Top Tech Jobs & Startup Jobs

Develop and implement innovative HPC and engineering cloud solutions, including AI-enabled simulation workflows, GPU acceleration, and NVIDIA Omniverse technologies. Analyze customer requirements, create proof-of-concepts, deliver production implementations, and enhance existing HPC services. The role includes Linux administration, CAE solver support, automation, customer engagement, cross-functional collaboration, and end-to-end ownership from concept through operational handover.

Own the Internal Control System for a shared service center, advising stakeholders on control implementation and documentation. Conduct risk assessments focused on financial reporting and compliance, identify accounting risks, define key controls, coordinate internal and external audits, monitor regulatory and methodology changes, and drive control standardization, automation, and continuous improvement. Collaborate with global teams, auditors, and process owners across governance, risk management, and internal controls.

Designs end-to-end SAP transformation and migration solutions, including S/4HANA implementations, HANA upgrades, BASIS administration, and public-cloud deployments. Leads pre-sales solutioning, effort estimation, RFP/RFI responses, proposals, customer workshops, presentations, and solution defenses. Partners with sales, consulting, and delivery teams, assesses SAP landscapes, recommends modernization strategies, and supports transition into project execution while engaging senior stakeholders.

Supports project managers with planning, execution, monitoring, documentation, dashboards, reporting, cost control, risk mitigation, and compliance with project management standards. The role collaborates with cross-functional teams and communicates project updates to German-speaking stakeholders. Fluency in German and English is required, along with German certification at minimum B2.2 and strong analytical, communication, and interpersonal skills.

Provide expert support and consulting for SAP HCM Employee Self Service and Manager Self Service applications. Handle incidents, troubleshoot and debug Web Dynpro ABAP applications, customize ESS/MSS, manage SAP Enterprise Portal roles and authorizations, administer SAP NetWeaver Gateway, configure workflows, and implement new HR processes and applications. Collaborate with HR users and key users in complex, legacy environments.

Provides SAP HCM Time Management expertise, handling incidents, consulting on German regulatory requirements, and customizing schemas, rules, work schedules, time models, quotas, time sheets, and payroll integration. The role implements enhancements, bug fixes, wage-type logic, and complex legacy configurations. It also supports PTMW, terminals, and related HR systems, with occasional involvement in SuccessFactors, ABAP, and regional European requirements.

Develop and support SAP HCM solutions, handling incidents, debugging ABAP programs, managing interfaces, creating reports and transactions, and implementing forms, workflows, authorizations, and business requirements. Responsibilities include SPAU/SPDD object comparisons, LSMW support, job monitoring, regression testing, and technical consulting across integrated systems. The role requires strong ABAP expertise, SAP HCM development experience, interface knowledge, and familiarity with ITIL operations.

Lead SAP HCM Payroll consultant responsible for incident resolution, German payroll compliance, customization of schemes, rules, wage types, HR forms, and interfaces. Supports monthly payroll runs, payroll posting, legal and regulatory reporting, SAP Notes and Support Package implementation, statistical reporting, and ABAP development. The role also involves consulting on new payroll requirements, authority communications, collective agreements, and integrations with HR, travel, and expense systems.

Lead the architecture, development, and delivery of enterprise Generative AI and Agentic AI solutions. Build scalable LLM applications, RAG systems, and multi-agent platforms; establish AI governance, security, MLOps, monitoring, and evaluation practices. Collaborate with stakeholders and engineering teams, mentor developers, assess emerging technologies, and support AI transformation initiatives using cloud-native architectures and modern AI frameworks.

Develop and deploy enterprise Generative AI applications, LLM solutions, scalable RAG pipelines, AI agents, and agentic workflows. Integrate AI services with enterprise applications using APIs and microservices, optimize prompts, embeddings, and model performance, and support production deployment, monitoring, and evaluation. Collaborate with architects and business teams on cloud-native AI implementations while applying current AI, LLMOps, and responsible AI practices.