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Tier-1 fintech brand and metro hiring, but senior specialized role limits applicant density.
Fintech/regulatory context raises domain bias, but Kubernetes and observability skills remain transferable.
Explicit 8–15 years, mandatory Kubernetes, production incident and customer-facing experience make filters stringent.
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Diagnose, troubleshoot, and resolve complex production issues across application, platform, and infrastructure layers for an AI-enabled banking platform used by Tier-1 financial institutions.
Analyze observability data (logs, metrics, traces, alerts) and leverage AI-driven insights to identify root causes and validate remediation during critical incidents.
Engage directly with enterprise customers and collaborate with engineering/product teams to improve system reliability; support cloud, hybrid, and customer-hosted environments in 24/7 rotational shifts.
8 to 15 years of hands-on experience troubleshooting production or customer-facing systems.
Practical experience with Kubernetes and containerized environments, alongside Linux, networking fundamentals, APIs, and service architectures knowledge.
Proven customer-facing technical support or escalation role experience with strong analytical and communication skills.
Experience using or integrating AI tools or large language models in technical workflows.
Experienced in supporting SaaS platforms, banking systems, fintech, or regulated financial environments.
Familiar with cloud platforms (AWS, Azure, Google Cloud) and infrastructure-as-code/deployment tools like Terraform, Helm, ArgoCD, or Flux.
Operates effectively in fast-paced, high-availability environments requiring 24/7 shift support and direct enterprise customer engagement.