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Description supplied by the original job listing.
Responsibilities:
Architect and build a scalable cloud data plane for an AI security platform.
Develop highly available, multi-tenant distributed services with low latency.
Integrate with policy, analytics, orchestration, and auditing systems.
Design resilient request routing, service discovery, retries, and fault tolerance.
Optimise platform performance, scalability, reliability, and cost.
Implement observability using tracing, metrics, and logging.
Manage Kubernetes deployments, autoscaling, and multi-region disaster recovery.
Drive cloud architecture decisions and mentor engineering teams.
Requirements:
10+ years of experience building large-scale distributed systems.
Expertise in SaaS platforms, microservices, Kubernetes, and cloud-native architecture.
Experience with high-performance request-processing systems.
Strong knowledge of HTTP/1.1 HTTP/2 HTTP/3 gRPC, WebSockets, TLS, and streaming.
Hands-on experience with OpenTelemetry, Prometheus, Grafana, or Datadog.
Proficiency in Go, Java, C++, Rust, or similar languages.
Strong debugging, performance tuning, and system design skills.
Experience
10-14 yrs
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