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Develop yourself and the digital future – at Reply! Reply specialises in designing and implementing solutions based on new communication channels and digital media. Structured as a network of highly specialised…
Builds and operates OBI's Kubernetes platform, enabling developer self-service, driving CI/CD and GitOps automation (Argo CD/Flux), running observability with Prometheus, Grafana and Loki, and managing infrastructure as code with Terraform across Azure/AWS/GCP. Hybrid or remote with at least one Katowice office visit per quarter.
Senior backend engineer at OBI Smart Technologies (a JV of OBI and Reply Group) who owns backend architecture for product and assortment management in a large retail ecosystem. Day to day: building scalable Kotlin/Spring Boot services, Kafka-driven event-driven pipelines, and PostgreSQL data models on AWS/Kubernetes (EKS).
Builds and deploys production-grade ML models and pipelines for retail commerce, focusing on classical ML/deep learning; collaborates with a teammate on technical execution while leveraging cloud platforms like Databricks, AWS, Azure, or GCP.
Analyzes customer behavior in loyalty programs and automates data processes using Databricks and Looker to drive data-driven decisions for CRM and marketing teams.
The Data Analyst will analyze digital commerce performance data (e.g., marketplace vs. retail) to drive business decisions, using tools like Databricks and Looker, and integrate AI tools into the analytics workflow.
Builds and maintains internal developer platforms, tools, and services to enhance developer productivity, system visibility, and workflow automation using Node.js, Vue.js, and cloud technologies in a large enterprise environment.
Develops and maintains Salesforce-based solutions for a retail-focused digital platform, focusing on configuration, custom development, and integrations to support omnichannel commerce and customer service operations.
Builds and scales AI-driven workflow automation for OBI’s retail platforms, bridging cloud infrastructure (AWS, K8s) with business teams to adopt production-grade automation and agentic systems.
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