Devops SRE-AI

LTM; Hyderabad; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

LTM in Hyderabad is seeking an experienced Site Reliability Engineer (SRE) to build, scale, and operate reliable platform services. You will focus on reducing toil and improving developer productivity through strong engineering practices.

Responsibilities include building highly available Kubernetes-based workloads, implementing SRE practices (SLIs/SLOs), managing cloud deployments (AWS/AZURE/GCP), developing CI/CD pipelines and IaC, and improving observability through metrics, logs, and traces.

Qualifications

• 5–16 years of experience in SRE / Platform / DevOps / Cloud Engineering.
• Hands-on with Kubernetes, Docker, Linux; scripting in Python/Go/Bash.
• Experience with AWS / Azure / GCP; Terraform / IaC; monitoring and alerting tools.

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.
• Improve observability using metrics, logs, and traces.

Skills

Kubernetes

Docker

Linux

SRE practices

CI/CD automation

Python/Go/Bash scripting

Cloud platforms (AWS/Azure/GCP)

Tools

Terraform

Monitoring/Alerting tools

CI/CD tooling

Job description

Greetings from LTM

We have opportunity for DEVOPS SRE-AI

Location - Hyderabad

Exp - 6+ yrs

Site Reliability Engineer (SRE)

• Platform Engineering with experience in Gen AI Role Summary 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 5-16 years of 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