Top Tech Jobs & Startup Jobs

Design, implement, and operate scalable Generative AI services, chatbots, and autonomous agents. Deploy and maintain on-prem LLM infrastructure (Docker/Kubernetes), implement RAG and MCP pipelines, ensure security/compliance, provide technical support and documentation, and contribute to AI roadmap via PoCs.

Design, configure, and implement SAP WM solutions. Gather and translate business requirements, integrate WM with ECC and other modules, optimize warehouse processes, troubleshoot issues, provide end-user training, maintain documentation, lead the team, and participate in design discussions. Knowledge of SAP eWM is a plus.

Design, configure, and maintain Semarchy xDM data models, matching and survivorship rules, duplicate detection and merge processes, workflows for data governance, and collaborate with stakeholders on requirements, testing, and documentation.

Lead ETL developer responsible for Informatica PowerCenter design and development. Build and tune complex SQL against Oracle, manage scheduling, work in traditional BI environments, apply DevOps practices, and handle XML processing. Basic Linux skills required; Agile exposure preferred.

Support Production Security with vulnerability management, server hardening, AD password policies, CyberArk/Splunk/RSA/Trellix/Varonis configuration, firewall flow recertification, documentation, and reporting to strengthen security infrastructure.

Lead and manage SAP S/4HANA implementation, upgrade and migration projects. Provide technical ABAP oversight, design solutions, mentor SAP teams, manage stakeholders, enforce governance, improve processes (Agile), ensure system performance/security, and oversee project financials and support processes.

Support operational staffing and resource management for IT customer projects: analyze staffing requests, identify and allocate resources, maintain availability/utilization and employee profiles, prepare utilization and capacity reports, follow up on open requests, and facilitate stakeholder meetings in an international environment.

Design, build, and deploy LLM-powered agents, copilots, and RAG-based knowledge systems. Integrate AI solutions with enterprise apps, use agent frameworks (LangChain, AutoGen, etc.), implement vector DBs and semantic search, containerize and deploy in cloud environments, and contribute reusable AI engineering best practices.

Develop and maintain C/C++ and Python simulation and analysis tools to validate autonomous driving performance. Design integrations, run large-scale scenarios injecting noise/failures, evaluate KPIs, safety thresholds, and subsystem requirements, and analyze real-world and simulation data to improve safety mechanisms and validation workflows.

Develop quantum communication system architectures, support hardware design, oversee integration and testing, and advise on technical trade-offs while ensuring compliance with standards.