[Hiring] Senior Data Streaming Engineer @Poland and Central-Eastern Europe

Role Description

We are looking for a Senior Data Streaming Engineer to join a project delivered for our international client, working with large-scale, event-driven systems and real-time data processing.

You will join a dedicated Streaming team responsible for building and operating production systems based on Kafka-compatible event streaming and Apache Flink. The role combines stream-processing development with the practical challenges of operating distributed systems, ensuring reliable event delivery, and managing stateful workloads in a cloud-native environment.

You will work hands-on across the streaming stack, contributing to production workloads running on AWS and Kubernetes, while developing services and components in Go.

• Building and maintaining production-grade, Kafka-compatible event-streaming solutions.
• Managing partitions, consumer groups, delivery guarantees, and schema evolution.
• Developing and maintaining stream-processing applications using Apache Flink.
• Working with event time, watermarks, state management, and checkpoints.
• Developing services and components in Go.
• Deploying and operating streaming workloads on AWS-based infrastructure.
• Running and troubleshooting workloads on Kubernetes.
• Contributing to the reliability, scalability, and operational stability of distributed streaming systems.
• Investigating production issues and improving the performance and resilience of streaming applications.
• Collaborating with other engineers to evolve the streaming platform and follow engineering best practices.

Qualifications

• Hands-on production experience with Kafka-compatible event-streaming technologies.
• Practical understanding of Kafka concepts, including partitions, consumer groups, delivery guarantees, and schema evolution.
• Experience developing stream-processing solutions with Apache Flink.
• Understanding of Flink concepts, including event time, watermarks, state management, and checkpoints.
• Practical experience developing services or components in Go.
• Experience working with AWS infrastructure.
• Hands-on Kubernetes experience, including deploying, operating, and troubleshooting workloads.
• Strong problem-solving skills and the ability to work with distributed systems in production environments.
• Practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery.
• Work from the European Union region and a work permit are required.

Requirements

• Experience working with Kubernetes operators and Custom Resource Definitions (CRDs) (nice to have).
• Experience operating stateful or distributed workloads on Kubernetes (nice to have).
• Experience troubleshooting performance, reliability, and scaling challenges in real-time data-processing systems (nice to have).
• Experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work (nice to have).
• Interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches (nice to have).

Recruitment Process

• CV review
• HR call
• Interview
• Client Interview
• Decision