Senior Platform / DevOps Engineer (Real-time Media, WebRTC, Edge + Cloud)
TLDR
Join a hands-on team to build a scalable, resilient real-time communications platform using cutting-edge technologies, including multi-region Kubernetes and Infrastructure-as-Code.
Senior Platform / DevOps Engineer (Real-time Media, WebRTC, Edge + Cloud)
Job title: Platform / DevOps Engineer (WebRTC, Edge + Cloud)
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
Strong 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 easy to operate
Blue Machines AI builds a robust Voice AI platform tailored for enterprises, enabling businesses to automate interactions while maintaining context and compliance. We cater to a range of industries, helping clients like airlines and banks seamlessly transition from AI-driven support to human agents, ensuring a smooth customer experience.
- Founded
- Founded 2019
- Industry
- Internet Software & Services