Site Reliability Engineer

Required skills and qualifications

Exp- 7-12 Years

• Experience : Proven experience in technical support or engineering, preferably in AI / ML / GenAI environments.
• Technical Proficiency : Expertise in GenAI models (e.g., GPT, Claude, PaLM2, Llama2) and frameworks (e.g., RAG, Agents, COT).
• Cloud Platform and DevOps : Hands-on experience with cloud platforms (Azure, AWS, GCP) and DevOps tools.
• Database knowledge : SQL / Sybase / Mongo DB, any data warehouse (Snowflake, Databricks) experience.
• Scripting and Automation : Strong proficiency in Python, Shell scripting, and other relevant programming and UI languages like Java, Angular, http protocols.
• Monitoring tools knowledge like Splunk, AppDynamics, Autosys, Grafana / Loki / Prometheus
• ITIL application support management processes : Incident / Problem / Service / Jira management.
• Kubernetes and Containerization : Familiarity with containerization technologies like Docker, Loki and orchestration tools like Kubernetes (preferably EKS or OpenShift).
• Problem-solving and Analytical Skills : Excellent problem-solving, analytical, and troubleshooting skills with strong attention to detail.
• Communication and Collaboration : Strong command and control with good communication and interpersonal skills to collaborate effectively with diverse teams and stakeholders across global teams.
• Educational Background : Bachelor's degree in Computer Science, Engineering, or a related field.

Preferred qualifications