We are looking for an experienced DevOps Engineer who has hands-on experience deploying applications on live environments and working on production-grade projects. The ideal candidate should be technically strong, cloud-savvy, and comfortable working with LLM-based systems and modern DevOps practices across AWS, Azure, or GCP.
Key Responsibilities:
- Design, implement, and manage CI/CD pipelines for multiple environments (dev, staging, production).
- Deploy, monitor, and maintain live applications and services with high availability and scalability.
- Work closely with development, AI/ML, and product teams to support LLMbased applications.
- Manage cloud infrastructure on AWS, Azure, and/or GCP.
- Implement infrastructure as code (IaC) using tools like Terraform, CloudFormation, or ARM templates.
- Handle containerization and orchestration using Docker and Kubernetes.
- Ensure system reliability through monitoring, logging, alerting, and performance optimization.
- Troubleshoot production issues, perform root cause analysis, and implement preventive measures.
- Maintain security best practices, access control, secrets management, and compliance standards.
Required Skills & Qualifications:
- 3–5 years of hands-on DevOps experience with real production/live deployments.
- Experience working on multiple live projects and managing deployments endto-end.
- Strong understanding of DevOps fundamentals and OOPS concepts.
- Hands-on experience with cloud platforms: AWS, Azure, and/or GCP.
- Experience supporting or deploying LLM-based or AI/ML applications.
- Working knowledge of CI/CD pipelines, automation, and release management. Experience with Docker and Kubernetes.
- Strong Linux and scripting skills for automation and troubleshooting.
- Good understanding of system monitoring, security, and cloud best practices.
Preferred Skills:
- Experience deploying LLM models, inference pipelines, or AI platforms in production.
- Exposure to MLOps / AIOps practices.
- Experience with monitoring tools (Prometheus, Grafana, ELK, Datadog).
- Knowledge of Python or similar scripting languages.
- Experience in high-availability and scalable architectures.
- What We’re Looking For Someone who has deployed systems, not just theoretical knowledge.
- Comfortable owning production responsibility.
- Strong problem-solving mindset and ability to work in fast-paced environments.
Pay: Up to ₹600,000.00 per year
Benefits:
- Health insurance
- Paid sick time
- Provident Fund
Application Question(s):
- Current ctc in hand?
- Expected ctc in hand?
- Notice period in days?
Experience:
- DevOps: 3 years (Required)
Location:
Work Location: In person
