RESPONSIBILITIES
- 5 years reliability/operational experience (DevNetOps) running large-scale, highperformance IT data center networks and internet services with focus on media-specific purposes.
- University degree (Bachelor or Master) with focus on IT topics
- Experience with video transport protocols such as RTP, RTMP, SRT, UDP, Zixi, RIST, HLS, NDI and uncompressed video and audio over IP (SMPTE 2110, AES67/DANTE)
- Proficient understanding of networking principles (switching, routing, multicast, overlay architectures like. MPLS, VXLAN EVPN and application protocol, especially TCP/IP, BGP, DNS, TLS, and HTTP/S)
- Professional network engineering experience with hybrid network architectures connecting on-premises data centers and IaaS/public cloud services.
- Fluent in English; German is a plus but not required.
- Open minded (growth mind-set) & entrepreneurial thinking, passionate about the Media World
- Ability to work in a highly collaborative environment and to communicate effectively with internal and external partners. Self-organized (we have an agile setup)
- Ability to recognize complex relationships and present them understandably.
- Approachable (helping others where help is needed) & hands-on.
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RESPONSIBILITIES
- Lead the implementations and rollouts of services across Red Bull and its subsidiaries.
- Coordinate scope, budget, time, quality and external implementation teams/partners.
- Deliver projects based on Red Bull project management standards and principles. Collaborate closely with external vendors, internal teams such as architects and business partners.
- Oversee stakeholder engagement, risk mitigation and test management activities.
- Drive roadmaps and solutions to the company’s benefit.
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RESPONSIBILITIES
- Experience in user research and talking to stakeholders to bridge the gap between the problem of a user and actual AI implementation options
- Proven experience in developing AI-powered solutions, from research to production-ready implementation.
- Strong foundation in modern AI/ML frameworks, patterns and tooling, especially in Generative AI, covering concepts like prompt engineering, RAG, LLM as a judge, fine-tuning, and so on.
- Familiarity with cloud platforms (preferrable AWS) and LLMOps & MLOps pipelines for deploying and scaling AI solutions.
- Expertise in model optimization and evaluation techniques to build robust AI workflows.
- Solid skills in Python (or other relevant languages) and practical experience in applying modern software engineering patterns (like version control systems, merge requests, pair-/mob-programming, testing)
- Strong interest and basic knowledge about Agentic AI and agentic architectures
- Strong communication skills, able to explain technical solutions to non-technical audiences.
- Excellent problem-solving and analytical skills, with a proactive approach to challenges.
- Ability to work collaboratively with cross-functional teams.
- Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines
- Enjoy owning the problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done
- Affinity for media and broadcast domain is a plus
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RESPONSIBILITIES
- Drive and support international projects within the Sales Applications Team
- Coordinate scope, budget, time, quality and external implementation teams/partners. Ensure alignment across stakeholders (IT, Sales, Data, …)
- Develop and manage relationships with key stakeholders in HQ IT, HQ Sales department and local subsidiaries
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