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DevOps Engineer
4 months ago
Position Overview:
We are seeking a talented DevOps Engineer to join our infrastructure team and play a key role in optimizing our systems and deployment processes. The ideal candidate will have 4-6 years of experience, strong Python skills for automation, and the ability to work collaboratively within a Microsoft-focused environment. Knowledge of SQL and familiarity with AI concepts would be a significant plus.
Responsibilities:
Collaborate with the infrastructure team to design and implement CI/CD pipelines for automated software delivery.
Utilize Python and other scripting languages to automate deployment, monitoring, and management processes.
Work closely with Microsoft technologies and tools for infrastructure management and automation.
Mentor and support other team members in adopting DevOps practices and tools.
Monitor system performance and reliability, implementing optimizations and troubleshooting as needed.
Assist in the development and maintenance of data warehousing solutions.
Stay updated with industry trends and emerging technologies related to DevOps, SQL, and AI.
Implement and manage infrastructure security measures, ensuring compliance with industry standards and best practices.
Contribute to capacity planning and scalability efforts to support the company's growth.
Participate in on-call rotation and respond to infrastructure-related incidents in a timely manner.
Qualifications:
Bachelor's degree in Computer Science, Engineering, or related field, or equivalent work experience.
4-6 years of experience in a DevOps or related role.
Proficiency in Python and scripting for automation tasks.
Strong understanding of CI/CD principles and experience with related tools.
Familiarity with Microsoft technologies for infrastructure management and automation.
Experience working with Terraform on Azure and/or Bicep.
Knowledge of SQL for data querying and manipulation.
Familiarity with AI concepts and tools would be a significant plus.
Excellent communication and interpersonal skills.
Preferred Qualifications:
Experience with data warehousing technologies.
Knowledge of cloud platforms, particularly Microsoft Azure.
Experience with containerization and orchestration tools.
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