Backend Engineer

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 Base Model - 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 Backend Software 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 primarily with Scala
, Apache Kafka
, Elastic Search
, Clickhouse
, Kubernetes
, and cloud environments (
Azure and GCP
). Observability is a first-class concern: distributed tracing (Open Telemetry, Jaeger), structured logging, and rich metrics are embedded into how we design and operate services.

• Develop architecture and design patterns to process and store high volume data sets.

• Develop software with a core focus around optimisation and performance.

• Translate complex functional and technical requirements into detailed design.

• Perform analysis of vast data stores and uncover insights.

• Programming skills in Scala or other JVM language.

• Programming skills in Rust or willingness to learn.

• Solid understanding of Kafka and Kubernetes.

• Experience with (at least one):
  Akka / ZIO / Cats.

• Experience with SQL and No
  
  SQL databases.

• Hands-on experience using AI coding (e.g., Claude Code, Cursor, Git Hub Copilot) as part of daily software engineering work.

• Capacity to plan and scale systems to keep up with incredible growth.

• Excellent troubleshooting and debugging skills.

• A passion for building tools and automating everything.

• Strong analytical skills.

• Solid understanding of JVM internals (GC, profiling, heap and thread dumps).

• Experience designing and operating microservices architectures
  .

• Hands-on experience working in cloud environments (
  Azure and/or GCP
  ), preferably with AKS.

• Working knowledge of Java or Python.

• Knowledge of Elastic Search/Open search.

• Basic knowledge of AI/ML concepts.

• Work on a production-grade, large-scale system used by enterprise customers worldwide.

• Real technical challenges around performance, data volume, and distributed systems.

• Opportunities for continuous technical growth and deeper ownership over system design.

• Support from experienced engineers and a strong engineering culture.

• Influence on architectural and technical decisions within your team.