Location: Bengaluru (Hybrid/Office)
Employment type: Full-time
Experience: 5–12+ years (flexible for strong fit)
About the role
We’re building and operating a LiveKit-like real-time communications platform (WebRTC) that must scale to millions of calls with edge PoPs for ultra-low latency and multi-region cloud reliability . This is a hands-on, high-ownership role focused on production systems, performance, and resilience.
We’re especially interested in engineers who’ve seen scale in real-time/streaming infra.
What you’ll do
Own reliability and performance of signaling, SFU/media nodes, TURN , routing, failover, and capacity planning
Build and run multi-region Kubernetes platforms with secure networking and zero-downtime deployments
Design edge + cloud architecture: PoPs, global routing, failover, autoscaling, DR
Implement SLOs/SLIs , incident response, postmortems, and operational excellence
Create strong observability : metrics, logs, tracing, and real-time QoE/latency metrics
- Ship Infrastructure-as-Code and automation: Terraform, Helm, GitOps, CI/CD

Required skills




Solid production experience with Kubernetes at scale (multi-cluster/multi-region)
Strong Linux + networking fundamentals (UDP/TCP, NAT, conntrack, DNS, load balancing)
- Experience with IaC + delivery : Terraform, Helm, GitOps (ArgoCD/Flux), CI/CD
- Proven on-call ownership for high-availability systems

Nice to have
- WebRTC/RTC operations: ICE, STUN/TURN, SFU scaling, packet loss/jitter tuning
- Edge/PoP and traffic management experience (global routing, Anycast/DNS strategies)
- Cost optimization for bandwidth-heavy workloads
- Experience operating realtime/streaming systems at very high concurrency

What success looks like
You can keep a real-time system stable through traffic spikes, packet loss, ISP variability, zone/region failures
- You think in terms of latency budgets, concurrency, bandwidth, packets/sec , not just pods and nodes
- You build platforms that are observable, automatable, and

📌 Senior Platform (Bengaluru)
🏢 Blue Machines AI
📍 Bengaluru