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DevOps/MLOps Engineer Algo-trading

Düsseldorf DevOps Vollzeit Unbefristetes Dienstverhältnis m/w/x
Technologien und Skills
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Deine Rolle im Team
  • This is a unique opportunity to join a highly professional and result-oriented team of business and technical experts and to shape the future of Uniper's commodity trading business. You will be working in a fast-paced international environment to help build, productionalize and operate ML-based systems, tools and services for our algo-trading activities
  • Design, develop and operate cloud-based ML- and data platform used for advanced analytics use cases in algo-trading area
  • Develop, maintain and continuously improve best practices, tools, templates and guidelines for DevOps, DataOps and MLOps areas (automation, modularisation, reusability, reproducibility, tracing and monitoring, optimisation and quality assurance of ML and data pipelines)
  • Provide needed processes and hands-on support to ensure quick turnarounds in the software development lifecycle, from initialization and enablement to productionalization, and robust and secure operation of the advanced analytics use cases
  • Stay up-to-date with the latest trends, ideas scouting and knowledge sharing with internal communities
  • Lead trainings and discussions to evangelize DevOps frameworks and best practices within trading organization and beyond
  • Collaborate with other initiatives and areas within Uniper with respect to DevOps, MLOps, DataOps
  • Serve as an interface to Uniper's IT teams (Cloud Infrastructure, Information Security) and cloud vendors (Microsoft, Snowflake etc) to resolve any issues and to support and facilitate development and operations of the use cases
Unsere Erwartungen an dich


  • Very good scripting skills via Python and/or BASH for use in automation of daily tasks
  • Profound knowledge of one of OOP languages (preferably Java) and Linux OS
  • Good knowledge of CI/CD and IaaC tools such as Azure DevOps Pipelines, GitLab CI, Jenkins, Salt, Puppet, Chef, Ansible, Terraform
  • Familiar with REST APIs and automations
  • Front-to-end understanding of the ML lifecycle from DevOps perspective
  • Practical know-how in test automation field is a plus
  • Advanced analytical, problem-solving and troubleshooting skills
  • Familiarity with trading and risk management from commodity or financial markets space would also be a plus
  • Fluency in English (verbal and written)


  • At least 3+ years of experience in the DevOps Engineering area (preferably in AI/ML and/or Data Engineering context)
  • Experience with IaaS and PaaS technologies such as Azure, AWS
  • Experience with container virtualisation, especially with running containerized applications with Docker and Kubernetes
  • Experience with MLOps frameworks (MLFlow, Kubeflow, Azure ML etc) is a significant plus
  • Experience with agile delivery processes (Scrum, Kanban etc)


  • A degree in or related to Computer Science, Mathematics, Engineering or other related discipline
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Quellen Information

Job: DevOps/MLOps Engineer Algo-trading

Seite: uniper.energy

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