Synerise is looking for a Junior Scala Engineer - to design, build, and evolve backend for event processing and analytics platform that powers AI-driven customer experience.
Synerise is not just another tech company. It is a space where our brilliant team consequently brings technology change to the business world and instead of following known paths, we are creating a new one – a next-generation, fully personalized, and AI-driven customer experience.
We successfully deliver an all-in-one tool – Synerise. An ever-evolving behavioral data platform, enhanced by AI to generate outstanding ROI in more than 30 markets for industry leaders in Retail, Banking, eCommerce, Automotive, Insurance, and Telco, processing more than 150 billion transactions annually. However, we don’t limit ourselves solely to this solution. We’re building BaseModel – a foundation model for behavioral data embedded within a novel platform for enterprise Data Science teams, that is another step on our path to create innovation in AI and demonstrate its potential for the business world.
Having such great solutions, we are looking for a highly motivated Junior Scala Engineer to join our brave and brilliant Synerise Team. See if you fit our diverse and dynamic environment, where we constantly evolve together with the growth of our clients.
Our Backend Team works with Scala, Kafka, ElasticSearch, ScyllaDB, Azure, GCP, and Kubernetes. Distributed tracing (OpenTelemetry, Jaeger), structured logging, and rich metrics are core to how we build and operate services — not an afterthought. Both Backend and Frontend teams are supported by dedicated QA and Infrastructure teams. We like to experiment, and we have the environment to do it. We use AI coding assistants (Claude, Copilot) as a daily part of our workflow — not to replace engineering judgment, but to move faster on the parts that benefit from it.
The platform handles up to 28k API requests per second at peak with p95 latency under 100ms. You'd be joining the team responsible for event processing and analytics — the part of the platform that ingests, processes, and stores customer behavior events at scale, and powers the analytical capabilities our clients rely on. It's the data backbone the rest of the product is built on.