Jobs at Sowelo Consulting sp. z o.o.

Manage end-to-end delivery of client-facing ERP, supply chain, and e-invoicing implementations in Germany. Responsibilities include scheduling, requirements tracking, resource prioritization, workflow monitoring, customer communication, service handoff, and continuous process improvement. The role requires fluent German and English, strong organization, independent prioritization, and the ability to coordinate multiple cross-functional projects without direct authority.

Leads post-sale technical implementations for complex supply chain solutions, including ERP configuration, EDI integrations, data mapping, testing, upgrades, and troubleshooting. Consults with clients, manages project timelines, coordinates third-party partners, resolves change events, and serves as an escalation point. Requires strong supply chain and ERP expertise, analytical and organizational skills, fluent German and English, and the ability to manage multiple projects independently.

Provides L2+ technical support for workstations, mobile devices, printers, iPads, and standard software while managing ITSM tickets and SLA performance. Oversees local IT assets, inventory, equipment warehousing, documentation, and security compliance. Supports infrastructure tasks, technical rollouts, outages, and regional projects in partnership with global engineering teams and external vendors. Requires fluent German and English and willingness to work onsite or hybrid in the Düsseldorf or Cologne area.

Provides Level 2 onsite or hybrid IT support for Windows PCs, mobile devices, printers, software, and local infrastructure. Responsibilities include ticket diagnosis and escalation, hardware deployment and lifecycle management, asset tracking, system configuration, troubleshooting Office 365, Outlook, Citrix, Cloud PCs, softphones, and print queues, plus coordination of hardware refreshes and regional infrastructure. Requires foundational IT support knowledge, strong problem-solving skills, customer orientation, and fluent German with communicative English.

Provides L2+ enterprise IT support for workstations, mobile devices, iPads, printers, and standard software. Manages advanced ITSM tickets, SLAs, local IT assets, equipment inventory, infrastructure tasks, technical rollouts, documentation, and security compliance. Partners with global engineering teams and third-party vendors on incidents, outages, and infrastructure projects. Requires 3–5 years of corporate IT support, field engineering, or systems administration experience and fluent German and English.

Provides Level 2 support for Windows PCs, mobile devices, printers, software, and local infrastructure. Responsibilities include ticket diagnosis and escalation, hardware troubleshooting and upgrades, device deployment and returns, asset inventory management, and support for Outlook, Office 365, Citrix, Cloud PCs, softphones, and print queues. The role also coordinates regional infrastructure and hardware refresh programs while assisting end users onsite or remotely.

Own the full sales cycle for enterprise SaaS solutions, including prospecting, pipeline management, presentations, negotiations, and closing. Drive new ARR, upsell and cross-sell existing customers, maintain Salesforce records, collaborate with Sales Engineering and Customer Success, and ensure smooth customer transitions after closing.

Build and operate scalable AI backend systems, including inference pipelines, orchestration workflows, distributed microservices, caching, batching, and response streaming. Own observability, performance monitoring, alerting, incident response, and API reliability. Collaborate with client and machine learning engineers to deliver low-latency, high-throughput AI features using commercial APIs and self-hosted models.

Build and maintain production-grade native Android applications using Kotlin, integrating AI capabilities such as chat, vision, voice, and recommendations. Design resilient real-time interfaces, optimize performance and resource usage, implement telemetry and logging, collaborate with ML and backend teams, and support secure Google Play Store releases.

Build and maintain production-grade native iOS applications using Swift and SwiftUI, integrating AI features through backend APIs. Design resilient real-time user experiences with streaming, retries, and failure recovery. Optimize performance, memory, battery usage, and background processing while collecting telemetry for model evaluation. Collaborate with ML and backend teams on API contracts and architectures, and uphold production quality and App Store stability.

Build and maintain production-grade native iOS applications using Swift and SwiftUI, integrating AI and machine-learning capabilities through backend APIs. Design resilient real-time user experiences, optimize performance and battery usage, collect telemetry, collaborate with ML and backend teams, and support high-quality App Store releases.

Build and maintain production-grade native iOS applications using Swift and SwiftUI, integrating AI and machine learning features through backend APIs. Design resilient real-time user experiences, optimize performance and resource usage, support telemetry and model evaluation, collaborate with ML and backend teams, and uphold high production and App Store quality standards.

Build and maintain production-grade native Android applications using Kotlin, integrating AI capabilities such as chat, vision, voice, and recommendations through backend APIs. Design resilient real-time interfaces, optimize performance and battery usage, implement telemetry and logging, collaborate with ML and backend teams, and support secure Google Play Store releases.

Build and maintain high-performance native iOS applications using Swift and SwiftUI. Integrate AI and machine learning features through backend APIs, design resilient real-time interaction patterns, optimize performance and memory usage, collect telemetry for model evaluation, and collaborate with ML and backend teams. The role also owns production quality, App Store releases, reliability, and consumer-facing mobile experiences.

Build and maintain production-grade native Android applications using Kotlin, integrating AI capabilities such as chat, vision, voice, and recommendations. Design resilient real-time interfaces, optimize performance and battery usage, implement telemetry, collaborate with ML and backend teams, and support secure Google Play Store releases.

Build and operate scalable AI backend systems, including inference pipelines, orchestration workflows, APIs, and distributed microservices. Optimize latency, throughput, caching, batching, and response streaming while maintaining reliability, observability, and cost efficiency. Collaborate with client and machine learning engineers to deliver production AI features across mobile and desktop applications. The role requires Python or Node.js, Docker, Kubernetes, AI inference, commercial and self-hosted models, and distributed-system debugging experience.

Build and maintain production-grade native Android applications using Kotlin, integrating AI capabilities through backend APIs and on-device ML frameworks. Design resilient real-time interfaces, optimize performance and battery usage, implement telemetry and logging, collaborate with ML and backend teams, and support secure Google Play Store releases.

Build and maintain production-grade native iOS applications using Swift and SwiftUI, integrating AI and machine learning features through backend APIs. Design reliable real-time experiences with streaming, retries, graceful degradation, and failure recovery. Optimize performance, memory, and battery usage; collect telemetry for model evaluation; collaborate with ML and backend teams on architectures and API contracts; and support high-quality App Store releases.

Build and operate scalable backend systems powering AI features, including inference pipelines, orchestration workflows, caching, batching, and response streaming. Own observability, performance, reliability, alerting, and incident response for high-throughput distributed services. Collaborate with client and machine learning engineers to deliver stable, efficient APIs for mobile and desktop applications.

Build and maintain production-grade native iOS applications using Swift and SwiftUI. Integrate AI features through backend APIs, design resilient real-time user experiences, optimize performance and battery usage, collect telemetry, and collaborate with ML and backend teams. Ship reliable consumer-facing applications through the App Store while supporting graceful degradation, dynamic model responses, and on-device machine learning.