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DevOps Engineer - ML /AI

DevOps Engineer - ML /AI

Siemens

4 - 6 years

14 - 18 Lacs

Bengaluru

Posted:1 day ago| Platform:

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Skills Required

continuous integration software development cd tools containerization ci / cd tools kubernetes python ci/cd disaster recovery network architecture docker ansible system administration automation tools devops jenkins terraform protocols aws

Work Mode

Work from Office

Job Type

Full Time

Job Description

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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Siemens

Automation Machinery Manufacturing

Munich Brande

10001 Employees

1968 Jobs

Key People

Roland Busch

President and Chief Executive Officer
Ralf P. Thomas

Chief Financial Officer
Barbara Humpton

CEO of Siemens USA

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DevOps Engineer - ML /AI