Senior SRE/ML Ops Engineer - Performance

VIBE; Paris; Hybride; EUR 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Variable pay

Hybrid flexibility

Health insurance

Meal vouchers

Annual offsite

Tech Syncs

Résumé du poste

Vibe.co, Paris, is seeking a Performance Engineer to own reliability across the production stack—prediction serving, the bidding engine, pacing, and delivery. You will define SLOs, build observability, and lead on-call practices as part of a tight seven-person team.

You’ll reduce p99 latency, optimize the serving path, and collaborate with data scientists to ship robust models. The role supports a hybrid Paris-based schedule with relocation/visa sponsorship.

Qualifications

• Experience operating latency-sensitive services in production.
• Strong Kubernetes and cloud fundamentals.
• Experience with observability: metrics, tracing, logs.
• Proficiency in infrastructure as code and CI/CD.
• Comfort owning systems you didn't design; strong ownership.

Responsabilités

• Own reliability across the production stack: prediction serving, bidding engine, pacing, and delivery.
• Define SLOs, implement observability, and manage on-call.
• Reduce p99 latency and optimize replicas without sacrificing latency.
• Work on the data layer (Redis) for real-time serving and caching strategies.
• Stress test end-to-end in staging and manage capacity/cost growth.

Connaissances

Latency-sensitive

Kubernetes

Observability

IaC

CI/CD

Go

Python

Rust

Redis

Kafka

Outils

Redis

Kafka

Description du poste

Streaming TV is no longer just a brand awareness channel. It’s becoming a core part of the performance marketing mix, alongside search and social. Vibe.co is building the platform that makes TV work like the rest of the acquisition stack: targeted, measurable, and optimized for results.

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. With Walmart’s first‑party data and purchase signals now part of the Vibe platform, advertisers can connect TV advertising to real‑world transactions and measure the impact of CTV with a level of precision previously associated with platforms like Google and Meta.

This is a unique moment to join Vibe. With Walmart’s scale, data, and reach behind us, we’re building the next generation of TV advertising and creating a more measurable, performance‑driven future for the channel.

About 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.

Why it's interesting:

• Scale is the problem we have. Vibe was acquired by Walmart and the plan is to run many more advertisers through the same bidding stack. How much of that we can take on depends directly on what the infrastructure can absorb.

• Every bid is a real-time decision with advertiser budget behind it. If p99 moves the wrong way, advertisers under-deliver and we lose money that day. Cost works the same way: replica count and cloud bill are things you can move.

• The team is seven people, so you'd have room to set direction on reliability. The stack already exists and works, so you're not starting from a blank page.

What You'll Do

• 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.

What You Need

• 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.

Nice to Haves

• 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.

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

• Experience with Go, Rust, Python

Our Values

At Vibe, we run on three values: Impact, Ambition, and Urgency. We tie every goal to a real business outcome, think 10x rather than settling for good enough, and move daily rather than waiting for perfect conditions.

You’ll thrive here if you own outcomes without needing direction, default to action, and hold yourself to results, not effort.

This is a high-performance environment with high-performance rewards: you'll work alongside people who push you, with real ownership over hard problems in a market that’s moving fast.

If that sounds like the best version of your career, we want to meet you.

What We Offer

• 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.

Our Interview Process

We respect your time. Here's exactly what to expect — no surprises, no ghosting.

1. Recruiter screen — 30 min. We'll share context; you'll share yours.

2. Manager interview — Meet Clément, the person you'd work with directly.

3. Technical Debugging and Systems Design Interview — with Performance engineers

4. Calibration interview — A senior leader joins to ensure we're holding a consistent, high bar.

5. Offer — Fast. We don't let good decisions sit.

6. Reference checks — Two calls, handled with discretion.

Equal Opportunity

Vibe is an equal opportunity employer. We evaluate all applicants without regard to race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law.

We believe the best ideas come from teams with different backgrounds, perspectives, and experiences. If you need a reasonable accommodation during the application or interview process, please let us know.