technologies-expected

Expected, Kotlin, Java, Python, BigQuery, Apache Spark

Opis stanowiska

About the project, Join the Recommendation team! You will have a chance to build tools for recommendations on Allegro - one of the most visible products on the platform. Your team works closely with the Machine Learning team, creating the best experience for customers. High performance, engineering best practices and great atmosphere in the team guaranteed!, , Important things for you, , , 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.

Twoje zadania

Your responsibilities, Massive Scale: Design, build, and optimize systems that handle thousands of requests per minute. This is high-availability, high-performance engineering in practice., 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., End-to-End ML Systems: Bridge the gap between big data and real-time product impact. You’ll build the infrastructure for serving ML models, using BigQuery and Apache Spark for offline data processing and Vector Search databases for high-speed retrieval. You’ll integrate these components with our microservices architecture to create the sophisticated recommendation systems that power a personalized user experience.

Wymagania

Code in Kotlin or Java and are eager to master Kotlin by taking part greenfield project, Want to be proud of the code they create; they value high-quality code reviews and engage in substantive discussions on software engineering best practices;, Are excited about building new products and want to experience the journey of launching a fresh project within the Allegro ecosystem;, Are open to developing soft skills and exploring a full-stack mindset by learning new backend, frontend, and mobile technologies;, Are open to incorporating AI coding assistants into their daily work to maximize efficiency and focus on complex problem-solving, Can look for effective solutions to the requirements set by users;, Want to constantly develop and update their knowledge;, Know English at at least B2 level;, Are eager to dive into the world of ML Engineering, learning how to serve ML models (using Python) and handle large-scale offline data processing using tools like BigQuery or Apache Spark.

Co oferujemy

What we offer, 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.

Co oferujemy

Benefits, sharing the costs of sports activities, private medical care, sharing the costs of foreign language classes, sharing the costs of professional training & courses, life insurance, flexible working time, integration events, no dress code, leisure zone, extra social benefits

additional-module

#goodtobehere means that:, You will join a team you can count on - we work with top-class specialists who have knowledge- and experience-sharing in their DNA., You will love our level of autonomy in team organization, the space for continuous development, and the opportunity to try new things. You get to choose which technology solves the problem and you are responsible for what you create., You will value our Developer Experience and the full platform of tools and technologies that make creating software easier. We rely on an internal ecosystem based on self-service and widely used tools such as Kubernetes, Docker, Consul, GitHub, and GitHub Actions. Thanks to this, you can contribute to Allegro from your very first days on the job., You will be equipped with modern AI tools to automate repetitive tasks, allowing you to focus on developing new services and refining existing ones (also leveraging AI support)., You will create solutions that will be used (and loved!) by your friends, family and millions of our customers., You will meet the Allegro Scale, which starts with over 1000 microservices, an open-source data bus (Hermes) with 300K+ rps, a Service Mesh with 1M+ rps, tens of petabytes of data, and production-used machine learning., You will become part of Allegro Tech - We speak at industry conferences, cooperate with tech communities, run our own blog (it's been over 10 years!), record podcasts, lead guilds, and we organize our own internal conference - the Allegro Tech Meeting. We create solutions we love (and can) to talk about!

Opis stanowiska

Join the Recommendation team! You will have a chance to build tools for recommendations on Allegro - one of the most visible products on the platform. Your team works closely with the Machine Learning team, creating the best experience for customers. High performance, engineering best practices and great atmosphere in the team guaranteed!

Important things for you

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.

Twoje zadania

Massive Scale: Design, build, and optimize systems that handle thousands of requests per minute. This is high-availability, high-performance engineering in practice.
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.
End-to-End ML Systems: Bridge the gap between big data and real-time product impact. You’ll build the infrastructure for serving ML models, using BigQuery and Apache Spark for offline data processing and Vector Search databases for high-speed retrieval. You’ll integrate these components with our microservices architecture to create the sophisticated recommendation systems that power a personalized user experience.

Co oferujemy

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.

#goodtobehere means that:

You will join a team you can count on - we work with top-class specialists who have knowledge- and experience-sharing in their DNA.
You will love our level of autonomy in team organization, the space for continuous development, and the opportunity to try new things. You get to choose which technology solves the problem and you are responsible for what you create.
You will value our Developer Experience and the full platform of tools and technologies that make creating software easier. We rely on an internal ecosystem based on self-service and widely used tools such as Kubernetes, Docker, Consul, GitHub, and GitHub Actions. Thanks to this, you can contribute to Allegro from your very first days on the job.
You will be equipped with modern AI tools to automate repetitive tasks, allowing you to focus on developing new services and refining existing ones (also leveraging AI support).
You will create solutions that will be used (and loved!) by your friends, family and millions of our customers.
You will meet the Allegro Scale, which starts with over 1000 microservices, an open-source data bus (Hermes) with 300K+ rps, a Service Mesh with 1M+ rps, tens of petabytes of data, and production-used machine learning.
You will become part of Allegro Tech - We speak at industry conferences, cooperate with tech communities, run our own blog (it's been over 10 years!), record podcasts, lead guilds, and we organize our own internal conference - the Allegro Tech Meeting. We create solutions we love (and can) to talk about!

Software Engineer 1 (Java / Kotlin)

Allegro