Junior Backend Engineer

Technologies we use

Expected

• Java
• Scala
• Kotlin
• Rust
• SQL
• NoSQL
• Claude Code
• Cursor
• GitHub Copilot

Optional

• GitHub
• GitLab

About the project

Synerise is looking for a Junior Backend Engineer - to design, build, and evolve backend for event processing and analytics platform that powers AI-driven customer experience.

Having such great solutions, we are looking for a highly motivated Junior Backend 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, ElasticSearch, Clickhouse, Kubernetes, and cloud environments (Azure and GCP). Observability is a first-class concern: distributed tracing (OpenTelemetry, Jaeger), structured logging, and rich metrics are embedded into how we design and operate services.

This is how we organize our work

This is how we work

• you have influence on the technological solutions applied
• you develop the code "from scratch"
• you focus on product development
• agile

Team members

• backend developer
• technical leader
• architect
• devOps
• data scientist

Your responsibilities

• 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.

Our requirements

• Programming skills in any JVM language (like Java, Scala, Kotlin) or Rust, and a strong willingness to learn them quickly.
• Basic experience with at least one web framework and an understanding of how web applications work.
• Familiarity with SQL or NoSQL databases and basic database queries.
• Hands-on experience using AI coding (e.g., Claude Code, Cursor, GitHub Copilot) as part of daily software engineering work.
• Decent troubleshooting and analytical skills with a methodical approach to solving technical problems.
• A passion for building tools and learning new technologies.
• Strong analytical and communication skills.

Optional

• Existing GitHub/Gitlab portfolio or personal projects.
• Experience with microservices architecture.
• Basic knowledge of AI/ML concepts.

What we offer

• 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.

This is how we work on a project

• code review
• active monitoring
• documentation

Benefits

• sharing the costs of sports activities
• private medical care
• remote work opportunities
• flexible working time

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.

Synerise S.A.

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.