Job Description
We are looking for a DevOps Engineer with 23 years of hands-on experience in deploying, managing, and optimizing applications on AWS and Azure cloud platforms. The ideal candidate should have strong exposure to CI/CD pipelines, cloud infrastructure, containerization, monitoring, and security best practices, and should work closely with engineering teams to ensure reliable and scalable deployments.
Key Responsibilities
Design, deploy, and maintain cloud infrastructure on AWS and Azure
Manage application deployments for backend and frontend services
Build and maintain CI/CD pipelines using tools like GitHub Actions, Azure DevOps, GitLab CI, or Jenkins
Provision infrastructure using Infrastructure as Code (IaC) tools such as Terraform, ARM templates, or CloudFormation
Deploy and manage applications using Docker and Kubernetes (EKS / AKS preferred)
Monitor system performance, availability, and reliability using tools like CloudWatch, Azure Monitor, Prometheus, Grafana
Handle Linux server administration, including performance tuning and troubleshooting
Implement security best practices (IAM, RBAC, secrets management, SSL, VPC/Networking)
Support production deployments, rollbacks, and incident resolution
Collaborate with developers to improve deployment reliability and automation
Maintain documentation for infrastructure and deployment processes
Requirements
Required Skills & Qualifications
23 years of experience as a DevOps / Cloud Engineer
Strong hands-on experience with AWS and Azure
Experience deploying applications using:
EC2, ECS, EKS (AWS)
Azure VM, App Services, AKS
Good understanding of CI/CD pipelines
Hands-on experience with Docker
Working knowledge of Kubernetes
Proficiency in Linux (Ubuntu/CentOS)
Experience with Git and version control workflows
Understanding of networking concepts: VPC, Subnets, Load Balancers, Security Groups
Familiarity with monitoring, logging, and alerting
Good to Have (Nice-to-Have Skills)
Experience with Terraform
Exposure to Helm charts
Experience with Databases (RDS, Azure SQL, PostgreSQL, MySQL)
Knowledge of message queues (RabbitMQ, SQS, Service Bus)
Experience with FastAPI, Node.js, or microservices
Basic scripting skills in Bash or Python
Exposure to LLMOps or AI workloads is a plus
Benefits
What We Offer
Opportunity to work on production-scale cloud systems
Exposure to both AWS and Azure ecosystems
Fast-paced environment with real ownership
Learning and growth opportunities in Cloud, DevOps, and SRE practices
Competitive salary based on experience
