OBS! Ansökningsperioden för denna annonsen har
passerat.
Arbetsbeskrivning
About us
Join us for the opportunity to directly impact the success of some of the biggest newspapers in Norway and Sweden, e.g Aftonbladet in Sweden and Aftenposten in Norway, by improving the personal experience for millions of daily users.
Schibsted has a strong developer community that promotes learning and growing our skills. To ensure that at least 10% of your time is spent on your own long-term self-improvement and short-term ideation and creation, every second Friday is dedicated to learning or hacking.
You will be a key member in a highly dedicated and competent cross-functional team. The product you will be working with offers algorithms that enable our newsrooms to optimize the content offering on their front pages through automation and personalization. The goal is to deliver front pages that give the users the most important news and that are also highly engaging!
About the role
The team is responsible for rankers as well as some of the tools used by the editorial staff in Schibsted’s media houses. Based on collected data and through data processing the rankers aim to provide the most optimal order of the content shown on the front pages. Your primary responsibility will be to develop these rankers together with the product manager, engineering team and in collaboration with the Data Scientists working in the media houses.
The tech stack you will be working with consists mainly of applications for processing data (Kafka), written in modern Java (17) as well as TypeScript Node.js APIs. Most of our systems run on AWS (ECS, RDS, ElastiCache, SNS, SQS). The team is responsible for its products end-to-end.
About you
- You have at least 5 years previous experience of working as a developer or software engineer.
- You are comfortable in a fullstack team and in an environment where the team also owns the infrastructure.
- You are not afraid to take initiative. We expect you to be able to work autonomously.
- You are a team player. You understand it’s essential to our success that we are transparent and share knowledge and progress with each other.
Any interest or experience in Kafka Streams or Flink, Machine Learning, solving Data Preprocessing challenges and previous cloud experience are welcomed but not required.
We also welcome any interest or experience in creating tailored personal experiences in mass distribution environments.
Place of work: You can choose to work remotely or from our office in either Stockholm or Oslo.
Schibsted is a family of digital brands with a strong Nordic position, and more than 5,000 employees. Millions of people interact with our companies every day through our leading online marketplaces, world-class media houses. We also help new promising businesses grow. Our joint mission of empowering people in their daily lives is rooted in the values of our media heritage and a legacy of bold change. At our best, we are a fearless force for change in a society built on trust and transparency.
Product & Tech is responsible for product development and technology platforms for News Media brands. The unit consists of product managers, software engineers, UX experts, and user researchers. Most of our teams work distributed, with colleagues in Oslo, Stockholm, Krakow, Gdansk, Bergen, and Stavanger.