Top Tech Jobs & Startup Jobs

Provides first-level IT support for software and hardware incidents across Mac, Windows, Microsoft Office, Google environments, and corporate systems. Handles requests through phone, chat, and self-service channels; troubleshoots issues, prioritizes tasks, escalates critical problems, and keeps users informed. Requires Spanish and English fluency, strong problem-solving skills, and experience supporting Apple and Microsoft operating systems, SAP, networks, and video conferencing tools.

Provides first-level IT support in English and Japanese through phone, email, chat, and service portals. Manages incident and service request lifecycles, troubleshoots software and hardware issues, assists with installations and access rights, escalates complex issues, creates technical documentation, and guides users toward self-service solutions.

Provides first-line HR support to employees, managers, candidates, and HR colleagues through chat, ticketing, and phone channels. Performs employee lifecycle administration, HR system data maintenance, policy guidance, inquiry resolution, and troubleshooting. Supports recruiting, onboarding, employee changes, terminations, compensation, and performance processes while maintaining data privacy and service standards. Collaborates across regions, contributes to process documentation and continuous improvement, and monitors service quality against KPIs and SLAs. Mandarin and English communication are required.

Leads Roche’s Pharma Technical global learning strategy and team of Learning Business Partners and Experience Architects. Advises senior leaders, consolidates capability needs across manufacturing sites, drives enterprise learning transformations, and promotes competency-based, performance-centered learning. Establishes communities of practice, coaches teams, uses root-cause analysis to distinguish learning from process needs, and partners with Quality and Operations to improve business performance.

Provides strategic legal counsel to Roche’s digital and information solutions teams on data privacy, AI, software commercialization, cybersecurity, IT licensing, R&D, partnerships, and digital health projects. Drafts and negotiates complex agreements, develops privacy policies and legal strategies, supports global compliance, and trains teams on IT law and AI regulations.

Design and deploy enterprise generative AI and multi-agent applications from prototype through production. Build advanced RAG pipelines using vector and graph databases, optimize retrieval quality, develop production-grade Python APIs, and implement LLMOps evaluation, observability, prompt management, and cost monitoring. Advise global stakeholders on AI architecture decisions, mentor team members, and collaborate with product owners. Requires strong expertise in LLMs, agentic frameworks, software engineering, and enterprise AI products.

Leads the global Pharma Technical Learning Hub, overseeing learning design, development, and operations. Directs multidisciplinary teams, manages intake and resource allocation, establishes SLAs and quality standards, modernizes compliance training using competency-based learning, oversees content lifecycle and vendors, and measures learner engagement, competency acquisition, and training effectiveness. Requires deep pharmaceutical technical operations, quality systems, regulatory compliance, instructional design, process optimization, and leadership expertise.

Process customer orders in SAP, create sales orders, invoices, and credit notes, and resolve customer requests. Coordinate with logistics, finance, sales, and quality teams to support complaint handling and smooth order flow. Provide timely customer information, manage administrative tasks, and gradually support additional logistics activities. The role requires strong organization, customer communication, Czech or Slovak fluency, English proficiency, and the ability to manage multiple priorities independently.

The Scrum Master coaches up to two Agile teams within an Agile Release Train, facilitating Scrum ceremonies, removing impediments, coordinating dependencies, tracking team metrics, and improving delivery flow. The role promotes Scrum, Kanban, Lean, and SAFe practices, supports capacity planning, resolves conflicts, encourages experimentation, and builds autonomous, high-performing teams delivering chronic care software solutions.

Owns the end-to-end development and operation of production machine learning systems. Responsibilities include architecting cloud-native ML pipelines, building MLOps components, automating CI/CD, implementing model testing and observability, monitoring drift and performance, and maintaining scalable infrastructure. The role also establishes engineering standards, mentors data scientists, and partners with global teams to deliver reliable predictive solutions.