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Posted 09 July, 2026

Senior Platform / DevOps Engineer (Real-time Media, WebRTC, Edge + Cloud)

Blue Machines AI
Bengaluru, KA, IN Full Time
Reference: 2c292eb2c1eef595

Job Description

Senior Platform / DevOps Engineer (Real-time Media, WebRTC, Edge + Cloud)
Job title: Platform / DevOps Engineer (WebRTC, Edge + Cloud)
\n Location: Bengaluru (Hybrid/Office)
\n Employment type: Full-time
\n Experience: 5–12+ years (flexible for strong fit)
About the role
\n 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.
\n We’re especially interested in engineers who’ve seen scale in real-time/streaming infra.
What you’ll do
\n Own reliability and performance of signaling, SFU/media nodes, TURN , routing, failover, and capacity planning
\n Build and run multi-region Kubernetes platforms with secure networking and zero-downtime deployments
\n Design edge + cloud architecture: PoPs, global routing, failover, autoscaling, DR
\n Implement SLOs/SLIs , incident response, postmortems, and operational excellence
\n Create strong observability : metrics, logs, tracing, and real-time QoE/latency metrics

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  • Ship Infrastructure-as-Code and automation: Terraform, Helm, GitOps, CI/CD
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Required skills
\n Strong production experience with Kubernetes at scale (multi-cluster/multi-region)
\n Strong Linux + networking fundamentals (UDP/TCP, NAT, conntrack, DNS, load balancing)

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  • Experience with IaC + delivery : Terraform, Helm, GitOps (ArgoCD/Flux), CI/CD
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  • Proven on-call ownership for high-availability systems
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Nice to have

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  • WebRTC/RTC operations: ICE, STUN/TURN, SFU scaling, packet loss/jitter tuning
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  • Edge/PoP and traffic management experience (global routing, Anycast/DNS strategies)
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  • Cost optimization for bandwidth-heavy workloads
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  • Experience operating realtime/streaming systems at very high concurrency
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What success looks like
\n You can keep a real-time system stable through traffic spikes, packet loss, ISP variability, zone/region failures

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  • You think in terms of latency budgets, concurrency, bandwidth, packets/sec , not just pods and nodes
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  • You build platforms that are observable, automatable, and easy to operate
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