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Tier-1 brand, mid-level SRE role, metro location and broad AI+infra requirements create high applicant competition.
SRE and AI automation skills transfer across industries, but security and infrastructure experience increases hiring sensitivity.
Explicit 5+ years requirement plus mandatory SRE, Kubernetes, Linux and AI-agent skills make shortlisting strict.
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Own design and development of AI-driven agents for autonomous detection, diagnosis, and remediation of operational issues across distributed infrastructure.
Develop intelligent automation pipelines and agentic workflows integrating with monitoring and telemetry systems to reduce manual operational toil.
Support AI-assisted incident response and maintain operational platform performance including availability, latency, and throughput with focus on automation.
Bachelor's degree or equivalent in Computer Science, Engineering, or related field.
5+ years software engineering experience with systems/infrastructure concepts.
5+ years experience in Python (strongly preferred), Go, Java, or C++ with foundational exposure or strong interest in AI agents or LLM-powered automation.
Working knowledge of Linux administration and familiarity with Kubernetes and modern monitoring stacks (ELK, Prometheus, Grafana).
Experienced in building or integrating AI/LLM-powered automation and agentic frameworks like LangChain, AutoGen, or CrewAI.
Able to collaborate effectively in a globally distributed engineering team focused on autonomous infrastructure operations.
Demonstrated capability to reduce operational toil through AI-driven tooling, with solid understanding of distributed systems and SRE/platform engineering practices.