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Protocol Intelligence
Data-driven signals on your job's competitivenessMetro SRE internship with broad DevOps skills and walk-in drive attracts many applicants.
Core SRE, cloud, and Kubernetes skills are broadly transferable across industries despite GenAI context.
Entry-level internship requires basic skills without strict certifications or seniority filters.
Job Description
Structured overview of role & requirementsAbout This Role
Ensure high availability, scalability, and performance of AI-driven, Java-based applications with LLM integrations.
Support and optimize cloud-based GenAI platforms and containerized microservices using Kubernetes.
Monitor and automate SRE tasks with AI tools; troubleshoot production incidents and improve system efficiency in cloud environments (AWS/GCP/Azure).
Minimum Requirements
Experience: Final-year students or recent graduates (0–1 year experience).
Basic proficiency in Java (preferred) and/or Python, plus Shell scripting skills.
Understanding of Docker, Kubernetes fundamentals, Linux/Unix OS basics, and cloud environments (AWS/GCP/Azure).
Must be eligible to attend walk-in drive in Mumbai and submit required documents for security clearance.
Ideal Candidate Profile
Candidate comfortable working at the intersection of SRE, cloud infrastructure, and AI/GenAI platform operations.
Familiarity with monitoring tools (e.g., Prometheus, Grafana) and AI-driven automation for operational tasks is advantageous.
Open to learning emerging trends in AI-powered SRE and transitioning from internship to full-time engineering roles.