DevOps Engineer

BookMyMentor

Chennai District

On-site

INR 1,200,000 - 1,800,000

Full time

14 days+
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Job summary

BookMyMentor is looking for a passionate Lead DevOps & SRE to ensure platform reliability, scalability, and security. In this role, you will work with technologies like AWS, Azure, and automation tools such as Terraform and Ansible, contributing to a cloud-native architecture.

Ideal candidates will have 6+ years in DevOps or SRE, focusing on CI/CD automation, monitoring, and incident management to support scalable cloud infrastructure.

Qualifications

  • 6+ Years in DevOps, Site Reliability Engineering (SRE), Cloud Infrastructure, or Platform Engineering.
  • Experience with evaluating and introducing DevOps tooling and platforms.
  • Support AI-enabled product infrastructure with GPU workloads.

Responsibilities

  • Ensure platform reliability, scalability, security, and cloud infrastructure.
  • Automate CI/CD processes and implement deployment best practices.
  • Lead team efforts in monitoring and incident management.

Skills

DevOps
Site Reliability Engineering (SRE)
Cloud Infrastructure
AWS
Azure
Infrastructure as Code
CI/CD
Docker
Kubernetes
Python

Tools

Terraform
Ansible
GitHub Actions
Jenkins
Prometheus
Grafana
Datadog

Job description

Lead DevOps & SRE responsible for platform reliability, scalability, security, and cloud infrastructure. AWS/GCP/Azure, Infrastructure as Code (Terraform, CloudFormation, Ansible, Pulumi). CI/CD automation using Jenkins, GitHub Actions, ArgoCD, and deployment best practices. Docker, Kubernetes/ECS, cloud-native architecture, and container orchestration. Monitoring, observability, incident management, SLIs/SLOs, Prometheus, Grafana, Datadog. Scripting (Python, Bash, Go), security, automation, cost optimization, and team leadership. As we continue to grow, we’re looking for passionate builders, problem-solvers, and ownership-driven professionals to join us on this journey.

Requirements
  • 6+ Years in DevOps, Site Reliability Engineering (SRE), Cloud Infrastructure, or Platform Engineering.
  • Evaluate and introduce DevOps tooling, platforms, and practices.
  • Contribute to AI-enabled product infrastructure by supporting GPU workloads, model serving, AI pipeline orchestration, and data platform.
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