Landa Digital Printing seeks a hands-on Full Stack Developer – Industrial & Real-Time Systems to join an agile development team building mission-critical, enterprise-grade software for industrial digital presses. The systems combine hardware-related systems, advanced analytics, and big data, operating in real-time production environments where performance, reliability, and determinism are essential.

The role involves developing and evolving software that interfaces with high-throughput machines, processes large volumes of operational and image-related data, and supports continuous press operation.

Responsibilities

• Maintain high standards of software quality suitable for industrial production environments.

• Participate in system and solution design, architecture discussions, and rigorous code peer reviews (DR/CR).

• Develop end-to-end software components, including microservices, REST APIs, databases, and user interfaces used in press operation and monitoring.

• Participate in the migration of legacy press and manufacturing software to modern ReactJS and Web API-based architectures.

• Identify and resolve real-time performance bottlenecks, scalability issues, and concurrency challenges in production systems.

Requirements

• Proven hands-on experience in full-stack development of large-scale, enterprise, or industrial systems.

• Strong server-side experience for real-time and distributed systems: C#, .NET 4.6.1 / .NET Core, ASP.NET Core (WebAPI, SignalR), LINQ, Unity container, RabbitMQ, Redis.

• Strong front-end skills: ReactJS, TypeScript, modern UI frameworks.

• Database experience supporting high-volume operational data: SQL Server, MongoDB (Azure Data Explorer – advantage).

• Source control experience in multi-developer environments: Git, TFS.

• Experience working in Agile development environments (Kanban / Scrum).

• Experience with multi-threading, concurrency, synchronization, and performance profiling for real-time or near-real-time systems.

Advantages

• Cloud and Azure experience supporting industrial back-end systems.

• Experience working with Docker and containerized environments.

• Python development experience for data pipelines, automation, and analysis.

• C++ development experience, especially for performance-critical or hardware-interfacing components.

• Machine learning experience with integration into production or inspection pipelines.

• Image processing and computer vision experience relevant to industrial inspection or print-quality analysis.

• Experience working with Big Data platforms handling high-volume machine and operational data.

Attributes

• Strong engineering mindset with focus on stability, precision, and correctness.

• Comfortable working on complex systems interacting with hardware and real-time processes.

• High attention to detail and understanding of the cost of failures in production environments.

• Strong communication skills across software, systems, and multidisciplinary teams.

• Self-reliant, highly motivated, and capable of driving tasks to completion in a production setting.