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.