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Recognized fintech brand and common platform-support role, but senior 8–15 years and 24/7 shifts narrow the pool.
Core Kubernetes and cloud skills transfer across industries, though fintech and regulated experience is preferred.
Explicit 8–15 years plus mandatory Kubernetes, observability, cloud, and customer-facing support makes filters strict.
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Own end-to-end troubleshooting and resolution of complex production issues in AI-enabled banking platforms involving applications, platform, and infrastructure layers.
Engage directly with enterprise customers during incidents to diagnose and resolve real-time issues ensuring speed, accuracy, and trust.
Use observability and AI-driven tools to monitor system health, analyze anomalies, and improve support processes including runbooks and alerts.
8 to 15 years of hands-on experience supporting production or customer-facing systems.
Strong practical experience with Kubernetes and containerized environments.
Proven experience in customer-facing technical support or escalation roles.
Work in 24/7 rotational shifts.
Experienced in troubleshooting distributed systems with skills in logs, metrics, traces, and alert analysis for root cause determination.
Comfortable working with cloud, hybrid, and customer-hosted environments, and collaborating with engineering/product teams on reliability.
Skilled in communicating complex technical information to both technical and non-technical stakeholders effectively.