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Tier-1 employer, metro Bangalore, mid-level generalist infrastructure role with broad skill requirements.
Core infrastructure and cloud skills transfer broadly across industries despite banking preference.
Explicit 5+ years, certifications, deep infrastructure/cloud and mandatory AI-validation requirements increase selectivity.
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Lead infrastructure engineering workstreams focusing on design, development, troubleshooting, and modernization within a global financial institution.
Apply and validate AI-assisted solutions to analyze complex infrastructure signals and document mitigation options ensuring security and resiliency.
Collaborate across platforms to implement changes addressing upstream/downstream technical impacts and drive reuse-first AI-assisted delivery and automation routines.
5+ years of applied experience with formal training or certification in infrastructure engineering concepts.
Deep expertise in at least one infrastructure engineering area (e.g., hardware, networking, databases, storage, deployment, automation, scaling, resilience, or performance assessments).
Proficiency in a specific infrastructure technology and scripting languages (e.g., Python).
Experience applying and validating enterprise-authorized AI capabilities in infrastructure workflows with strong compliance to data sensitivity, security, auditability, and resiliency standards.
Operates effectively within large, complex, and regulated financial environments requiring cross-functional collaboration and technical modernization.
Demonstrates strong technical depth in cloud infrastructure (public and private cloud operation and migration) and infrastructure automation.
Experienced in adopting AI-assisted infrastructure tools responsibly to reduce issues and align with governance frameworks, preferably with background in banking or financial domains.