Manager, Engineering (Scala/Java/Kotlin) - Consumer

Job Description

Important things for you

• Contract of employment, tax-deductible cost
• Additionally, depending on your annual assessment and the company's results:
• Annual bonus up to 20% of the annual salary gross
• Long-term discretionary incentive plan based on Allegro.eu shares
• A hybrid work model office located in Warsaw in Fabryka Norblina

About the role

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 work closely with the Machine Learning team, creating the best experience for customers. High performance, engineering best practices and great atmosphere in the team guaranteed!

We are looking for a leader who is still close to technology. In this role, you will spend around 20-50% of your time on technical work (coding, code reviews, architecture), with the remaining time focused on team development and business collaboration.

What will you do?

• Lead the development team (5-7 members) – ensuring accurate, scalable, and reliable delivery predictions
• Technical leadership – mentoring, code reviews, ensuring high code quality
• Design and implementation of key systems (languages: Scala, Java/Kotlin, Python, stacks: Spring Boot, Apache Pekko, Apache Spark, Google Cloud Platform)
• Collaboration with cross-functional teams - data science, data engineering, analytics, UX, operations
• Ensuring high quality - clean code, code review, TDD, CI/CD to ensure the quality and maintainability

Who are we looking for?

• Experience in leading a team (Java/Kotlin and/or Scala) as a Tech Lead or Team Leader
• Still actively coding and eager to maintain technical expertise
• Strong knowledge of engineering best practices (testing, CI/CD, scalable architecture)
• Experience with high-traffic distributed systems and data engineering
• Ability to bridge technical and business perspectives
• Proficiency in English (B2+)

Nice to have

• Experience with ML
• Familiarity with GCP data engineering tools: BigQuery, Cloud Composer, Dataproc

Additionally, we offer

• Well-located offices (with fully equipped kitchens and bicycle parking facilities) and excellent working tools (height-adjustable desks, interactive conference rooms)
• 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
• 16" or 14" MacBook Pro with Apple Silicon processor and, 36GB RAM or a corresponding Dell with Windows (if you don’t like Macs) and other gadgets that you may need
• Working in a team you can always count on — we have on board top-class specialists and experts in their areas of expertise
• A high degree of autonomy in terms of organizing your team’s work; we encourage you to develop continuously and try out new things
• Hackathons, team tourism, training budget and an internal educational platform, MindUp (including training courses on work organization, means of communications, motivation to work and various technologies and subject-matter issues)
• If you want to learn more, check it out

This may also interest you

Allegro Tech Podcast → https://podcast.allegro.tech/

Booklet → https://jobs.allegro.eu/job-areas/tech-data/ 

Send in your CV and see why it is #dobrzetubyć (#goodtobehere)