Back
Tier-1 employer and Mumbai metro increase applicant density, though senior leadership reduces mid-level competition.
Core SRE/DevOps skills transfer across industries, but finance regulatory and audit requirements raise specificity.
Mandatory 10+ years, leadership SRE/DevOps experience, and regulatory/audit expectations tighten filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own enterprise-scale reliability, risk posture, and operational resilience for critical business computing workloads through AI-enabled autonomous infrastructure and service operations.
Drive measurable improvements in availability, latency, recovery times, and incident recurrence by establishing Site Reliability Engineering (SRE) practices and AI-correlated operational signals.
Design, implement, and govern automated remediation and self-healing systems with structured human oversight, collaborating across Engineering, Architecture, and Product teams to embed reliability into the engineering lifecycle.
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
10+ years experience in Service Management, DevOps, SRE, Product Engineering, or large-scale production operations.
Strong hands-on experience with observability, monitoring, and telemetry platforms designed for actionable reliability insights.
Proven experience transitioning from reactive support models to proactive, AI-assisted operational environments, including automation and AI Ops workflows governance.
Experienced leader capable of managing and developing a high-performing global team focused on operational resilience and accountability.
Strategic thinker who can implement AI-supervised, self-healing systems while maintaining compliance with operational and regulatory expectations.
Demonstrated expertise in integrating AI risk signals, change-aware operations, and data-driven reliability governance into large enterprise environments.