Senior Devops/Mlops

5+ years experience in a DevOps/MLOps or in a similar role.
Bachelor’s degree in computer science or related field, or equivalent work experience.
Understanding of computer science fundamentals like threading, OOP and more.
Understanding of software systems concepts such as networking, firewalls, protocols, databases and more.
Understanding of software delivery practices such as Git branching models, configuration management, secret rotation, feature toggling, no-downtime deployments, and more.
Experience mentoring Junior and Intermediate DevOps/MLOps.
Strong organizational and communication skills.
Experience with CI/CD tools such as Jenkins.
Experience with containerization technology such as; Docker, Kubernetes.
Experience with Python or other similar scripting languages.
Experience with databases such as; CockroachDB, PostgreSQL.
Experience with distributed event streaming platforms such as; Kafka.
Experience with instrumentation & monitoring tools such as: Splunk, Loki, Zabbix, or Prometheus.
Experience with package managers and artifact repositories such as: Artifactory, npm.

Developing tools & frameworks to enhance our CI (Continuous Integration) & CD (Continuous Delivery) automation using industry standard CI/CD practices.
Leveraging the above mentioned CI/CD automation to deploy our services to Kubernetes.
Monitor and ensure smooth operation of our services in various environments.
Occasionally provide support and initial troubleshooting when required by reviewing dashboards and logs to ensure system issues are timely addressed.

Artificial intelligence or machine learning tools such as; MLFlow, JupyterHub, DVC, TensorFlow
Supporting containerized GPU workloads in Kubernetes
NoSQL data stores, including vector databases
Supporting Large Language Models