DeveOps Engineer (Machine Learning) at Alfred & Victoria Associates

Department: Technology
Reports To: Chief Technology Officer

Job Description

• We need skilled, talented and smart DevOps Engineer for Machine Learning to join our growing technology team. We are looking to hire developer who is interested in joining highly motivated problem solvers powering the future of intelligent marketing.

Context:

• Excellent people-relations skills.
• Fast-paced work environment.

Job Duties and Responsibilities
The DevOps Engineer (Machine Learning) will carry out these functions:

• Spearhead the creation of new technology infrastructures and maintain configuration management and automation tools.
• Assist the development teams in the deployment and monitoring of applications based on technologies such as C#, Java, Python, Ruby, MySQL, Postgresql, Elasticsearch, Logstash, Filebeat, Kibana, and RabbitMQ.
• Coaching the engineering development department personnel in the workings of reusable tools and patterns, for example, reusable deployment code for Jenkins, Octopus, Ansible, and Docker.
• Keeping up with industry best practices and trends on behalf of the Automation/Dev Ops department and the larger engineering department.
• Work with the engineering team on tooling and infrastructure to support ML deployment.
• Scale servers and cloud infrastructure to support resource need of our Machine Learning system.

Key Points:

• Creation and deployment of technology infrastructure.
• Application monitoring with the use of C#, Java, Python etc
• Knowledge share based on Machine Learning.

Educational Qualifications, Certifications and Experience

• First Degree in Computer Science, Systems Engineering, Mathematics, Statistics or other related field
• Minimum of One- two (1-2) years working experience on Machine Learning in a fast paced and complex business settings.

Competencies:

• Experience automating and managing large-scale infrastructure and have significant familiarity with Docker/Puppet/Chef/Ansible/Powershell DSC/Kubernetes.
• The candidate will have had vast experience in systems automation, orchestration, deployment, and implementation.
• Experience with Jenkins, NGINX, Apache, Bash, Powershell, IIS, Linux, C#, Java, Python, Ruby,MySQL, Postgresql, Elasticsearch, Logstash, Filebeat, Kibana and RabbitMQ.
• Ability to work closely with other engineers, product managers and customer support. Must be highly analytical and effectively able to troubleshoot and prioritize needs, requirements and other issues.
• Attention to details, decisiveness, good judgment, strong organization skills, good written communication skills.

Salary
Very attractive.