Senior Site Reliability Engineer

LTM; Pune District; Hybrid; INR 2,400,000 - 4,000,000; Full time

Job summary

LTM in Pune, Maharashtra, is seeking a Site Reliability Engineer (SRE) – Platform Engineering with Gen AI exposure. You will build, scale, and operate reliable, secure, and automated platform services to improve system reliability and developer productivity.

You will implement SRE practices, manage Kubernetes-based workloads in cloud environments, develop CI/CD pipelines and IaC, and participate in on-call incident response and RCA when required.

Qualifications

• Hands-on experience with SRE/Platform/DevOps/Cloud Engineering/ AI
• Kubernetes, Docker, Linux
• Scripting/programming: Python, Go, Bash
• Cloud: AWS/Azure/GCP
• Terraform / IaC, monitoring & alerting
• Experience with developer platforms or service mesh is a plus

Responsibilities

• Build and operate highly available, scalable platform services
• Implement SRE practices: SLIs, SLOs, error budgets, automation
• Manage and scale Kubernetes-based workloads in cloud environments
• Develop and maintain CI/CD pipelines and Infrastructure as Code
• Own production reliability, participate in on-call, incident response
• Enhance observability with metrics, logs, and traces

Skills

Kubernetes

Docker

Linux

Python

Go

Bash

AWS

Azure

GCP

Terraform

IaC

Job description

Site Reliability Engineer (SRE) – Platform Engineering with experience in Gen AI Role

We are seeking an SRE Platform Engineer to build, scale, and operate reliable, secure, and automated platform services. You will focus on improving system reliability, reducing operational toil, and enabling developer productivity through strong engineering practices. You should also be willing to work on COE initiatives and internal Intellectual properties and products that team is required to build to fulfil the different client requirements.

Key Responsibilities

• Build and operate highly available, scalable platform services
• Implement SRE practices: SLIs, SLOs, error budgets, and automation
• Manage and scale Kubernetes-based workloads in cloud environments
• Develop and maintain CI/CD pipelines and Infrastructure as Code
• Own production reliability, participate in on-call, incident response, and RCA (if required)
• Enhance observability using metrics, logs, and traces

Required Skills

• Experience in SRE / Platform / DevOps / Cloud Engineering/ AI
• Hands-on experience with Kubernetes, Docker, Linux
• Strong scripting/programming skills (Python, Go, Bash)
• Experience with AWS / Azure / GCP
• Familiarity with Terraform / IaC, monitoring, and alerting tools
• Nice to Have Experience with internal developer platforms, service mesh, or FinOps Cloud or Kubernetes certifications