4 Build-Pipelines Jobs in Salzburg
Die wesentlichen Tasks sind:
- Unterstützung des Entwicklungsteams bei der Neu- und Weiterentwicklung des Setup- und Deployment-Frameworks.
- Verantwortung für die Build- und Release-Pipelines im Microsoft DevOps Server.
- Mitarbeit in einem erfahrenen Team an abwechslungsreichen und anspruchsvollen Aufgaben.
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Vollzeit
Klagenfurt, Salzburg, Sankt Johann im Pongau
11.12.2025
Klagenfurt, Salzburg, Sankt Johann im Pongau
ALL ABOUT: CREATING SAFETY BY TECHNOLOGY
- You implement and maintain our CI/CD pipelines and develop scripts in Bash or other languages to efficiently support our development teams in the development process.
- You will be responsible for the administration and orchestration of containers with Docker and Kubernetes. You will optimize processes and automate deployments for a smooth deployment.
- You evaluate and maintain third-party tools such as Testkube, Keycoak, Multus and Backstage to continuously improve our development infrastructure.
- You will support our development teams in setting up and maintaining test systems, build pipelines and analysing and resolving technical issues.
- You will actively contribute to the team, communicate clearly and in a solution-orientated manner, and work closely with other departments.
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RESPONSIBILITIES
- 4+ years of experience in Data Science. Previous experience working on Data Science topics in Operations / Supply Chain is a plus.
- Masters or Doctorate in relevant field, for instance: Mathematics, Operations Research, Science (including data, computer, behavioural, social, e-con, ...).
- Programming: know at least one of R, Python, SQL with the ability and willingness to learn the other two
- Data Literacy: ability to prepare datasets ensuring top quality such that essence of said data and the implications for the problem at hand can be grasped quickly
- Statistical Reasoning: theoretical and applied understanding of Stats, Probability and ML Algorithms and know how to use these tools to reduce uncertainty in a business context (regression, visualization)
- Technical Literacy: applied understanding of modern computing allows the candidate to do things which go beyond the strict definition of Data Science (git, API calls, web crawling, …)
- Presentation Skills: present coherent data stories at the appropriate level of abstraction given the audience
- Stakeholder Management: skilled at building mutually beneficial connections with functional stakeholders
- Pragmatic Critical Thinking: intuitively consider relevant costs/benefits in all decisions and act accordingly
- Outcome Driven: highly motivated to add value and to demonstrate that impact to the organization
- Scientific Reasoning/ Scoping: ability to define and formulate new questions, in addition to answering given ones
- Grit: proven capability to see things through to the end even if initial feedback is discouraging
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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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