Junior/Mid Backend Engineer - Performance

Vibe
Paris, France
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior

Job location

Paris, France

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Code Review
Python
Machine Learning
Redis
Real Time Systems
Spark
Backend
Kubernetes
Microservices

Job description

The Vibe team is a passionate, competitive bunch focused on one thing: allowing any marketer, any brand, of any size, to advertise on TV in under 5 minutes.

We think fast, act fast, grow fast so advertisers can safely and precisely reach TV audiences, the largest digital audience in the US.

Vibe achieved profitability just 18 months post-launch, growing revenue by 30+% every quarter since 2022, and we're already well on our way to reaching our 2025 goal of becoming the #1 TV Ad Platform.

Join us!

Your Team

You will join our Performance team, a cross-functional group working at the intersection of backend engineering, data science and machine learning.

This team builds and operates the systems that decide how budgets are spent, how bids are placed, and how performance is optimised in real time. These components are central to Vibe's performance and growth.

You will work closely with Vincent Lagabbe, Backend Engineer, who brings deep experience in large-scale, performance-critical systems from companies such as Criteo and Alan.

The team values strong engineering fundamentals, thoughtful system design and continuous learning, with a modern, pragmatic and state-of-the-art approach to technology.

This position would be in an in-office first setting, at least for the first year, for proper mentoring purposes.

Your Mission

You will contribute to the development of high-performance backend services powering our real-time bidding and performance optimisation systems.

This role is designed for a junior to mid-level backend engineer who already has solid production experience and wants to level up quickly by working on complex systems, alongside experienced engineers., + Work closely with backend engineers, data scientists and ML engineers

  • Benefit from hands-on technical mentoring on architecture, performance and best practices
  • Participate in code reviews, technical discussions and design sessions
  • Grow in an environment that values clarity, pragmatism and engineering excellence
  • Our tech stack: We are technology-agnostic and believe in using the right tool for the job.
  • Backend languages: Rust, Go, Python
  • Infrastructure (AWS): Kubernetes, Redis, Athena, Spark..

Requirements

Do you have experience in Spark?, * 2+ years of experience as a Backend Engineer on production systems

  • Comfortable working with at least one backend language (Go or Python) and willing to learn others
  • Comfortable working in an in-office first setting, at least for the first year, for proper mentoring purposes
  • Curious, eager to learn from experienced engineers in a state-of-the-art technical environment
  • Interest in real-time systems, performance and data-intensive workloads
  • Appetite for using AI tools to learn faster and improve daily engineering work
  • Strong fluency in English - as more than half the company is US-based and some team members only operate in English
  • Collaborative, humble and impact-driven mindset

Benefits & conditions

  • Very competitive compensation (salary and stock-options / BSPCE)
  • Generally Remote-first (in France or elsewhere), with the option to work on-site in an ultra-cozy coworking space in the heart of Paris (Morning Laffitte)
  • Tech Syncs: worlwide Engineering and Product teams meet in person at least once per quarter
  • Health insurance (Alan)
  • Meal vouchers (Swile)
  • Two annual offsites
  • Guaranteed childcare placement

About the company

* Backend engineering + Design and implement backend services involved in bidding, budget pacing and performance optimisation + Write clean, maintainable and well-tested code used in production at scale + Gradually take ownership of backend components as your experience grows * Real-time systems & performance + Work on distributed systems with strong latency and reliability constraints + Learn how to reason about performance, scalability and trade-offs in real-world RTB systems + Participate in analysing and improving critical paths in production services * Modern engineering practices + Use AI-assisted development tools (including Claude at Vibe) as part of your daily engineering workflow + Leverage AI to improve code quality, debugging, system understanding and learning speed + Continuously refine your engineering practices using modern tools and methodologies

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