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DevOps Engineer - ML /AI

Siemens

Siemens

Software Engineering, Data Science
Bengaluru, Karnataka, India
Posted on Feb 11, 2025

Job Description

Job ID

453194

Company

Siemens Healthcare Private Limited

Organization

Siemens Healthineers

Job Family

Information Technology

Experience Level

Experienced Professional

Full Time / Part Time

Full-time

Contract Type

Permanent
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.