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Popular backend role in a Gurgaon metro with mid-level seniority, despite niche Kubernetes/storage requirements.
Deep platform, Kubernetes, and storage expertise limits transferability to infrastructure-focused companies.
Multiple mandatory technical prerequisites and a strict 6-9 year experience requirement.
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Develop and extend Kubernetes API including writing custom operators to manage complex stateful app lifecycles.
Build and operate high-scale SaaS backend microservices focused on concurrency, low latency, and distributed system principles.
Design and implement telemetry and observability infrastructure for highly concurrent services using OpenTelemetry, Prometheus, and Grafana.
6-9 years programming experience in Go (Golang) or JVM languages (Java 11, Kotlin).
Proven experience building and operating production-grade SaaS products at scale (millions of requests).
Experience with Kubernetes, including custom operators (Kubebuilder or Operator SDK).
Experience with cloud storage systems such as S3, NFS, NetApp OnTap, AWS FSX, and cloud platforms (AWS/GCP/Azure/Private DC).
Strong platform engineering expertise combining Kubernetes internals with large scale backend development experience.
Experienced in designing observable and highly available cloud native systems with operational maturity (SRE mindset).
Comfortable managing persistence in hybrid cloud environments and optimizing storage/cost tradeoffs in large distributed systems.