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Medium — senior niche SRE leadership with remote option and metro location attracts moderate competition.
High — role requires deep SRE, AIOps, cloud, and automation experience specific to enterprise IT operations.
High — explicit 14+ years requirement plus mandatory AIOps, cloud, SRE, and automation tool expertise.
Own the strategy and execution of AI-driven autonomous IT operations, targeting 100% elimination of L1 support and 50% reduction in L2 support effort through automation and self-healing frameworks.
Lead infrastructure engineering and site reliability engineering (SRE) practices across data center, cloud, and hybrid environments to ensure 99.5%+ uptime and significant reduction in incident resolution times (MTTR 1 hour).
Drive IT modernization and innovation initiatives, including implementation of Agentic AI, automated incident management, and CI/CD modernization with AI integration.
Bachelor’s degree in engineering, computer science, or related field (B.E./BTech preferred).
14+ years of progressive experience in infrastructure engineering, SRE, DevOps, and IT operations automation.
Hands-on expertise with AIOps platforms, Agentic AI, autonomous operations, cloud platforms (AWS/Azure/OCI), Kubernetes, IaC, scripting (Python/Shell), and ITSM tools (ServiceNow preferred).
Proven leadership experience managing transformation initiatives in large-scale, distributed IT environments with strong focus on automation and reliability.
Senior technology leader with extensive experience implementing AI-driven autonomous IT operations and significantly reducing manual support loads.
Strong strategic operator capable of defining and driving enterprise-wide transformation in infrastructure and SRE with clear performance and cost optimization metrics.
Demonstrated ability to lead multi-disciplinary teams and vendor relationships while partnering with cybersecurity, product, and enterprise architecture functions to enable secure and compliant autonomous operations.