Devops SRE-AI

LTM; Chennai; In loco; INR 1.400.000 - 2.400.000; Tempo pieno

Descrizione del lavoro

LTM in Chennai is seeking an experienced Site Reliability Engineer (SRE) to build, scale, and operate reliable platform services. You will implement SRE practices, manage Kubernetes-based workloads, and improve observability to reduce toil and boost developer productivity.

The role involves developing CI/CD pipelines, Infrastructure as Code, on-call incident response, and RCA participation, with opportunities to contribute to COE initiatives and internal AI/GenAI platforms.

Competenze

• 5-16 years of experience in SRE, Platform, DevOps, Cloud Engineering, or AI.
• Hands-on with Kubernetes, Docker, and Linux.
• Experience with AWS, Azure, or GCP.
• Familiarity with Terraform/IaC, monitoring, and alerting tools.
• Nice to have experience with internal developer platforms or service mesh.

Mansioni

• Build and operate highly available 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 IaC.
• Own production reliability, participate in on-call, incident RCAs.
• Enhance observability with metrics, logs, and traces.

Conoscenze

Kubernetes

Docker

Linux

Terraform

CI/CD

Python/Go scripting

Strumenti

Cloud platforms

Descrizione del lavoro

Greetings from LTM

We have opportunity for DEVOPS SRE-AI

Location - Chennai

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