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DevOps Engineer - ML /AI

ID de l'offre
109650
Publié depuis
03-jul-2025
Organisation
Global Business Services
Domaine d'activité
Recherche et développement
Entreprise
PETNET Solutions, Inc.
Niveau d'expérience
Expérimenté
Type de poste
Temps plein
Modalités de travail
Au bureau / sur site uniquement
Type de contrat
Contrat à durée indéterminée (CDI)
Lieu : Tout site Siemens dans le monde
Education: BE/B.Tech/Any Graduation/M.Tech Experience: Overall, 4-6 years of IT experience. 3 -4 years’ experience in a DevOps role, with a strong background in software development and system administration. Key Responsibilities: * Expertise in CI/CD tools such as Jenkins, GitLab CI, and Azure DevOps. * Proficiency in containerization and orchestration tools like Kubernetes and Docker. * Hands-on experience with scripting languages like Python and Bash for automation. * Strong knowledge of automation tools like Ansible, Terraform, and similar infrastructure-as-code platforms. * Experience with cloud platforms like AWS, Azure, or Google Cloud to configure and optimize cloud-native solutions for scalability, performance, and security. * Knowledge of API management and microservices architectures. * Experience with data extraction from various sources (e.g., Snowflake, MS SQL, MySQL, M365). * Knowledge of data visualization tools like Power BI or Qlik Sense. * Experience with Microsoft Power Platform tools like PowerApps or Power Automate and API management platforms like SnapLogic. * Familiarity with the concept of ML Ops and data science solutions (e.g., Databricks, AzureML, Cognitive Services, GCP AI Platform). * Experience in automated testing workflow integration to streamline quality assurance. * Experience in setting up monitoring solutions to track system performance in real-time and quickly identify and resolve issues to maintain system reliability and availability. * Knowledge in incident management support, assisting in production issue resolution and restoring service operations. * Close collaboration with development teams to integrate backend services and ensure alignment between development and production environments. Preferred Qualifications: * Certifications in DevOps methodologies (e.g., AWS Certified DevOps Engineer, Azure DevOps Engineer Expert), agile practices, and modern development workflows. * Proven experience with CI/CD tools, containerization, and cloud infrastructure. * Strong understanding of network architecture, security protocols, and disaster recovery principles. * Strong problem-solving skills and attention to detail. * Experience working in a cross-functional team within an IT organization adopting modular architectures.

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