DevOps Engineer

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.