DevOps
Full-time
Middle DevOps Engineer
We are looking for a Middle DevOps Engineer to join our backend team behind one of the most powerful live-streaming platforms in the industry. You will keep our high-load infrastructure fast, reliable, and cost-efficient while working hand-in-hand with backend engineers on a system built to serve a massive global audience in real time. This is a role for someone who thinks in systems, isn't afraid to dig into the product's architecture, and is genuinely curious about using AI tools to work smarter, not just faster.
About our product: We are building one of the most powerful live-streaming platforms, already connecting 400K+ monthly active users through live events, interactive video chats, and real-time community experiences. Our mission is bold: bring joy, fight loneliness, and deliver safe, ad-free entertainment that keeps people coming back. This is a complex, fast-moving space, and we love it that way! So, you will join a passionate, expert team tackling everything from scaling AI-powered recommendations to launching high-impact, data-driven features that boost monetization and engagement. Every idea counts here, and every release reaches a massive global audience. We are now expanding into Arab countries and Europe, enhancing content quality, and rolling out new features to keep users hooked. We are among the Top 5 streaming products in the US and rank in the Top 10 worldwide. Our next milestone: break into the global Top 5, and we are moving fast to make it happen. Are you in?
-
Keep our Kubernetes infrastructure smooth and self-healing, maintaining manifests that power a high-load, real-time product
-
Fine-tune Karpenter so our nodes scale up and down exactly when they need to, no waste, no lag
-
Build the alerting nervous system of our infra, piping critical issues straight to Slack before they become incidents
-
Design Grafana dashboards that give the team a clear, real-time view of both tech health and product metrics
-
Set up Firebase alerts for Cloud Functions to catch issues at the source
-
Roll out Artifactory (e.g. JFrog) and unlock automated testing on CI, making releases faster and safer
-
Own cost control and optimization, turning infrastructure spend into a metric you actively improve
-
Connect the dots between Gitlab, Slack, and Approvals, and stand up a self-hosted Sentry to give the team full visibility into what's breaking and why
Recommend a friend
