Software Engineer (Java)

About Piano 

Piano’s Digital Revenue Optimization solution helps digital services grow revenue by better understanding and influencing their customers’ behavior. Piano unifies analytics, segmentation, and commercial personalization in one AI-driven application, enabling sites and apps to efficiently maximize the value of every user visit. Headquartered in Amsterdam with offices in the Americas, Europe, and Asia-Pacific, Piano serves a global client base including the BBC, Deutsche Telekom, Nikkei, AXA and the Wall Street Journal.  For more information, visit piano.io.

About our products 

Audience 

Piano's Data Management Platform (DMP), also known as the Real Time Audience Platform, is a software tool designed to collect, manage, and analyze first-, second-, and third-party data. It enables the development of individual user profiles and audience segments, which can be utilized across various sites and multi-channel marketing plans. The DMP supports the integration with other Piano products, enhancing user experiences by optimizing bespoke audience segments. It facilitates personalized offers, retargeting campaigns, sequential messaging, lookalike modeling, and cross-device targeting. By leveraging comprehensive data collection and analysis, the DMP helps businesses understand and influence customer behavior effectively. 

Piano's Customer Data Platform (CDP) serves as a central repository for user profile data across Piano products. It integrates data from various sources to create comprehensive customer profiles, enabling businesses to better understand their audience and tailor their strategies accordingly. The CDP supports segmentation by offloading specific profile fields to the DMP, allowing for fast and effective audience targeting. It also facilitates updates and synchronization of user data, ensuring that profiles remain
accurate and actionable. By centralizing and managing customer data, the CDP empowers businesses to deliver personalized experiences and optimize marketing efforts. 

Activation 

Piano’s Composer product is a highly flexible experience management product designed for users to create, test, deploy, and manage sophisticated user experiences for online audiences without writing any code. It allows customization of experiences for specific groups within an audience or on specific pages of a site. Composer has a variety of applications, including ad blocking detection, increasing newsletter signups, driving subscription revenues, facilitating
social sharing, and supporting marketing initiatives. Additionally, it includes the capability to use machine learning models to help segment the audience based on the likelihood of performing certain actions. 

These products sit on top of our proprietary data platform (“The Cubes”), which process and store
huge amounts of data in real time. The Cubes are similar to products like ClickHouse, Apache Pinot. This distributed, in-memory database is highly performant and highly available. It processes around 1 billion events per day, at a rate of 11K events per second. 

We look for people who: 

Are already living in Norway, with permission to work here 

Are fluent in English (our working language) 

Have a University degree in computer science, or equivalent education/experience 

Have 3-5 years' experience building products in Java (or similar languages) 

Have experience supporting complex systems, with good examples of troubleshooting production incidents 

Have an interest in large scale data processing and distributed systems 

Have hands on experience with Linux as a development and runtime environment 

Are comfortable working with bare metal infrastructure and/or AWS 

Prefer to automate repetitive tasks and enjoy improving tooling and systems 

Can work independently, manage their own time and take ownership of tasks from start to finish, while also thriving when working with other teams, sometimes in remote locations 

Nice to have: 

ElasticSearch experience 

Having an interest in CI/CD and specifically Bazel, Gradle and Kubernetes are also valuable, and these are areas where it is possible to grow and expand experience 

Experimented with AI, LLMs 

What we offer 

Modern office near Skøyen station

Hybrid setup: 3+ days in the office, rest remote

Free on-site gym

Subsidized on-site canteen & and free snacks in the office.

Opportunity to work on high-impact enterprise SaaS software serving global customers

Collaborative culture that values independence, ownership, and professional growth

A place for you to grow as an engineer