System Reliability : Achieve 99.95%+ uptime across all critical user-facing services.
Performance : Maintain < 200ms P95 latency for all user-critical operations at 10x current scale.
Incident Reduction : Implement monitoring and automation that reduces production incidents by 80%.
Team Enablement : Create platform abstractions that let product teams ship features 3x faster.
Cost Optimisation : Scale infrastructure costs sub-linearly with user growth through intelligent architecture.
Requirements :
6+ years building and scaling distributed systems handling 5K concurrent requests in production.
Expertise in distributed consensus, eventual consistency, and CAP theorem trade-offs in
production environments.
Hands-on experience with microservices decomposition from monolithic architectures under live traffic.
Production experience with service mesh technologies and container orchestration at and Performance Expertise :
Experience in distributed caching strategies.
Production experience with message queue architectures handling > 1M messages / day.
Deep understanding of database sharding, replication, and distributed transaction management.
Hands-on experience with CDN optimisation and edge computing for global / multi-region deployments.
Proven ability to optimize systems achieving 100ms P99 latency for critical user-facing Experience with zero-trust network architectures and service-to-service authentication.
(ref : hirist.tech)
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Senior Backend Engineer • Bangalore
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