SRE Lead

SRE Lead
• Deep understanding of SRE principles and experience in anomaly detection, root cause analysis, and predictive maintenance.
• Working Knowledge on Automation first approach, defining SLI/SLO/Error Budgets
• Experience in leading an operations team in Application Production Environment
• Experience in Scripting Languages (Java, Python, PowerShell, VBScript)
• Working knowledge of Kubernetes and Opentelemetry
• Knowledge on the Generative AI concepts, LLM fundamentals and Responsible AI concepts
• Knowledge of DevOps methodologies, tools and automation –CICD pipelines, tools (GitHub, Terraform, ArgoCD, Helm etc) and infrastructure automation
• Experience in working with Public / Private cloud (AWS, Azure, GCP, Rancher etc.,)
• Proficiency in incident response, change and release process, application monitoring, and platform optimization.
• Knowledge on the fine-tuning models, prompt engineering, RAG fundamentals and cost optimisation is a plus

What you’ll be doing
• Lead a team of platform, application and incident SREs to debug/troubleshoot application and infrastructure issues in cloud-based environment/on-premises environment. Handle live production incidents.
• Lead efforts to improve the performance, availability and reliability of applications.
• Define and implement effective observability solutions to proactively identify and resolve issues and drive optimisation
• Define and manage incident process, change and release management process, deployment process, on-call and escalation process.
• Develop automation (IaC, Alert as code, dashboard as code etc) to increase efficiency and reduce toil
• Conduct POC to implement tools and solutions to support Generative AI application platform
• Analyse operational performance (Incidents, Problems and Alerts trends) and drive optimisation
• Follow and implement SRE best practices and standards within the team
• Document SOPs, processes, critical system information, KB articles, POCs, standards and best practices for current and future references
• Provide technical guidance and mentorship to junior SRE team members
• Stay updated with the latest advancements in Generative AI space
What you bring to the team
• Experience in SRE principles & best practices to manage on-premises and cloud applications
• Working knowledge on the Generative AI applications
• Ability to lead the team for continuous improvement, estimate work and escalate issues on time
• Strong analytical skills to identify and resolve complex technical issues to ensure system reliability and minimize downtimes
• Strong communication and interpersonal skills to effectively collaborate with cross-functional teams
Mandatory Skills:
• Deep understanding of SRE principles and experience in anomaly detection, root cause analysis, and predictive maintenance.
• Working Knowledge on Automation first approach, defining SLI/SLO/Error Budgets
• Experience in leading an operations team in Application Production Environment
• Experience in Scripting Languages (Java, Python, PowerShell, VBScript)
• Working knowledge of Kubernetes and Opentelemetry
• Knowledge on the Generative AI concepts, LLM fundamentals and Responsible AI concepts
• Knowledge of DevOps methodologies, tools and automation –CICD pipelines, tools (GitHub, Terraform, ArgoCD, Helm etc) and infrastructure automation
• Experience in working with Public / Private cloud (AWS, Azure, GCP, Rancher etc.,)
• Proficiency in incident response, change and release process, application monitoring, and platform optimization.
• Knowledge on the fine-tuning models, prompt engineering, RAG fundamentals and cost optimisation is a plus
Experience and Education:
• A Bachelor’s degree in Computer Science or related field, with 5+ years of experience in leading a team of SRE engineers