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Tier-1 employer, metro Bengaluru, and broad AIOps skillset increase candidate competition.
Core DevOps and automation skills transfer across industries, though AIOps tooling adds domain specificity.
Explicit 2+ years plus hands-on scripting, AIOps and LLM tooling requirements create moderate screening filters.
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Develop, test, and deploy automation scripts and AI tools (RAG-based search, conversational AI bots) to reduce manual workflows for L1/L2 support teams.
Build and maintain operational dashboards and automated diagnostics to track system metrics such as uptime, MTTR, SLA compliance, and CSAT.
Collaborate with support engineers to automate ticket triage, implement self-service mechanisms, and assist in anomaly detection and self-healing infrastructure validation.
Bachelor’s or Master’s degree in Computer Science, IT, Software Engineering, or related quantitative field.
~2 years of hands-on experience in Software Engineering, AIOps, DevOps, Systems Automation, or Technical Support Engineering.
Proficiency in scripting (Python, Shell, PowerShell), API integrations (REST APIs, webhooks), and working knowledge of ITSM platforms (ServiceNow, Jira Service Management).
Experience with AI/LLM utilities (LLM APIs, RAG architectures), basic cloud environment understanding (AWS, Azure, or GCP).
Technically driven engineer with strong skills in coding, automation pipeline development, and AI tool integration under senior leadership guidance.
Experience working closely with L1/L2 support teams to convert manual operations into automated workflows and diagnostics.
Comfortable iterating rapidly on scripts and solutions based on operational feedback, with an emphasis on measurable operational improvements such as MTTR reduction and ticket deflection.