Own production reliability for a real-time platform; uptime/latency are the product.
Own SLOs and error budgets per tenant/service.
Incident response and blameless postmortems.
Production scaling and capacity management.
Observability depth across p50/p95/p99 per event.
On-call rotation with DevOps; deliver on timelines.

🎯 Requirements

Strong Go or Python; automate reliability with code.
8+ years operating production systems at scale; SLO ownership.
Networking knowledge: TCP/UDP, TLS, WebSocket, DNS.
GCP at scale; multi-cloud literacy; multi-tenancy isolation experience.
Canary analysis and automatic rollback; release gates.
Strong debugging: traces, metrics, and incident response.

🎁 Benefits

Startup environment: weekly deploys, 1-week sprints.
Hands-on ownership of reliability for a real-time platform.
Collaborate with cross-functional teams in Hyderabad.

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