zooplus SE is hiring a Senior Software Engineer - Enterprise Integration (All Genders)

The Senior Software Engineer is responsible for designing, standardizing, and scaling integration solutions across the enterprise. The role focuses on building a unified integration ecosystem by defining best practices, reusable patterns, and platform capabilities (APIs, events, and messaging). The engineer will contribute to evolving the Integration Platform, improving system interoperability, reducing complexity, and enabling teams to build reliable, scalable integrations aligned with enterprise standards. Key Responsibilities: - Design and implement scalable integration solutions using APIs, messaging, and event-driven patterns. - Define and enforce integration standards, best practices, and reusable architectural patterns across teams. - Evolve and maintain core platform capabilities such as API registry/catalog, integration templates, and shared libraries. - Identify “integration bad-smells” (e.g., point-to-point coupling, anti-patterns) and work with teams to refactor them into standardized solutions. - Contribute to the design and rollout of a distributed event streaming platform (e.g., Kafka) and event-driven architecture. - Support teams in adopting integration patterns, providing guidance, code examples, and architectural reviews. - Collaborate with platform, product, and engineering teams to enable scalable and governed system integrations. - Improve observability, reliability, and performance of integration flows. - Explore and apply AI capabilities to improve integration development, documentation, testing, and governance. Core Competencies: - Integration Architecture – designing scalable, decoupled system integrations using proven patterns - Platform Thinking – building reusable capabilities rather than one-off solutions - Standardization & Governance – defining and enforcing integration best practices across teams - Event-Driven Design – applying asynchronous communication and streaming architectures - Developer Enablement – simplifying adoption through templates, tooling, and guidance - AI-Augmented Engineering – leveraging AI to improve SDLC efficiency and engineering outcomes