Senior SRE/ML Ops Engineer

📋 Job Overview

Vibe.co is an Audience First Streaming TV Advertising platform that gives marketers the tools to reach the right audiences, optimize campaigns in real time, and understand what’s actually driving business outcomes. With hyper-targeted segmentation, AI-powered recommendations, real-time optimization, and incrementality measurement, Vibe brings the precision and accountability of digital advertising to the biggest screen in the house. Today, more than 12,000 brands use Vibe.co to reach 120 million+ households. And in August 2026, Vibe.co became a Walmart company, opening up a new chapter for the business and the industry.

🏢 About Vibe.co

Vibe.co is building the platform that makes TV work like the rest of the acquisition stack: targeted, measurable, and optimized for results. We're an Audience First Streaming TV Advertising platform that gives marketers the tools to reach the right audiences, optimize campaigns in real time, and understand what’s actually driving business outcomes. With hyper-targeted segmentation, AI-powered recommendations, real-time optimization, and incrementality measurement, Vibe brings the precision and accountability of digital advertising to the biggest screen in the house.

🎯 The Role

The Performance team owns advertiser outcomes at Vibe: the prediction models, the bidding engine, pacing, and the delivery stack underneath them. You'd report to Clément Schiano, Engineering Manager for Performance. We're hiring because our infrastructure work has become two jobs. One is building the platform and tooling that gets data scientists from experiment to production quickly. The other is keeping the production serving path fast, cheap and reliable as traffic grows. One person currently does both, and the reliability half loses whenever there's a modeling deadline. This role takes over that half.

✅ Key Responsibilities

• Own reliability across the production stack: prediction serving, the bidding engine, pacing, delivery. Define the SLOs, build the observability to see them, and shape how we run on-call.
• Bring p99 down on the serving path and run the bidding engine on fewer replicas without giving up latency.
• Work on the data layer under real-time serving. Redis comes first: access patterns, caching strategy, behavior when it degrades.
• Build a way to stress-test the platform end to end in staging so we find our ceiling before production does.
• Handle capacity planning and infrastructure cost as advertiser volume grows.
• Work closely with the data scientists shipping models into this stack, and with Benoît Delsart, who covers the platform and tooling side.
• Run incident response and make sure postmortems turn into changes that ship.
• Collaborate with other engineering teams, notably DSP, since our systems interact heavily with the rest of the stack.

📌 Required Qualifications

• You've owned latency-sensitive services in production, on-call included. You've been paged for something serious and know how that goes.
• Solid Kubernetes and cloud fundamentals. At ease debugging a p99 latency problem.
• Observability experience: metrics, tracing, logs, and opinions about what makes an alert worth waking someone for.
• Infrastructure as code, CI/CD. You can ship the fix, not just find it.
• You're comfortable owning systems you didn't design. You'll be on the hook for this stack before you understand every model in it.

⭐ Desirable Experience

• High-QPS, low-latency serving experience: ad tech, trading, gaming, streaming or similar.
• Debugging depth on Redis, Kafka or similar.
• Capacity planning and cost work on a large footprint.
• Experience with model rollouts and why they differ from service rollouts.
• Background in programmatic, auctions or CTV.
• Experience with Go, Rust, Python

🎁 Benefits

• Variable pay — based on objectives you hit. No arbitrary targets.
• Hybrid flexibility — We're in the heart of Paris and our team is in 3x a week!
• Health insurance — Full coverage via Alan.
• Meal vouchers — Via Swile.
• Annual offsite — The whole team, once a year, somewhere worth the trip.
• Tech Syncs — Engineering and Product meet in person at least quarterly, worldwide.

🛂 Visa & Eligibility

• Paris-based strongly preferred. We support relocation/visa sponsorship.