As a software engineer in the area of “Recommendation & Personalization” you are working on Zalando state-of-the-art recommendation systems serving millions of customers with highly relevant and personalized content. You will be working with the newest technologies to build a SAAS component which can be fully leveraged within our Zalando platform.
Your main challenges will include working with large amounts of data, deliver high-quality recommendation results and at the same time provide a low-latency, rock solid and auto-scaling production system. You will be part of an autonomous and highly ambitious team consisting of experienced software engineers and expert data scientists working on the cutting-edge every day.
WHAT WE’RE LOOKING FOR
- You have 4+ years of experience, working as a (Java or Scala) developer. A technical degree is a plus
- You have in-depth experience of working with data-driven recommendation solutions, including creating, implementing, and tuning recommendation engines
- You have worked with current Big Data technology (e.g. Hadoop/MapReduce)
- You are experienced in building and deploying large-scale, distributed data-driven systems in a cloud environment
- You are keen on collaborating closely with Data Scientists & Data Analysts and have passion to solve algorithmic problems
- You have a keen interest in Data Mining & Processing as well as applied Machine Learning
- You’ve worked with NoSQL databases before (e.g. Cassandra, MongoDB) and ideally also have experience in search engines (Solr, Elasticsearch)
- You write well-structured and tested code in the spirit of Effective Java and Clean Code that easily scales to enterprise level
- You love to improve & optimize software and to use new technologies
- Knowledge of near-realtime stream processing and/or message-driven architectures (e.g. Spark, Storm, Aerospike, Kafka) is a plus
- Experience with Cloud Computing platforms such as AWS is a plus
- You will be part of an agile and very experienced team that will further develop our recommender systems in short release cycles
- You will build and operate all services and stream-processed data infrastructure for low-latency personalized recommendations
- You will implement highly-scalable solutions with state-of-the-art-technologies together with your team
- You are ready to tweak and optimize our recommendations for various markets all across Europe for millions of customers
- You will transfer algorithmic prototypes to enterprise level, highly-scalable and fault-tolerant solutions using the right technology for the job
- You are collaborating with our data scientists to improve and extend our recommendation engine and other analytical customer experience solutions
- You will be part of a multi-cultural team with different native languages, skills and backgrounds
- Design, develop, deploy, operate and improve software solutions that impact millions of Zalando customers
WHAT YOU CAN EXPECT FROM US
Community. Tech culture of trust and empowerment, open source commitment, meetups, game nights, +100 internal technical and fun guilds, tech talks, product demos, Coderdojos, parties and events.
Perks. Competitive salary, 40% Zalando shopping discount, discounts from external partners, public transport discounts, relocation assistance for internationals, free drinks and fruits, hardware of your choice.
Development. Tour of Mastery, extensive onboarding, personal branding support, opportunity to attend and speak at conferences and meetups, and encouragement to publish work.
Work Environment. Self-organized, autonomous teams and flexible working hours.
Scale. Unparalleled levels of data and opportunities.
WANT TO JOIN US? THEN GO AHEAD AND APPLY!