Junior Backend Engineer
Primary stack
Nice to have's
Job description
About the Position
Synerise is looking for a Junior Backend Engineer to design, build, and evolve the backend for an 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 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.
About the Team
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.
Responsibilities
- Develop architecture and design patterns to process and store high volume data sets.
- Develop software with a core focus around optimization and performance.
- Translate complex functional and technical requirements into detailed design.
- Perform analysis of vast data stores and uncover insights.
Requirements
- At least one year of experience programming in any JVM language (like Java, Scala, Kotlin) or Rust.
- 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.
Nice to Have
- Existing GitHub/Gitlab portfolio or personal projects.
- Experience with microservices architecture.
- Basic knowledge of AI/ML concepts.
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.
Location
- Cracow, Poland (Hybrid)
Salary
- 7 000 - 9 000 PLN net/month (UZ/B2B)
Interested in this role? We'd love to hear from you. Apply now and join our team.
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Retail,E-Commerce,Banking,Telecommunications,Fashion
About the Company Synerise specializes in using AI and Big Data to transform business insights into actionable strategies. The company offers a cutting-edge Behavioral AI Infrastructure that empowers organizations to predict behaviors and make data-driven decisions. Synerise builds every layer of its AI infrastructure from scratch, ensuring no dependency on third-party AI, databases, or cloud vendors. The company's proprietary technology allows for real-time predictions, personalization, and automation at an enterprise scale. Products, Services & Tech Stack Core Solutions Behavioral Data Hub: Absorbs and transforms behavioral profiles in real time and at any scale. Data Modeling Hub: Offers a unified data layer for real-time ingestion and analysis. Predictive Inference & Recommendation Models: Applies supervised and self-supervised learning for intent inference and item-level recommendations. Orchestration & Adaptive Workflow Execution: Composes multi-step workflows with conditional branching and system synchronization. Content & Activation Profiles: Dispatches behavioral interventions across multiple channels with context-aware selection and frequency optimization. Technologies & Frameworks Proprietary AI Infrastructure: Built in-house from TerrariumDB to BaseModel.ai. Real-Time Processing: Capable of handling 31 billion events per month with sub-millisecond latency. Scalability: Designed to scale linearly with horizontal scalability. Security: ISO 27001 certified, GDPR compliant, and SOC 2 certified. Project Scope & Target Clients Client Base Retail: Empik, Las Tijeras Mágicas, MIG Marketing Investment Group, Modivo Fashion & Sport: Nike Chile Telco: Orange Banking: BNP Paribas E-Commerce: Minimalism Engineering Scale Global Scale: Powers real-time data, AI, and automation at planetary scale. Performance Metrics: Handles 31 billion events per month, 90 billion queries to the TerrariumDB per month, and 3.8 billion AI recommendations, searches & predictions per month. Infrastructure: Operates on a Kubernetes cluster with 16,400+ pods, 750+TB disk size, 890+ nodes, 420+ virtual machines, 71+TB RAM, and 14,400+ vCPU.
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