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Strong employer brand and metro location balanced by niche platform and healthcare specializations reduce but maintain medium competition.
High due to regulated healthcare context and specialized platform, GPU, and Kubernetes requirements limiting cross-industry transferability.
Explicit 8-12 years plus mandatory Kubernetes, Go, GitOps, GPU and regulated healthcare experience enforces high strictness.
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Lead deployment and configuration of AI-enabled Kubernetes platform components in hospital data centers and AWS, ensuring production readiness and security compliance.
Develop and maintain Kubernetes Operators in Go for product lifecycle management and integration with event-driven architectures using NATS, Kafka, or RabbitMQ.
Drive operational efficiency through automation, infrastructure-as-code, and ChatOps collaboration; produce deployment guides and support early-life production operations.
Bachelor's or Master's degree in Computer Science, Engineering, Information Technology or equivalent.
8-12 years of software development/engineering experience including integration and support.
5-8 years of platform, infrastructure, or software engineering experience with strong Kubernetes and Go programming skills.
Experience with AWS cloud services (IAM, VPC, EKS, CloudWatch, KMS), event-driven messaging platforms, GitOps practices, and security in regulated healthcare environments.
Experienced in deploying and managing multi-tenant Kubernetes platforms across on-premises and public cloud environments in regulated domains such as healthcare.
Proficient in lifecycle management via Kubernetes Operators and event-driven integration with resilience and observability focus.
Skilled in GPU-enabled workload integration in virtualized/secure environments and operational automation through infrastructure-as-code and ChatOps methodologies.