Qualifications :
- Bachelors degree in Computer Science or a related field
- Significant experience in a DevOps or Site Reliability Engineering(SRE) role
- Strong expertise in Kubernetes, including deployment, scaling, andmanagement of containerized applications
- Proven experience in setting up and managing open-source platforms like Elasticsearch,Kafka, and Grafana
- Solid understanding of infrastructure as code principles and experience with tools likeTerraform or Ansible
- Experience with CI / CD tools (eg, Jenkins, GitLab CI / CD, CircleCI)
- Strong scripting skills (eg, Python, Bash)
- Excellent troubleshooting and problem-solving abilities
- Strong communication and collaboration skills, with the ability to work effectively withML and development teams
- A strong desire to learn and grow in the field of MLOps
Bonus Points :
Experience with cloud platforms (eg, AWS, GCP, Azure)Familiarity with MLOps tools and concepts (eg, MLflow, Kubeflow)Experience with data engineering toolsQualifications :
Bachelors degree in Computer Science or a related fieldSignificant experience in a DevOps or Site Reliability Engineering(SRE) rolestrong expertise in Kubernetes, including deployment, scaling, andmanagement of containerized applicationsProven experience in setting up and managing open-source platforms like Elasticsearch,Kafka, and GrafanaSolid understanding of infrastructure as code principles and experience with tools like Terraform or AnsibleSkills Required
Aws, Gcp, Azure, Devops, Terraform