Senior Backend Engineer - Distributed Systems

Responsibilities:

• 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 scale.

Infrastructure 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 operations.
• Experience with zero-trust network architectures and service-to-service authentication.

Skills

backend, distributed, microservices, replication, service mesh, sharding, zero-trust