• Modern Tech Stack: Work with a world-class, cloud-native environment. Our core technologies include Kotlin, Spring, Kafka, and Kubernetes. We're not shy when it comes to ML too.
  • True Ownership & Autonomy: We live by a "you build it, you run it" philosophy. You'll join an agile, autonomous team with full ownership of your microservices, from design to deployment.
  • Complex Challenges: From distributed systems and data streaming to algorithmic optimization, you'll tackle the complex backend problems that power a massive, real-time marketplace.
  • Innovative Ads Solutions: You will implement smart advertising recommendations within the Ads Panel to simplify campaign management.
  • Greenfield Vibe in a Mature Product: Enjoy the best of both worlds. While the Ads Panel is a mature, highly profitable product, this team operates with a greenfield approach. You will focus on building new features and innovations.

Join the Advertiser Growth & Learning team! You will have a chance to build and shape Allegro Ads - a highly visible and profitable product on the platform. Your team works closely with Data Science, creating real value and simplifying the lives of our advertisers. High performance, a focus on innovation, and a great atmosphere in the team are guaranteed!

  • Flexible working hours in the hybrid model (4/1) - working hours start between 7:00 a.m. and 10:00 a.m. We also have 30 days of occasional remote work.
  • The salary range for this position depending on the skill set is as follows (contract of employment, tax-deductible cost):
  • PLN 11 200 - 15 250
  • Annual bonus based on your annual performance and company results.
  • Our team is based in Warsaw.

What's in it for you:

  • Well-located offices (with e.g. fully equipped kitchens, bicycle parking, terraces full of greenery) and excellent work tools (e.g., raised desks, ergonomic chairs, interactive conference rooms).
  • A 16" or 14" MacBook Pro or corresponding Dell with Windows (if you don't like Macs) and all the necessary accessories.
  • A wide selection of fringe benefits in a cafeteria plan - you choose what you like (e.g., medical, sports or lunch packages, insurance, purchase vouchers).
  • English classes that we pay for related to the specific nature of your job.
  • A training budget, inter-team tourism (see more here), hackathons, and an internal learning platform where you will find multiple trainings. 
  • An additional day off for volunteering, which you can use alone, with a team, or with a larger group of people connected by a common goal. 
  • Social events for Allegro people - Spin Kilometers, Family Day, Fat Thursday, Advent of Code, and many other occasions we enjoy.

And that's just the beginning! You can read more about the benefits here.

We are looking for people who:

  • Have solid foundational backend skills in Kotlin or Java and a strong, growth-oriented mindset - we value your willingness to learn over knowing everything from day one;
  • Are excited about experimenting with AI and open to trying out new tools and technologies in their daily work;
  • Want to build new products and have a real impact on a developing, innovative project with minimal maintenance tasks;
  • Are eager to collaborate with Data Science teams to turn complex algorithms into seamless user experiences;
  • Are open to understanding the broader architecture and potentially developing towards full-stack or big data engineering in the future;
  • Want to constantly develop, update their knowledge, and embrace new challenges;
  • Know English at at least B2 level.

Allegro is the most popular Polish shopping destination with about 14 million users monthly and over 750 thousand items sold on the platform daily. We are most of all a marketplace where companies can sell their products but auctions are available as well. In 2015 we started our own e-tail operations and they are constantly growing, adding more complexity and scale to our platform. Allegro is also getting more and more mobile, with over 47 million mobile searches monthly and over 130 thousand items bought on mobile devices every day.

Making a site like this work requires a lot of engineering and as the site grows, we learn and adopt new technologies. What started out as a monolithic application written in PHP is now migrating towards an ecosystem of loosely coupled microservices written in Java and other JVM languages running in the cloud. Creating a scalable and distributed system at this scale brings about many challenges which make our work interesting.