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Tier-1 brand, metro location, mid-level generalist fullstack role creates high applicant competition.
Requires observability, distributed systems, and platform engineering expertise, limiting easy cross-industry transferability.
Explicit 6+ years plus mandatory Golang, Kubernetes, and observability/AI integration skills increases filter strictness.
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Design and build scalable, fault-tolerant telemetry infrastructure for observability including data ingestion, storage, and visualization.
Operate production-grade Kubernetes systems focusing on self-healing, autoscaling, and robustness.
Collaborate with SREs and platform teams to develop and maintain critical observability systems and participate in on-call rotations.
6+ years professional experience in full stack software development and infrastructure engineering.
Strong programming skills in Golang or equivalent system-level languages (Java, C++, Python).
Experience with designing and consuming REST/gRPC APIs and building scalable microservices.
Hands-on experience deploying and operating services in containerized environments (Kubernetes).
Deep understanding of distributed systems principles such as scalability, fault tolerance, consistency, and resiliency.
Experience integrating AI/LLM capabilities using frameworks like LangChain or LangGraph, and knowledge of AI-assisted software development techniques.
Familiarity with observability tools and concepts (Prometheus, OpenTelemetry, time-series data) and full-stack development with frontend skills (React, JavaScript/TypeScript).