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Strong employer brand, metro Gurgaon location, and common DevOps title increase candidate competition.
Core DevOps and SRE skills transfer across industries, though AIOps specialization raises domain specificity.
Mandatory 8+ years, senior reliability automation experience and strong Python requirement increase shortlisting strictness.
Design and implement automation workflows to reduce manual overhead and speed incident response, using Python and tools like n8n.
Develop AI-enabled operational capabilities for detection, diagnosis, communication, and recovery in production systems.
Collaborate cross-functionally to enhance observability, resilience, and operational excellence across reliability engineering practices.
8+ years of experience in reliability engineering and automation.
Proficient in Python for building automation frameworks, APIs, and production-grade tools.
Deep knowledge of observability (metrics, logs, traces, alerting) and DevOps practices including CI/CD and infrastructure automation.
Experience in high-availability or mission-critical environments with strong debugging and incident management skills.
Experienced engineer with proven ability to lead automation initiatives that advance operational autonomy and resilience.
Strong cross-functional collaborator capable of influencing technical direction in SRE, platform, and infrastructure teams.
Familiar with AI/ML concepts applied to operations (AIOps) and modern platform engineering practices to drive scalable solutions.