brand safety and suitability across all major social platforms; leading in viewability and IVT measurement; building intelligence for AI-generated content detection; and developing solutions for how brands show up in emerging AI platforms. - **Growth direction**: Deepening platform integrations, scaling MRC-accredited metrics, and innovating through Zefr Labs to stay ahead of cultural and technological shifts in the social feed. ## Why Work Here - **Culture highlights**: Zefr emphasizes a collaborative, inclusive environment with a focus on responsible marketing. The company values integrity, respect, and transparency — including a commitment to updating candidates at least once per week during the interview process. - **Remote/hybrid/office policy**: Offers in-office, hybrid, and fully-remote work options. - **Notable perks**: - Flexible Paid Time Off - Medical, Dental, and Vision Insurance with FSA Options - Company-Paid Life Insurance - Paid Parental Leave - 401(k) with Company Match - Professional Development Opportunities - 10 Paid Holidays - Summer Fridays (shorter work days on select Fridays during summer) - In-office lunches and free food - Optional in-person and virtual events, quarterly happy hours, team building, volunteer opportunities - **Interview process**: Typically includes a Recruiter Phone Screen, Hiring Manager Interview, and Team Interview (with a coding challenge for technical roles). Goal is to provide a decision within three weeks or less. ## Sources 1. [zefr.com](https://zefr.com/about/company) 2. [zefr.com](https://zefr.com/) 3. [zefr.com](https://www.zefr.com/about/careers) 4. [zefr.com](https://zefr.com/about-us/culture) 5. 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