Senior DevOps Engineer

We are looking for an experienced DevOps Engineer to join our all-star team. As part of your role, you will be instrumental in the design, implementation, and deployment of products and infrastructure which will directly amplify our core business and enable new strategic growth opportunities. The backbone systems youll help build will sustain extreme requests loads and support sub-second ML prediction and on-the-go ML training. We are particularly looking for someone with a strong MLOps and Python development background.
If you are experienced but still hungry to learn and impact - wed love to have you on our team!
What Youll Do:
Collaborate with the team to manage and enhance our production infrastructure.
Contribute to the company infrastructure strategy and roadmap.
Own deployment, monitoring, troubleshooting, maintenance, and uptime of our production cloud environments.
Scale our services and ML prediction infrastructure to support extreme loads of data and traffic - Over 1M QPS at sub-second latency.
Work closely with Engineering and Data teams, taking full responsibility and ownership from conception to post-deployment in a collaborative, fast-paced environment.
Stay on top of modern technologies with our infra stack: Kubernetes, Helm,Terraform, Docker, Prometheus, Grafana, Python, Go, BigQuery, Redis, MySQL, Nginx/Kong, Bash, Aerospike.
Develop, update, and implement CI/CD pipeline and DevOps automation processes, methodologies, and tools.
Integrate MLOps practices to streamline ML model development, deployment, and monitoring.