DevOps Engineer - ML /AI

Siemens

Job Title: DevOps Engineer

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.

Location: Bangalore Gold Hill office, Electronic City Phase 2

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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Confirmed 12 hours ago. Posted 30+ days ago.

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