Key Responsibilities:

As a DevOps Engineer, you’ll be responsible for:

• Define and manage project scope, timelines, budget, and resources effectively. 

• Lead and mentor the development team, fostering a collaborative and high-performing environment. 

• Ensure high-quality code, robust testing and version control throughout the development lifecycle.  

• Establish and maintain a robust CI/CD pipeline for efficient and reliable software delivery (e.g., Git Actions, Code Build, etc.).

• Manage and maintain the necessary cloud infrastructure (AWS) (development, Production, automation tools) for the ML/Data Automation project. 

• Implement robust monitoring and logging to track system performance, identify issues, and improve operations.  

• Prioritize security throughout the ML/Data automation lifecycle.

• Identifying and deploying cybersecurity measures by continuously performing vulnerability assessment and risk management.

• Effectively handle and resolve incidents that may arise with root cause analysis.

• Continuously review and improve MLOPs processes to increase efficiency, reduce costs, and enhance overall quality. 

• Maintain clear and effective communication with stakeholders, team members, and customers throughout the project lifecycle.

Requirements

• 3+ year's experience with DevOps

• Requires theoretical to advanced knowledge obtained through a University degree, combined with experience

Education:

• Any graduate.