Lead Machine Learning Engineer

We're seeking an experienced DevOps Engineer to join our team. As a DevOps Engineer, you will be responsible for bridging the gap between development and operations teams by designing, implementing, and maintaining our DevOps practices. You will work closely with our development team to ensure seamless deployment of our applications.

Responsibilities

· Design and implement DevOps practices and tools

· Develop and maintain scripts for automation of deployment and testing

· Ensure smooth deployment of applications to production environments

· Collaborate with development team to identify and resolve deployment issues

· Implement monitoring and logging tools to ensure system reliability

· Ensure compliance with industry standards and best practices

· Troubleshoot and resolve DevOps-related issues

Skills Needed

· 3+ years of experience in DevOps engineering

· Strong knowledge of DevOps tools (Jenkins, Docker, Kubernetes, etc.)

· Experience with scripting languages (Python, Bash, etc.)

· Strong understanding of agile development methodologies

· Experience with cloud computing platforms (AWS, Azure, Google Cloud)

· Strong understanding of networking fundamentals (TCP/IP, DNS, etc.)

· Excellent problem-solving and communication skills

Qualifications

· Bachelor's degree in Computer Science, Information Technology, or related field

· Certified DevOps Engineer or related certification (optional)

· Proven experience in designing and implementing DevOps practices

· Strong understanding of DevOps concepts and technologies

What We Offer

· Opportunity to work with a dynamic and growing organization

· Collaborative and supportive work environment

· Professional development opportunities

· Flexible working hours and remote work options