DevOps Engineer

Hiring: DevOps Engineer
Location: India – Remote
Experience: 3+ Years
Work Mode: Remote
Role Overview
We are looking for a hands-on DevOps Engineer with experience in cloud infrastructure, CI/CD automation, Infrastructure as Code (IaC), containerization, and DevSecOps practices. The ideal candidate will build scalable, secure, and reliable cloud environments while supporting AI/ML and GenAI workloads in production.
Key Responsibilities
Design, implement, and maintain scalable cloud infrastructure using AWS and/or Microsoft Azure.
Build, optimize, and maintain CI/CD pipelines using Azure DevOps, Jenkins, GitLab CI/CD, or GitHub Actions.
Automate infrastructure provisioning and configuration management using Terraform, Ansible, or equivalent IaC tools.
Deploy, manage, and troubleshoot containerized applications using Docker and Kubernetes.
Integrate security checks into CI/CD pipelines, including SAST, DAST, vulnerability scanning, and code-quality analysis.
Implement cloud security best practices covering IAM/RBAC, secrets management, network security, and policy enforcement.
Manage monitoring, logging, alerting, and reliability practices to ensure application availability and performance.
Develop automation scripts using Python, Bash, or PowerShell.
Support AI/ML and GenAI workloads, including model-serving infrastructure, containerized inference, and MLOps pipelines.
Apply secure development and deployment practices, including branch protection, pull-request reviews, and automated security checks.
Troubleshoot infrastructure, deployment, performance, and production issues in collaboration with development, QA, security, and AI/data teams.
Mandatory Skills
3+ years of experience in DevOps, Cloud Engineering, Platform Engineering, or SRE.
Hands-on experience with AWS and/or Microsoft Azure.
Strong understanding of CI/CD pipelines and release automation.
Experience with Terraform or other Infrastructure as Code tools.
Working knowledge of Docker and Kubernetes.
Scripting proficiency in Python, Bash, or PowerShell.
Understanding of cloud security, IAM/RBAC, secrets management, and DevSecOps practices.
Practical exposure to AI/ML or GenAI workloads, MLOps, model deployment, or AI-enabled application infrastructure.
Good to Have
Experience with Azure RBAC, Azure Policy, Key Vault, Managed Identities, and Azure Landing Zones.
Familiarity with GitHub Actions security, branch protection, required status checks, and secret scanning.
Experience integrating tools such as SonarQube, Fortify, OWASP ZAP, Trivy, or equivalent SAST/DAST and vulnerability-scanning tools.
Understanding of security compliance frameworks such as ISO 27001 or NESA.
Experience with AKS/EKS, Kubernetes network policies, cluster hardening, and secrets management.
Knowledge of monitoring and observability tools such as Prometheus, Grafana, ELK/EFK, or equivalent platforms.
Exposure to Azure ML, MLflow, model-serving APIs, LLM inference, or Kubernetes-based AI deployments.
Relevant certifications such as Azure Administrator, Azure Solutions Architect, AWS Solutions Architect, or Kubernetes certifications.
Ideal Candidate
A hands-on DevOps Engineer who can automate cloud infrastructure, develop secure CI/CD pipelines, manage containerized workloads, implement cloud security controls, and support AI-enabled applications in production.

Work arrangement
Yes