Padmi

DevOps/Cloud Engineer - CI/CD Pipeline

Delhi NCRPosted 2 months ago
Infrastructure And DatabasesMid-levelFull Time; Regular
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Description : Job Title : DevOps / Cloud Engineer (Docker, Kubernetes, FastAPI, Security) Domain : IT Systems & Platforms Location : Gurugram Work From Office (Mandatory) Experience : Minimum 3+ Years (Industry Experience Required) Joining : Within 4 Days Immediate Availability Only Work Schedule : 6 Days a Week | 10 :00 AM 7 :00 PM (Extended hours when required) ONLY Gurugram / Delhi NCR candidates should apply Must be available to join within 4 days Work from office only no remote / hybrid Must handle pressure, deadlines, and production responsibility Role Overview : We are hiring a DevOps & Cloud Engineer to own cloud infrastructure, deployments, CI/CD pipelines, and security for mission-critical IT systems. This is a hands-on execution role, not advisory or support. Core Responsibilities : - Deploy, manage, and secure cloud infrastructure (AWS / Azure / GCP) - Containerize and manage applications using Docker - Orchestrate and secure services using Kubernetes (RBAC, secrets, network policies) - Deploy and maintain FastAPI-based backend services - Build and maintain CI/CD pipelines for production environments - Implement cloud and Kubernetes security best practices - Monitor system performance, logs, uptime, and alerts - Automate infrastructure using Terraform / IaC tools - Ensure system scalability, backups, and disaster recovery Mandatory Skill Set : - 3+ years industry experience in DevOps / Cloud roles - Strong hands-on experience with Docker & Kubernetes - FastAPI deployment experience - Cloud platforms : AWS / Azure / GCP - Linux system administration - CI/CD tools : GitHub Actions / GitLab CI / Jenkins - Security : IAM, VPC, firewalls, secrets management - Networking fundamentals (load balancers, ingress, DNS) Good to Have : - DevSecOps experience - Monitoring tools : Prometheus, Grafana, ELK - AI/ML platform deployment exposure - Helm, service mesh, or Zero Trust concepts Candidate Profile : - Strong ownership mindset - Comfortable working extended hours when required - Focused on production-grade delivery, not experimentation - Resposibility and strict norms accountable for work done Description : Job Title : DevOps / Cloud Engineer (Docker, Kubernetes, FastAPI, Security) Domain : IT Systems & Platforms Location : Gurugram Work From Office (Mandatory) Experience : Minimum 3+ Years (Industry Experience Required) Joining : Within 4 Days Immediate Availability Only Work Schedule : 6 Days a Week | 10 :00 AM 7 :00 PM (Extended hours when required) ONLY Gurugram / Delhi NCR candidates should apply Must be available to join within 4 days Work from office only no remote / hybrid Must handle pressure, deadlines, and production responsibility Role Overview : We are hiring a DevOps & Cloud Engineer to own cloud infrastructure, deployments, CI/CD pipelines, and security for mission-critical IT systems. This is a hands-on execution role, not advisory or support. Core Responsibilities : - Deploy, manage, and secure cloud infrastructure (AWS / Azure / GCP) - Containerize and manage applications using Docker - Orchestrate and secure services using Kubernetes (RBAC, secrets, network policies) - Deploy and maintain FastAPI-based backend services - Build and maintain CI/CD pipelines for production environments - Implement cloud and Kubernetes security best practices - Monitor system performance, logs, uptime, and alerts - Automate infrastructure using Terraform / IaC tools - Ensure system scalability, backups, and disaster recovery Mandatory Skill Set : - 3+ years industry experience in DevOps / Cloud roles - Strong hands-on experience with Docker & Kubernetes - FastAPI deployment experience - Cloud platforms : AWS / Azure / GCP - Linux system administration - CI/CD tools : GitHub Actions / GitLab CI / Jenkins - Security : IAM, VPC, firewalls, secrets management - Networking fundamentals (load balancers, ingress, DNS) Good to Have : - DevSecOps experience - Monitoring tools : Prometheus, Grafana, ELK - AI/ML platform deployment exposure - Helm, service mesh, or Zero Trust concepts Candidate Profile : - Strong ownership mindset - Comfortable working extended hours when required - Focused on production-grade delivery, not experimentation - Resposibility and strict norms accountable for work done

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