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SRE for Data Systems

Job-ID: ID SRE for Data Systems
Full time
Iasi
Middle, Senior
17-01-2026
From data to deployment, join us in building intelligent systems. As a Site Reliability Engineering for Data Systems on the Software & Data Science team, get ready to program the intelligence behind the chips, transform complex data into actionable insights, and create cutting-edge solutions that redefine industries and solve tomorrow's challenges.
Arbeitgeberprofil

Semiconductors

Verantwortlichkeiten

We are seeking an experienced Senior Site Reliability Engineer (SRE) to join our global IT team. In this role, you will play a critical part in enhancing system reliability, scalability, and efficiency for both infrastructure and applications.

  • Take ownership of the existing infrastructure involving complex systems, including application integrity and stability
  • Train and mentor junior engineers in infrastructure best practices, monitoring approaches, and database optimization techniques
  • Contribute to the IT R&D lifecycle strategy, providing innovative input for roadmaps and direction
  • Proactively manage infrastructure performance, bottlenecks, and operations to ensure cost-efficient designs
  • Plan and execute performance optimizations, reliability improvements, and system scalability for data systems
  • Create and maintain detailed technical documentation, including architecture design and operational processes, to ensure alignment across teams
  • Advance operational excellence by implementing robust monitoring, logging, and incident management solutions
Anforderung

Qualifications and skills to help you succeed:

  • Educational degree in IT, Computer Science, Computer Engineering, or related fields
  • 5+ years of experience designing, implementing, and managing large, complex infrastructure setups
  • Expertise in managing databases, both SQL and NoSQL
  • Hands-on experience with CI/CD tools and workflows, including Jira, Jenkins, Git and GitLab
  • Strong knowledge of Linux administration (preferably RedHat) and on-premise/cloud hybrid environments
  • Proficiency in scripting languages, such as Bash or Python, for task automation; Plus, Experience with virtualization and containerization technologies like Docker and Kubernetes
  • Fluent in English
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