Senior Backend Software Engineer – Performance

Job not on LinkedIn

🕒 April 7

🇫🇷 France – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 32%

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Logo of Vibe.co

Vibe.co

51 - 200 employees

Founded 2022

📣 Marketing

🛍️ eCommerce

📱 Media

Marketing • eCommerce • Media

Vibe. co is a technology platform that simplifies TV advertising for businesses. It allows brands to easily create and manage their advertising campaigns on major streaming apps and TV channels within minutes. With features like real-time reporting, performance measurement, and targeted audience reach, Vibe. co aims to streamline the advertising process and enhance campaign effectiveness for over 1,000 brands.

📋 Description

• Own the pacer and bidder • Go deep on the bidder and pacer stack map it end-to-end and identify at least one fragility worth owning on day one • Propose improvements to the bidder or pacer autonomously from problem definition through to design proposal • Ship measurable improvements to CPx, pacing accuracy, or win rate within your first three months • Raise the team's ceiling • Distribute critical system knowledge: make the team faster and less dependent on any single person • Challenge existing designs, including inherited ones, and push for cleaner solutions • Deepen expertise in the theoretical foundations (probabilistic modelling, PID control theory) powering our approaches • Move at Vibe pace • Use AI tooling as a genuine force multiplier (not a crutch, not a checkbox) • Iterate in production, not in your head, we - ship, measure and adjust

🎯 Requirements

• Shipped backend systems in a strongly typed language C++, Rust, Go, Scala, Java, or equivalent at production scale • Debugged distributed systems under real traffic: latency issues, consistency failures, the works • Worked inside a DSP, SSP, or bidder: you understand auction mechanics from the inside • Built or tuned pacing algorithms or PID controllers theory and implementation, not just awareness • Solid grounding in probabilistic reasoning and statistical modelling you think in distributions, not just averages. • Experience in a scale-up environment you know what fast and resource-constrained actually feels like • ML systems in production: feature pipelines, model serving (not just training notebooks) • Real-time data pipelines and low-latency architectures at scale • Redis, Kafka, or equivalent under meaningful load

🏖️ Benefits

• Equity — Employee Stock Ownership Plan. You're building this; you should own part of it. • 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.

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