We are looking for Infrastructure Engineer:

1. with expertise in SBC (Citrix, Terminal Servers), web infrastructure (Apache, IIS, Tomcat), AWS/Azure cloud services,
2. and strong management experience with external providers.

Generally, someone who can balance technical operations with architectural oversight.

The focus:

• Management perspective of external providers
• Develop system design solutions in collaboration with the provider, or propose your own solutions
• ITIL

• Server-Based Computing (SBC) → Citrix, Terminal Servers
• Web Infrastructure → Apache, IIS, Tomcat
• Web Servers

• MPC = Managed Public Cloud
• Public Cloud Provider: AWS and Azure
• Native Cloud Services Containers, Serverless 
• Layered Services (Lift and Shift)

Clear idea of Information Technology and IT processes

• Consider dependencies to other global and regional projects. 

• Supports the Service Owner and other stakeholder regarding tasks and approvals according needs of the project. 

• Analyse the business requirements and processes to support the design and development of infrastructure services. 

• Prepare and contribute to architectural quality reviews.

• Contribution to definition of service strategy and architecture. 

• Continuously share best practices and approaches across teams. 

• Identifies and tracks issues identified in cooperation with other work streams. 

• Together with team, implement and optimize our Data Center services and needed ITIL processes globally. 

• Ensure data and information security in the Data Center services. 

• Timely provision of Status Reports, Rollout Plan, Risks, etc. 

• Manage the relationship with the client and all stakeholders. 

• Establish and maintain relationships with third parties/vendors. 

• Manage external providers, Escalate issues as appropriate. 

• Work with virtual team spread worldwide (very limited need to travel). 

• End-to-end responsible for the delivery of platform service in responsible area

Location: Poland (strictly), may be business trips required to Germany

Work specification: Remote, full-time

Duration: 12 months with possible prolongation

Project language: English

Looking for strong professionals for the iOS developer role to the Mobile solutions department.

About the project:

A connected pet-safety platform combining GPS geofencing, real-time location, training workflows, and multi-device management. 

The scope of work for the project: end-to-end backend on Azure, mobile application development (Xamarin + native), firmware for BLE/LTE/Wi-Fi, and the Angular admin portal.

Tech part:

The system includes a .NET cloud backend on Azure (AKS/Functions, API Gateway, IoT Hub/MQTT, Event Hub, Redis cache, SQL/Cosmos for telemetry & config, Blob for media), a rules engine for geofence/alerts, OTA update pipeline, webhook/Push/SMS notifications, analytics, and CI/CD with observability (App Insights/Prometheus-Grafana).

Mobile apps are built with Xamarin and native stacks (iOS/Android) consuming REST/GraphQL APIs and background location services.

Device firmware integrates BLE for pairing/provisioning, LTE for wide-area tracking, and Wi-Fi for home connectivity, with secure boot, DFU/OTA, and power-management. An Angular admin console provides fleet/user/subscription management, policy editing, and live device dashboards.

Requirements:

• Experience developing architectures from scratch and/or introducing enhancements to existing architecture
• Experience working in all phases of the mobile application development lifecycle.
• Proven ability to communicate difficult technical issues with sufficient clarity to internal and external stakeholders.
• Experience in developing iOS applications using Swift, with demonstrated expertise in Swift Concurrency and SwiftUI
• A strong grasp of software architecture patterns like MVP, MVVM, or MVI.
• Solid knowledge of CS fundamentals, including data structures, algorithms, and multi-threading.
• Familiarity with Agile methodologies
• Experience with Git and automation tools such as CI/CD and unit testing.
• Seasoned in creating sophisticated public-facing applications.
• Very good level of English (min. B2+).

Nice to have:

• Objective-C experience.
• TCA experience.
• Experience moving from cross-platform to native app development.
• Experience working with BLE and smart devices. (Share your examples and comments with us).
• Experience in implementing complex UI/UX in B2C apps. (Share your examples (links) in your CV).
• Experience in some of the following domains: consumer apps, fitness and health apps, hardware apps such as apps for smart wearables, etc. (Share your examples and comments with us).
• Experience working in complex environments with multiple teams and stakeholders
• Experience working in distributed teams across multiple time zones
• Experience in leading a team from a technical point of view.

We are looking for a Data Science specialist with experience in banking projects to build risk models (scoring for lending).

Key Areas of Responsibility

Risk Modeling Department:

- Full-cycle development of ensemble models, including data preparation and preprocessing, labeling, and splitting into training and testing datasets.  

- Selection and tuning of base models with an emphasis on diversity to improve prediction quality.  

- Development of machine learning models to forecast daily balances on corporate client accounts, incorporating time series analysis (weekly, monthly, quarterly) and additional factors (weekdays, holidays, tax periods, business cycles).  

- Training personalized models.  

- Application of model aggregation techniques (bagging, boosting, stacking) with optimized ensemble weighting.  

- Performance evaluation using accuracy, recall, and F1-score metrics to enhance prediction quality.  

- Deployment of models into production environments, ongoing monitoring, and regular parameter optimization.

Computer Vision Projects:

- Development and implementation of a biometric identity verification system, including document recognition and photo comparison modules.  

- Requirements analysis and system architecture design with a focus on high security and recognition accuracy standards.  

- Implementation of image processing algorithms to extract data from passports and compare with client selfie photos.

Acquisition Analytics:

- Comprehensive analysis of acquiring and cash management portfolio data, including collection and preprocessing of historical client behavior data.  

- Feature engineering reflecting transactional activity, financial indicators, and service usage patterns to identify key churn factors.  

- Building and training an ensemble prediction model optimized for the specifics of both products.  

- Implementation of client scoring system based on churn probability considering financial behavior and length of partnership.

Technologies and Tools: Python, SQL, Scikit-learn, XGBoost, LightGBM, CatBoost, TensorFlow/Keras, PyTorch, Random Forest, Gradient Boosting, Stacking, Pandas, NumPy, Matplotlib, Seaborn.