Backend Engineer
Primary stack
Nice to have's
Job description
About the Position
Synerise is looking for a Backend Engineer to design, build, and evolve the backend for an event processing and analytics platform that powers AI-driven customer experience.
Synerise is a company where our brilliant team brings technology change to the business world, creating a new path – a next-generation, fully personalized, and AI-driven customer experience.
We 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. We’re also building BaseModel – a foundation model for behavioral data embedded within a novel platform for enterprise Data Science teams.
Having such great solutions, we are looking for a highly motivated 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.
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
- Programming skills in Scala or other JVM language.
- Programming skills in Rust or willingness to learn.
- Solid understanding of Apache Kafka and Kubernetes.
- Experience with (at least one): Akka / ZIO / Cats.
- Experience with SQL and NoSQL databases.
- Hands-on experience using AI coding (e.g., Claude Code, Cursor, GitHub 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.
Nice to Have
- 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 ElasticSearch/Opensearch.
- 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.
About the Company
Synerise is a company where our brilliant team brings technology change to the business world, creating a new path – a next-generation, fully personalized, and AI-driven customer experience.
Salary
14 000 – 20 000 PLN net/month (B2B)
Location
Cracow, Poland (Hybrid)
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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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