• You continuously expand the standard feature set of our MES platform as part of the team • You also deliver smart custom solutions for individual client projects • You enjoy diving into complex issues to control large processes and equipment • You master modern web stacks such as Go (Golang)/Vue.js and contemporary SOA architectures including a REST layer effortlessly • To communicate with intralogistics systems and devices, you use TCP, gRPC and corresponding message telegrams

• Work across the full lifecycle of features, from conception and design through service delivery. • Support testing activities, production deployments and provide ongoing support. • Implement unit, functional and performance tests following the team's guidelines. • Instrument applications to capture performance data, operational logs and metrics. • Troubleshoot technical issues such as bugs and incidents and perform the necessary analyses. • Adhere to the client's policies and processes, ensuring the quality and security of deliverables. • Collaborate with the team, maintaining clear communication and strong partnership.

• Design, implement, and maintain scalable backend services and APIs • Own and improve backend architecture within the team • Ensure high standards for code quality, testing, and maintainability • Design systems with reliability, scalability, security, and observability in mind • Collaborate cross-functionally with product, frontend, SRE, data, and game teams • Contribute to technical planning and backend roadmap discussions • Identify and address performance bottlenecks, system risks, and technical debt • Participate in incident response and continuously improve system reliability • Mentor engineers and contribute to a strong engineering culture

• Develop, evolve, and maintain digital health applications across multiple stacks (Java, Node.js, Python), focusing on performance, scalability, and security. • Design and implement features in distributed systems, including RESTful APIs, WebSockets, and data streaming pipelines. • Work on integration between microservices and legacy systems, ensuring consistency, resilience, and traceability in communications. • Use message queues and event-driven architectures (RabbitMQ, BullMQ) for asynchronous processing and orchestration of workflows. • Model, optimize, and maintain relational (MySQL, PostgreSQL) and non-relational (MongoDB, Redis) databases, including caching strategies and eventual consistency. • Contribute to the development and integration of generative AI–based features, such as LangChain agents, RAG pipelines, and orchestration via n8n. • Investigate, diagnose, and resolve complex technical issues in multi-tenant production environments. • Ensure code quality through automated tests and software engineering best practices. • Collaborate with multidisciplinary teams (Product, Design, QA, Data, AI) for integrated deliveries aligned with business objectives. • Participate in agile ceremonies and actively contribute to the team’s technical growth.